Tag Archives: #Intelligent Warfare

Chinese Military New Requirements of Combat-Oriented Training in the Era of Intelligentization

智慧化時代中國軍隊作戰導向訓練的新要求

現代英語:

As a high-intensity, targeted training closely aligned with actual combat, realistic combat training plays a crucial role in enhancing the combat effectiveness of the armed forces and is an inevitable choice for adapting to the evolving nature of warfare and responding to complex security threats. In the intelligent era, the deep integration of military technology, the suddenness of war outbreaks, and the rapid pace of offensive and defensive transitions are becoming increasingly prominent, posing systemic challenges to realistic combat training in areas such as demand guidance, environment construction, tactical innovation, and technological empowerment. To this end, we should focus on building a new training management model that accurately maps needs, deeply embeds adversaries, makes tactics flexible and effective, and deeply integrates technology, so as to achieve resonance between training scenarios and combat environments, dynamic coupling between training content and combat actions, and precise alignment between training results and actual combat needs, thereby comprehensively improving the overall quality and efficiency of combat-oriented training.

The need to meet the demands of “combat” necessitates intensive training based on specific plans.

In the intelligent era, the diversification of weapons, equipment, and combat methods has brought more variables to combat operations. Realistic training must be aligned with actual combat needs, calibrate training objectives through testing in real scenarios, continuously enhance the flexibility of combat plans, and improve the adaptability of troops.

Operational guidance calibrates training targets. As a form of training closely aligned with actual combat, realistic training can only achieve maximum effectiveness by closely adhering to the needs of intelligent warfare, transforming abstract operational concepts into concrete training topics, and deconstructing strategic and operational requirements into quantifiable and assessable tactical indicators. Emphasis should be placed on battlefield adaptability training in complex and ever-changing battlefield environments, strengthening training on challenging issues such as cyber and electronic warfare, autonomous coordination, and the integration of new technologies, to ensure that a proactive battlefield advantage is always maintained. Training content should be dynamically optimized by closely monitoring cutting-edge operational concepts, continuously promoting the interaction and coupling of actual combat and training, and consistently maintaining a high level of combat readiness training.

Practice refines and strengthens the resilience of operational plans. Intelligent warfare is fast-paced and rapidly changing; only through repeated verification and refinement in realistic training can the feasibility and adaptability of operational plans be guaranteed. A multi-functional, intelligent, and professional training ground system should be constructed to continuously refine key aspects such as command and decision-making, force deployment, and operational coordination in scenario-based training, constantly testing the resilience of the command chain, the robustness of coordination mechanisms, and the sustainability of the support system. In fact, testing and improving operational plans through realistic training is timeless. Prior to the Normandy landings, the Allied forces conducted Exercise Tiger at Slapton Beach to improve combat skills, enhance combat experience, and test coordination efficiency. Despite a series of oversights and errors, serious deficiencies in command and communication, landing and unloading were also discovered. By revising and improving the combat plan and addressing the shortcomings, the actual combat casualty rate was greatly reduced, laying a solid foundation for the successful implementation of the final landing operation.

Mission-driven training strengthens capabilities. High-intensity, near-real combat training effectively exposes weaknesses and deficiencies, forcing units to develop targeted measures and ultimately boosting combat capabilities. Close attention should be paid to the specific tasks undertaken by the troops, such as reconnaissance and surveillance, information warfare, force projection, and unmanned operations. Problems should be identified during exercises and practical training, and countermeasures should be developed according to local conditions to address weaknesses in combat capabilities. Before the Hundred Regiments Offensive during the War of Resistance Against Japan, a unit of the Eighth Route Army, recognizing its weak railway sabotage capabilities, conducted targeted intensive training focusing on reconnaissance and surveillance, explosives demolition, and dismantling and transportation. This significantly improved the unit’s railway sabotage capabilities, laying a crucial foundation for victory.

Based on the standard of “war”, we insist on independent confrontation.

In the intelligent era, intelligent unmanned equipment is being used extensively, new combat forces with new characteristics are constantly emerging, and the features of hybrid games and system confrontation are becoming more prominent. This requires that combat-oriented training must be based on actual combat standards and targeted confrontation training must be carried out against strong adversaries.

Reconstructing cognitive benchmarks through re-enactment of enemy situations. Accurate understanding of the operational target system and the adversary’s combat capabilities is not only a prerequisite for winning intelligent warfare but also the foundation for planning and organizing effective combat-oriented training. We must closely monitor the adversary, comprehensively, accurately, and systematically grasp the latest military intelligence dynamics regarding their operational theories, command methods, tactics, operational deployments, and the performance of key weapons and equipment. Furthermore, we must deeply study countermeasures, cultivate the ability to win, and ensure that we anticipate the enemy’s moves and achieve surprise victories in wartime. We should systematically deconstruct the future battlefield environment, starting from multiple dimensions such as the strategic domain, physical domain, network domain, and electromagnetic domain, and use multiple methods to construct a training environment that matches information-based and intelligent warfare, providing strong support for key training subjects and seeking winning strategies.

Red-Blue competition drives a qualitative leap in capabilities. In the context of intelligent warfare, combat-oriented training places greater emphasis on targeted and intense confrontation, requiring the creation of simulated “Blue Force” forces to higher standards, the design of appropriate training content, and the effective implementation of adversarial red-Blue confrontation training. It is essential to focus on tactical confrontation training, operational confrontation exercises, and in-depth strategic game-based confrontation simulations, ensuring their effective implementation at all levels of combat-oriented training. Emphasis should be placed on both virtual simulation confrontation exercises and live-fire confrontation exercises, combining virtual and real elements to provide strong support for combat-oriented training. The training should not only present the size and weaponry of the adversary but also reflect their tactical applications and systemic operations, providing a reliable and credible “touchstone” for combat-oriented training.

Extreme training is essential for honing systemic capabilities. Only by benchmarking against actual combat and organizing realistic training with the standards and intensity of “war” can we objectively assess the combat effectiveness of the troops and promote the improvement of their systemic capabilities. Based on specific enemy situations and complex battlefields, we must deeply anticipate unforeseen circumstances, starting with the most difficult, complex, and passive situations. We should create numerous dangerous, stalemate, difficult, critical, and dire situations to cultivate the confidence and courage to fight and win, and the ability to adapt and achieve victory in perilous circumstances, thereby comprehensively testing and refining the troops’ combat capabilities.

Anchoring “Battle” Effectiveness Innovations in Tactics and Combat Methods

Combat operations in the intelligent era exhibit some new characteristics, emphasizing information dominance and system integration, as well as precise control and accurate energy release. This also requires combat-oriented training to focus on combat effectiveness and seek more effective methods and measures for innovative tactics and maneuvers.

Training and research should be integrated to drive tactical innovation. Effective tactics are often gradually refined and formed through actual combat training. By leveraging the “tempering” process of realistic combat training, weaknesses in tactical application can be exposed to the greatest extent, prompting the innovation and improvement of tactics and methods. Based on the fundamental orientation of practicality and effectiveness, we should strengthen the innovative application of tactics and training methods, deeply analyze combat patterns, capability chains, key nodes, force organization, and tactical means in theoretical research and practical exercises, accelerate the integration of new domains and new quality systems, and ensure the effective implementation of new combat concepts, tailoring “trump cards” and “tactical sets” for countering and defeating the enemy.

Realistic combat training drives the testing of tactics. Tactics that remain at the theoretical level have no vitality; only tactics that have undergone repeated testing in realistic combat can quickly adapt to the future battlefield. Therefore, realistic combat training places greater emphasis on tactics originating from practice, being tested in practice, and being applied to practice. Through repeated simulation training, deduction exercises, and live-fire drills, scientific and applicable command principles, action points, and support essentials should be formed. Tactics should be tested, enriched, and improved in practice to fully adapt to future informationized and intelligent warfare.

Advancing the evolution of tactics in accordance with the times. No matter how times change, surprise and flexibility remain the “soul” of tactical application and the prerequisite for gaining the initiative on the battlefield. In the intelligent era, new equipment and tactics supported by model algorithms are constantly emerging. Only by keeping pace with the trends of military reform, proactively analyzing the laws of war and the mechanisms of victory, and being one step ahead in discovering and updating tactics, can we ensure that we can deploy our forces and exert our strength one step ahead of the enemy in wartime. Recent local conflicts have repeatedly demonstrated to us the practical application of new operational concepts and the continuous emergence of new tactics and methods. We should focus on strong enemy targets, confront threats and challenges head-on, actively adapt to changes, and proactively seek changes. Based on operational concepts such as flexible mobility and asymmetric enemy control, we should develop and design strategies and tactics to defeat the enemy and comprehensively improve our battlefield adaptability.

Strengthen technological capabilities in line with the trends of “warfare”.

In the intelligent era, the extensive and in-depth application of new-generation military technologies has not only accelerated the pace of warfare, changed the form of war, and given rise to new threats, but also provided more options for combat-oriented training.

Knowledge reshaping elevates cognitive thinking. Cognitive thinking reflects the depth of understanding of warfare and the degree of adaptability to the battlefield. Therefore, some consider cognitive thinking a key foundational element of command ability. In the intelligent era, only those with keen technological awareness and battlefield perception can accurately grasp the battlefield situation, precisely control forces, and flexibly manage actions to gain a combat advantage. It is crucial to strengthen the learning of the latest technologies such as big data, the Internet of Things, cloud computing, and blockchain, and through targeted training, systematically master the characteristics and laws of informationized and intelligent warfare, establish a systemic warfare mindset, and enhance technological effectiveness for realistic combat training.

Simulation interaction optimizes environmental conditions. Virtual simulation technology not only has advantages in reducing material input and lowering safety risks, but also in constructing intelligent warfare scenarios to improve training quality. Emphasis should be placed on utilizing virtual reality, augmented reality, and mixed reality technologies to construct highly immersive and interactive virtual battlefield spaces, providing trainees with realistic visual, auditory, and tactile experiences. Emphasis should also be placed on leveraging intelligent wearable devices, sensor arrays, and virtual simulation systems to construct training scenarios that closely resemble actual combat, supporting trainees in battlefield awareness and action simulation training, and comprehensively improving the quality of combat-oriented training.

Intelligent empowerment revitalizes data and information. In the intelligent era, the multidimensionality of the environment, the diversity of force equipment, and the variety of offensive and defensive confrontations have led to a massive surge of combat training data, making its management and application a major challenge in training practice. Data mining technology should be fully utilized, leveraging big data, algorithms, and large models to transform the vast amounts of scattered behavioral, physiological, and environmental data generated in training practice into quantifiable, traceable, and optimizable digital resources. This will enable the centralized delivery and innovative application of training information. Based on this, a closed-loop management system for training information—”decision-planning-collection-processing-evaluation”—can be established to drive the transformation of combat training from generalized, extensive management to intelligent, precise management.

現代國語:

實戰化訓練作為一種緊貼實戰的高強度針對性訓練,對於提升部隊戰斗力發揮著至關重要的作用,是適應戰爭形態發展、應對復雜安全威脅的必然選項。智能時代,軍事技術的深介入、戰爭爆發的突然性、攻防轉換的快節奏越發凸顯,使得實戰化訓練在需求傳導、環境構建、戰法創新、科技賦能等方面面臨系統性挑戰。為此,應著力構建需求精准映射、對手深度嵌入、戰法靈活有效、技術深度融入的新型訓練管理模式,實現訓練場景與作戰環境同頻共振、訓練內容與作戰行動動態耦合、訓練成果與實戰需求精確對接,全方位提升實戰化訓練綜合質效。

對接“戰”的需求突出依案強訓

智能時代,武器裝備、作戰手段的多樣化,使得作戰行動具有更多變量。實戰化訓練必須對接實戰需求,在實案實情檢驗中校准訓練指向,不斷強化作戰方案柔韌性,提升部隊能力適應性。

作戰牽引校准訓練靶向。作為一種緊貼實戰的訓練形式,實戰化訓練唯有緊扣智能化戰爭需求,將抽象作戰構想轉化為具體訓練課題,將戰略戰役需求解構為可量化、可評估的戰術指標,方能求得最大訓練實效。應突出復雜多變戰場環境下的戰場適應性訓練,強化網電攻防、自主協同、新質融入等重難問題訓練,以確保始終佔據戰場優勢主動。應緊盯前沿作戰理念,動態優化訓練內容,不斷推動實戰與訓練互動耦合,始終保持戰備訓練的高水准。

實踐淬煉強化方案韌性。智能化戰爭節奏緊湊、瞬息萬變,只有在實戰化訓練中歷經反復驗證打磨,才能保證作戰方案的可行性適應性。應構建多功能、智能化、專業化訓練場地體系,在基於實案的訓練中持續推敲指揮決策、兵力運用、作戰協同等關鍵環節,不斷考驗指揮鏈路抗毀性、協同機制穩健性、保障體系持續性。事實上,通過實戰化訓練檢驗完善作戰方案,無論在哪個年代都不過時。諾曼底登陸前,盟軍為提升作戰技能、增強實戰體驗、檢驗協同效率,在斯拉普頓海灘組織參戰部隊開展“猛虎演習”,盡管出現了一系列疏忽失誤,但也發現了指揮通聯、登陸卸載等多項嚴重缺陷,進而通過修訂完善作戰方案、改進問題不足,大大降低了實際作戰傷亡率,為最後登陸作戰行動的成功實施打下了堅實基礎。

任務驅動補強能力短板。高強度近實戰的實戰化訓練,能夠最大程度暴露能力短板缺陷,倒逼部隊制定針對性措施,反哺作戰能力躍升。應緊盯部隊擔負的偵察監視、信息攻防、力量投送、無人作戰等具體任務,在演訓實踐中發現矛盾問題,因地制宜研究對策,補足作戰能力弱環。抗日戰爭百團大戰前,八路軍某部針對鐵路破襲能力薄弱的現實狀況,圍繞偵察警戒、炸藥爆破、拆除搬運等展開針對性強化訓練,大大提高了部隊道路破襲能力,奠定了作戰勝利的重要基礎。

基於“戰”的標准堅持自主對抗

智能時代,智能無人裝備大量運用,新域新質作戰力量不斷湧現,混合博弈、體系對抗的特征更加鮮明,要求實戰化訓練必須基於實戰標准,緊盯強敵對手展開針對性對抗訓練。

敵情復現重構認知基准。對作戰目標體系和對手作戰能力的精准認知,既是打贏智能化戰爭的前提,也是籌劃組織好實戰化訓練的基礎。應緊盯作戰對手,全面、准確、系統掌握其作戰理論、指揮方式、戰法打法、作戰部署、關鍵武器裝備性能等最新軍情動態,進而深研應對策略,鍛造打贏能力,確保戰時料敵於先、出奇制勝。應系統解構未來戰場環境,從戰略域、物理域、網絡域、電磁域等多維空間入手,多法並舉構設與信息化智能化戰爭相匹配的演訓環境,為演練重點課目、尋求制勝招法等提供強力支撐。

紅藍競技催生能力質變。智能化戰爭背景下,實戰化訓練更加強調訓練的針對性、強對抗,要求以更高標准打造模擬“藍軍”力量、設置適配訓練內容,開展好互為對手紅藍對抗訓練。既要抓實戰術對抗訓練,也要抓牢戰役對抗演練,還要抓深戰略博弈對抗推演,落地落位各層級實戰化訓練。既要注重虛擬仿真對抗演訓,也要關注實兵實裝對抗演練,虛實結合為實戰化訓練提供強力支持。既要呈現出作戰對手的編制規模、武器裝備,更要反映出其戰法運用、體系運轉,為實戰化訓練提供可靠可信“試金石”。

極限磨礪鍛造體系能力。只有對標對表實戰,以“戰”的標准強度組織實戰化訓練,才能客觀檢驗部隊戰斗力水平,推動部隊體系能力提升。要依據具體敵情、復雜戰場,深度預想突發情況,從應對最困難、最復雜、最被動局面出發,多設險局、僵局、難局、危局、殘局,在近似實戰的環境中培養敢打必勝的信心勇氣、險中求勝的應變能力,全面檢驗和錘煉部隊實戰能力。

錨定“戰”的效能創新戰法打法

智能時代的作戰行動呈現出一些全新特征,更加強調信息主導、體系集成,更加強調精確調控、精准釋能,這也要求實戰化訓練要錨定作戰效能,在創新戰法打法上尋求更多行之有效的方法措施。

研訓一體驅動戰術革新。行之有效的戰術,往往在實戰實訓中逐步凝練形成。借助實戰化訓練這一“淬火”環節,可以最大限度暴露戰術運用弱點,牽引推動戰法打法破舊立新、修訂完善。應基於實用管用根本導向,強化戰法訓法創新運用,在理論攻關和演訓實踐中深度解析作戰樣式、能力鏈路、節點樞紐、力量編組和戰法手段等,加快推動新域新質體系融入、新型作戰概念落地見效,量身打造抗敵制敵的“撒手鐧”“戰法集”。

真打實訓推動戰法檢驗。停留在理論層面的戰法是沒有生命力的,只有歷經真打實訓反復檢驗的戰法才能迅速適應未來戰場。因此,實戰化訓練更加強調戰法打法源於實踐、驗於實踐、用於實踐。要通過反復開展模擬訓練、仿真推演、實兵實裝演練,形成科學適用的指揮要則、行動要點、保障要義,在實踐中檢驗、豐富和完善戰法打法,全面適應未來信息化智能化戰爭。

因時順勢推進戰法演進。無論時代如何變遷,出敵不意、靈活機動始終是戰法運用的“魂”,是獲取戰場主動的前提。智能時代,模型算法支撐下的新裝備、新戰法不斷湧現,只有緊跟軍事變革潮流主動解析戰爭規律、制勝機理,先人一步挖掘戰法、更新戰法,才能保證戰時先敵一步布勢、先敵一步發力。近幾場局部戰爭沖突,一再向我們展示新型作戰概念的真切運用,新型戰法打法的層出不窮。應聚焦強敵靶標,直面威脅挑戰,積極適變、主動求變,基於靈活機動、非對稱制敵等作戰理念,開發設計克敵之策、制敵之計,全面提升戰場適應能力。

緊扣“戰”的趨向強化科技賦能

智能時代,由於新一代軍事技術的廣泛深度運用,在加速作戰節奏、改變戰爭形態、催生新型威脅的同時,也為實戰化訓練提供了更多選項。

知識重塑抬升認知思維。思維認知能力反映對戰爭的認識高度,折射對戰場的適應程度。因此,有人將思維認知能力看作指揮能力的關鍵基礎要素。在智能時代,只有具備敏銳的科技認知、戰場感知,才可能在戰時精准掌握戰場態勢、精密調控力量、靈活控制行動,取得作戰優勢勝勢。要注重強化大數據、物聯網、雲計算、區塊鏈等最新科技知識學習,並通過針對性訓練,系統掌握信息化智能化戰爭特性規律,樹牢體系化戰爭思維,為實戰化訓練疊加科技效能。

仿真交互優化環境條件。虛擬仿真技術不僅在減少耗材投入、降低安全風險方面佔據優勢,而且在構設智能化戰爭場景提高訓練質量方面具有優勢。應注重運用虛擬現實、增強現實、混合現實等技術,構建高度沉浸式可交互的虛擬戰場空間,為受訓人員提供視覺、聽覺、觸覺的真實感受。應注重依托智能穿戴設備、傳感器陣列和虛擬仿真系統等,構建貼近實戰的訓練場景,支撐受訓人員展開戰場感知、行動模擬等訓練,全面提升實戰化訓練的質量層次。

智能賦能盤活數據信息。智能時代,環境空間的多維性、力量裝備的多元性、攻防對抗的多樣性,使得實戰化訓練數據信息海量湧現,其管理運用也成為訓練實踐中的一大難題。應充分利用數據挖掘技術,借助大數據、算法、大模型等,將訓練實踐中大量離散的行為數據、生理數據、環境數據等轉化為可量化、可追溯、可優化的數字資源,進而實現訓練信息的歸口推送、創新運用。在此基礎上,通過形成訓練信息“決策—計劃—采集—處理—評估”閉環管理體系,推動實戰化訓練從概略粗放管理向智能精准管理轉變。

中國軍網 國防部網 // 2025年10月31日 星期四

中國原創軍事資源:http://www.81.cn/szb_223187/szbxq/index.html?paperName=jfjb&paperDate=2025-10-31&paperNumber=03&articleid=964349

Chinese Military Era of Intelligent Warfare Rapidly Approaching

中國軍事智能化戰爭時代迅速來臨

現代英語:

Since the beginning of the new century, the rapid development of intelligent technologies, with artificial intelligence (AI) at its core, has accelerated the process of a new round of military revolution, and competition in the military field is rapidly moving towards an era of intellectual dominance. Combat elements represented by “AI, cloud, network, cluster, and terminal,” combined in diverse ways, constitute a new battlefield ecosystem, completely altering the mechanisms of victory in warfare. AI systems based on models and algorithms will be the core combat capability, permeating all aspects and stages, playing a multiplicative, transcendent, and proactive role. Platforms are controlled by AI, clusters are guided by AI, and systems are made to decision by AI. Traditional human-centric tactics are being replaced by AI models and algorithms, making intellectual dominance the core control in future warfare. The stronger the intelligent combat capability, the greater the hope of subduing the enemy without fighting.

[Author Biography] Wu Mingxi is the Chief Scientist and Researcher of China Ordnance Industry Group, Deputy Secretary-General of the Science and Technology Committee of China Ordnance Industry Group, and Deputy Director of the Science and Technology Committee of China Ordnance Science Research Institute. His research focuses on national defense science and technology and weaponry development strategies and planning, policies and theories, management and reform research. His major works include “Intelligent Warfare – AI Military Vision,” etc.

Competition in the Age of Intellectual Property

The history of human civilization is a history of understanding and transforming nature, and also a history of understanding and liberating oneself. Through the development of science and technology and the creation and application of tools, humanity has continuously enhanced its capabilities, reduced its burdens, freed itself from constraints, and liberated itself. The control of war has also constantly changed, enriched, and evolved with technological progress, the expansion of human activity space, and the development of the times. Since the 19th century, humanity has successively experienced the control and struggle for land power, sea power, air power, space power, and information power. With the rapid development of intelligent technologies such as artificial intelligence (AI), big data, cloud computing, bio-interdisciplinary technologies, unmanned systems, and parallel simulation, and their deep integration with traditional technologies, humanity’s ability to understand and transform nature has been transformed in terms of epistemology, methodology, and operational mechanisms. This is accelerating the major technological revolutions in machine intelligence, bionic intelligence, swarm intelligence, human-machine integrated intelligence, and intelligent perception, intelligent decision-making, intelligent action, intelligent support, as well as intelligent design, research and development, testing, and manufacturing, thus accelerating the evolution of warfare towards the control and struggle for intellectual power.

The rapid development of intelligent technology has garnered significant attention from major countries worldwide, becoming a powerful driving force for the leapfrog development of military capabilities. The United States and Russia have placed intelligent technology at the core of maintaining their strategic status as global military powers, and significant changes have occurred in their development concepts, models, organizational methods, and innovative applications. They have also carried out substantive applications and practices of military intelligence (see Figure 1).

Wu Mingxi 1

In August 2017, the U.S. Department of Defense stated that future AI warfare was inevitable and that the U.S. needed to “take immediate action” to accelerate the development of AI warfare technologies. The U.S. military’s “Third Offset Strategy” posits that a military revolution, characterized by intelligent armies, autonomous equipment, and unmanned warfare, is underway; therefore, they have identified intelligent technologies such as autonomous systems, big data analytics, and automation as key development directions. In June 2018, the U.S. Department of Defense announced the establishment of the Joint Artificial Intelligence Center, which, guided by the national AI development strategy, coordinates the planning and construction of the U.S. military’s intelligent military system. In February 2019, then-President Trump signed the “American Artificial Intelligence Initiative” executive order, emphasizing that maintaining U.S. leadership in AI is crucial for safeguarding U.S. economic and national security, and requiring the federal government to invest all resources in promoting innovation in the U.S. AI field. In March 2021, the U.S. National Security Council on Artificial Intelligence released a research report stating that, “For the first time since World War II, the technological advantage that has been the backbone of U.S. economic and military power is under threat. If current trends do not change, China possesses the power, talent, and ambition to surpass the United States as the global leader in artificial intelligence within the next decade.” The report argues that the United States must use artificial intelligence swiftly and responsibly to prepare for these threats in order to safeguard national security and enhance defense capabilities. The report concludes that artificial intelligence will transform the world, and the United States must take a leading role.

Russia also attaches great importance to the technological development and military application of artificial intelligence. The Russian military generally believes that artificial intelligence will trigger the third revolution in the military field, following gunpowder and nuclear weapons. In September 2017, Russian President Vladimir Putin publicly stated that artificial intelligence is the future of Russia, and whoever becomes the leader in this field will dominate the world. In October 2019, Putin approved the “Russian National Strategy for the Development of Artificial Intelligence until 2030,” aiming to accelerate the development and application of artificial intelligence in Russia and seek a world-leading position in the field.

In July 2017, the State Council of China issued the “New Generation Artificial Intelligence Development Plan,” which put forward the guiding ideology, strategic goals, key tasks and safeguard measures for the development of new generation artificial intelligence towards 2030, and deployed efforts to build a first-mover advantage in the development of artificial intelligence and accelerate the construction of an innovative country and a world-class science and technology power.

Other major countries and military powers around the world have also launched their own artificial intelligence development plans, indicating that the global struggle for “intellectual power” has fully unfolded. Land power, sea power, air power, space power, information power, and intellectual power are all results of technological progress and products of their time, each with its own advantages and disadvantages, and some theories are constantly expanding with the changing times. From the development trend of control over warfare since modern times, it can be seen that information power and intellectual power involve the overall situation, carrying greater weight and influence. In the future, with the accelerated pace of intelligent development, intellectual power will become a rapidly growing new type of battlefield control with greater strategic influence on the overall combat situation.

The essence of military intelligence lies in leveraging intelligent technologies to establish diverse identification, decision-making, and control models for the war system. These models constitute artificial intelligence (AI), the core of the new era’s intellectual power struggle. The war system encompasses: equipment systems such as individual units, clusters, manned/unmanned collaborative operations, and multi-domain and cross-domain warfare; combat forces such as individual soldiers, squads, detachments, combined arms units, and theater command; operational links such as networked perception, mission planning and command, force coordination, and comprehensive support; specialized systems such as network attack and defense, electronic warfare, public opinion control, and infrastructure management; and military industrial capabilities such as intelligent design, research and development, production, mobilization, and support. AI, in the form of chips, algorithms, and software, is embedded in every system, level, and link of the war system, forming a systematic brain. Although AI is only a part of the war system, its increasingly powerful “brain-like” functions and capabilities “surpassing human limits” will inevitably dominate the overall situation of future warfare.

Battlefield Ecosystem Reconstruction

Traditional warfare involves relatively independent and separate combat elements, resulting in a relatively simple battlefield ecosystem, primarily consisting of personnel, equipment, and tactics. In the intelligent era, warfare is characterized by significant integration, correlation, and interaction among various combat elements. This will lead to substantial changes in the battlefield ecosystem, forming a combat system, cluster system, and human-machine system comprised of an AI brain, distributed cloud, communication networks, collaborative groups, and various virtual and physical terminals—collectively known as the “AI, Cloud, Network, Cluster, Terminal” intelligent ecosystem (see Figure 2). Among these, AI plays a dominant role.

Wu Mingxi 2

AI Brain System. The AI ​​brain system of the intelligent battlefield is a networked and distributed system that is inseparable from and interdependent with combat platforms and missions. It can be classified in several ways. Based on function and computing power, it mainly includes cerebellum, swarm brain, midbrain, hybrid brain, and cerebrum; based on combat missions and stages, it mainly includes sensor AI, combat mission planning and decision-making AI, precision strike and controllable destruction AI, network attack and defense AI, electronic warfare AI, intelligent defense AI, and integrated support AI; based on form, it mainly includes embedded AI, cloud AI, and parallel system AI.

The cerebellum mainly refers to the embedded AI in sensor platforms, combat platforms, and support platforms, which mainly performs tasks such as battlefield environment detection, target recognition, rapid maneuver, precision strike, controlled destruction, equipment support, maintenance support, and logistical support.

“Swarm brain” mainly refers to the AI ​​that enables intelligent control of unmanned swarm platforms on the ground, in the air, at sea, in the water, and in space. It mainly performs tasks such as collaborative perception of the battlefield environment, swarm maneuver, swarm attack, and swarm defense. The key components include algorithms for homogeneous swarm systems and algorithms for heterogeneous systems such as manned-unmanned collaboration.

The midbrain mainly refers to the AI ​​system of the command center, data center, and edge computing of the front-line units on the battlefield. It mainly performs dynamic planning, autonomous decision-making, and auxiliary decision-making for tactical unit combat missions under online and offline conditions.

Hybrid brain mainly refers to a hybrid decision-making system in which commanders and machine AI collaborate in combat operations of organized units. Before the battle, it mainly performs human-based combat mission planning; during the battle, it mainly performs adaptive dynamic mission planning and adjustment based on machine AI; and after the battle, it mainly performs hybrid decision-making tasks oriented towards counter-terrorism and defense.

The “brain” primarily refers to the model, algorithm, and tactical libraries of the theater command center and data center, playing a key supporting role in campaign and strategic decision-making. Due to the abundant data, various battlefield AI systems can be trained and modeled here, and then loaded into different mission systems once mature.

In future battlefields, there will be other AIs of different functions, types, and sizes, such as sensor AI, which mainly includes image recognition, electromagnetic spectrum recognition, sound recognition, speech recognition, and human activity behavior recognition. With the rapid development and widespread application of intelligence, AIs of all sizes will exist throughout society, serving the public and society in peacetime, and potentially serving the military in wartime.

Distributed cloud. Military cloud differs from civilian cloud. Generally speaking, a military cloud platform is a distributed resource management system that uses communication networks to search, collect, aggregate, analyze, calculate, store, and distribute operational information and data. By constructing a distributed system and a multi-point fault-tolerant backup mechanism, a military cloud platform possesses powerful intelligence sharing capabilities, data processing capabilities, resilience, and self-healing capabilities. It can provide fixed and mobile, public and private cloud services, achieving “one-point collection, everyone sharing,” greatly reducing information flow links, making command processes flatter and faster, and avoiding redundant and decentralized construction at all levels.

From the perspective of future intelligent warfare needs, military cloud needs to construct at least a four-tiered system: tactical front-end cloud, troop cloud, theater cloud, and strategic cloud. Based on operational elements, it can also be divided into specialized cloud systems such as intelligence cloud, situational awareness cloud, firepower cloud, information warfare cloud, support cloud, and nebula.

1. Front-end cloud primarily refers to computing services provided by units, squads, and platforms, including information perception, target identification, battlefield environment analysis, autonomous and assisted decision-making, and operational process and effect evaluation. The role of front-end cloud is mainly reflected in two aspects. First, it facilitates the sharing and collaboration of computing and storage resources among platforms, and the interactive integration of intelligent combat information. For example, if a platform or terminal is attacked, relevant perception information, damage status, and historical data will be automatically backed up, replaced, and updated through a networked cloud platform, and the relevant information will be uploaded to the higher command post. Second, it provides online information services and intelligent software upgrades for offline terminals.

2. Military cloud primarily refers to the cloud systems built at the battalion and brigade level for operations. Its focus is on providing computing services such as intelligent perception, intelligent decision-making, autonomous action, and intelligent support in response to different threats and environments. The goal of military cloud construction is to establish a networked, automatically backed-up, distributed cloud system connected to multiple links with higher-level units. This system should meet the computing needs of different forces, including reconnaissance and perception, mobile assault, command and control, firepower strikes, and logistical support, as well as the computing needs of various combat missions such as tactical joint operations, manned/unmanned collaboration, and swarm offense and defense.

3. Theater Cloud primarily provides battlefield weather, geographical, electromagnetic, human, and social environmental factors and information data for the entire operational area. It offers comprehensive information on troop deployments, weaponry, movement changes, and combat losses for both sides, as well as relevant information from higher command, friendly forces, and civilian support. Theater Cloud should possess networked, customized, and intelligent information service capabilities. It should interconnect with various operational units through military communication networks (space-based, airborne, ground-based, maritime, and underwater) and civilian communication networks (under secure measures) to ensure efficient, timely, and accurate information services.

4. Strategic cloud is mainly established by a country’s defense system and military command organs. It is primarily based on military information and covers comprehensive information and data related to defense technology, defense industry, mobilization support, economic and social support capabilities, as well as politics, diplomacy, and public opinion. It provides core information, assessments, analyses, and suggestions such as war preparation, operational planning, operational schemes, operational progress, battlefield situation, and battle situation analysis; and provides supporting data such as strategic intelligence, the military strength of adversaries, and war mobilization potential.

The various clouds mentioned above are interconnected, exhibiting both hierarchical and horizontal relationships of collaboration, mutual support, and mutual service. The core tasks of the military cloud platform are twofold: first, to provide data and computing support for building an AI-powered intelligent warfare system; and second, to provide operational information, computing, and data support for various combat personnel and weapon platforms. Furthermore, considering the needs of terminals and group operations, it is necessary to pre-process some cloud computing results, models, and algorithms into intelligent chips and embed them into weapon platforms and group terminals, enabling online upgrades or offline updates.

Communication networks. Military communication and network information constitute a complex super-network system. Since military forces primarily operate in land, sea, air, space, field maneuver, and urban environments, their communication networks encompass strategic and tactical communications, wired and wireless communications, secure communications, and civilian communications. Among these, wireless, mobile, and free-space communication networks are the most crucial components of the military network system, and related integrated electronic information systems are gradually established based on these communication networks.

Military communications in the mechanized era primarily followed the platform, terminal, and user, satisfying specific needs but resulting in numerous silos and extremely poor interconnectivity. In the information age, this situation is beginning to change. Currently, military communication networks are adopting new technological systems and development models, characterized by two main features: first, “network-data separation,” where information transmission does not depend on any specific network transmission method—”network access is all that matters”—any information can be delivered as long as the network link is unobstructed; second, internet-based architecture, utilizing IP addresses, routers, and servers to achieve “all roads lead to Beijing,” i.e., military networking or grid-based systems. Of course, military communication networks differ from civilian networks. Strategic and specialized communication needs exist at all times, such as nuclear button communications for nuclear weapons and command and control of strategic weapons, information transmission for satellite reconnaissance, remote sensing, and strategic early warning, and even specialized communications in individual soldier rooms and special operations conditions. These may still adopt a mission-driven communication model. Even so, standardization and internet connectivity are undoubtedly the future trends in military communication network development. Otherwise, not only will the number of battlefield communication frequency bands, radios, and information exchange methods increase, leading to self-interference, mutual interference, and electromagnetic compatibility difficulties, but radio spectrum management will also become increasingly complex. More importantly, it will be difficult for platform users to achieve automatic communication based on IP addresses and routing structures, unlike email on the internet where a single command can be sent to multiple users. Future combat platforms will certainly be both communication user terminals and also function as routers and servers.

Military communication network systems mainly include space-based communication networks, military mobile communication networks, data links, new communication networks, and civilian communication networks.

1. Space-Based Information Networks. The United States leads in the construction and utilization of space-based information networks. This is because more than half of the thousands of orbiting platforms and payloads in space are American-owned. Following the Gulf War, and especially during the Iraq War, the US military accelerated the application and advancement of space-based information networks through wartime experience. After the Iraq War, through the utilization of space-based information and the establishment of IP-based interconnection, nearly 140 vertical “chimneys” from the Gulf War period were completely interconnected horizontally, significantly shortening the “Out-of-Target-Action” (OODA) loop time. The time from space-based sensors to the shooter has been reduced from tens of hours during the Gulf War to approximately 20 seconds currently using artificial intelligence for identification.

With the rapid development of small satellite technology, low-cost, multi-functional small satellites are becoming increasingly common. As competition intensifies in commercial launches, costs are dropping dramatically, and a single launch can carry several, a dozen, or even dozens of small satellites. If miniaturized electronic reconnaissance, visible light and infrared imaging, and even quantum dot micro-spectroscopy instruments are integrated onto these satellites, achieving integrated reconnaissance, communication, navigation, meteorological, and mapping functions, the future world and battlefield will become much more transparent.

2. Military Mobile Communication Networks. Military mobile communication networks have three main uses. First, command and control between various branches of the armed forces and combat units in joint operations; this type of communication requires a high level of confidentiality, reliability, and security. Second, communication between platforms and clusters, requiring anti-jamming capabilities and high reliability. Third, command and control of weapon systems, mostly handled through data links.

Traditional military mobile communication networks are mostly “centralized, vertically focused, and tree-like structures.” With the acceleration of informatization, the trend towards “decentralized, self-organizing networks, and internet-based” is becoming increasingly apparent. As cognitive radio technology matures and is widely adopted (see Figure 3), future network communication systems will be able to automatically identify electromagnetic interference and communication obstacles on the battlefield, quickly locate available spectrum resources, and conduct real-time communication through frequency hopping and other methods. Simultaneously, software and cognitive radio technology can be compatible with different communication frequency bands and waveforms, facilitating seamless transitions from older to newer systems.

Wu Mingxi 3

3. Data Links. A data link is a specialized communication technology that uses time division, frequency division, and code division to transmit pre-agreed, periodic, or irregular, regular or irregular critical information between various combat platforms. Unless fully understood or deciphered by the enemy, it is very difficult to interfere with. Data links are mainly divided into two categories: dedicated and general-purpose. Joint operations, formation coordination, and swarm operations primarily utilize general-purpose data links. Satellite data links, UAV data links, missile-borne data links, and weapon fire control data links are currently mostly dedicated. In the future, generalization will be a trend, and specialization will decrease. Furthermore, from the perspective of the relationship between platforms and communication, the information transmission and reception of platform sensors and internal information processing generally follow the mission system, exhibiting strong specialization characteristics, while communication and data transmission between platforms are becoming increasingly general-purpose.

4. New Communication Technologies. Traditional military communication primarily relies on microwave communication. Due to its large divergence angle and numerous application platforms, corresponding electronic jamming and microwave attack methods have developed rapidly, making it easy to carry out long-range interference and damage. Therefore, new communication technologies such as millimeter waves, terahertz waves, laser communication, and free-space optical communication have become important choices that are both anti-jamming and easy to implement high-speed, high-capacity, and high-bandwidth communication. Although high-frequency electromagnetic waves have good anti-jamming performance due to their smaller divergence angle, achieving precise point-to-point aiming and omnidirectional communication still presents certain challenges, especially under conditions of high-speed maneuvering and rapid trajectory changes of combat platforms. How to achieve alignment and omnidirectional communication is still under technological exploration.

5. Civilian Communication Resources. The effective utilization of civilian communication resources is a strategic issue that must be considered and cannot be avoided in the era of intelligentization. In the future, leveraging civilian communication networks, especially 5G/6G mobile communications, for open-source information mining and data correlation analysis to provide battlefield environment, target, and situational information will be crucial for both combat and non-combat military operations. In non-combat military operations, especially overseas peacekeeping, rescue, counter-terrorism, and disaster relief, the military’s dedicated communication networks can only be used within limited areas and regions, raising the question of how to communicate and connect with the outside world. There are two main ways to utilize civilian communication resources: one is to utilize civilian satellite communication resources, especially small satellite communication resources; the other is to utilize civilian mobile communication and internet resources.

The core issue in the interactive utilization of military and civilian communication resources is addressing security and confidentiality. One approach is to employ firewalls and encryption, directly utilizing civilian satellite communications and global mobile communication infrastructure for command and communication; however, the risks of hacking and cyberattacks remain. Another approach is to utilize emerging technologies such as virtualization, intranets, semi-physical isolation, one-way transmission, mimicry defense, and blockchain to address these challenges.

Collaborative swarms. By simulating the behavior of bee colonies, ant colonies, flocks of birds, and schools of fish in nature, this research studies the autonomous collaborative mechanisms of swarm systems such as drones and smart munitions to accomplish combat missions such as attacking or defending against enemy targets. This can achieve strike effects that are difficult to achieve with traditional combat methods and approaches. Collaborative swarms are an inevitable trend in intelligent development and a major direction and key area of ​​intelligent construction. No matter how advanced the combat performance or how powerful the functions of a single combat platform, it cannot form a collective or scalable advantage. Simply accumulating quantity and expanding scale, without autonomous, collaborative, and orderly intelligent elements, is just a disorganized mess.

Collaborative swarms mainly comprise three aspects: first, manned/unmanned collaborative swarms formed by the intelligent transformation of existing platforms, primarily constructed from large and medium-sized combat platforms; second, low-cost, homogeneous, single-function, and diverse combat swarms, primarily constructed from small unmanned combat platforms and munitions; and third, biomimetic swarms integrating human and machine intelligence, possessing both biological and machine intelligence, primarily constructed from highly autonomous humanoid, reptile-like, avian-like, and marine-like organisms. Utilizing collaborative swarm systems for cluster warfare, especially swarm warfare, offers numerous advantages and characteristics.

1. Scale Advantage. A large unmanned system can disperse combat forces, increasing the number of targets the enemy can attack and forcing them to expend more weapons and ammunition. The survivability of a swarm, due to its sheer number, is highly resilient and resilient; the survivability of a single platform becomes less important, while the overall advantage becomes more pronounced. The sheer scale prevents drastic fluctuations in combat effectiveness, because unlike high-value manned combat platforms and complex weapon systems such as the B-2 strategic bomber and advanced F-22 and F-35 fighter jets, the loss of a low-cost unmanned platform, once attacked or destroyed, results in a sharp decline in combat effectiveness. Swarm operations can launch simultaneous attacks, overwhelming enemy defenses. Most defensive systems have limited capabilities, able to handle only a limited number of threats at a time. Even with dense artillery defenses, a single salvo can only hit a limited number of targets, leaving some to escape. Therefore, swarm systems possess extremely strong penetration capabilities.

2. Cost Advantage. Swarm warfare, especially bee warfare, primarily utilizes small and medium-sized UAVs, unmanned platforms, and munitions. These have simple product lines, are produced in large quantities, and have consistent quality and performance requirements, facilitating low-cost mass production. While the pace of upgrades and replacements for modern weapons and combat platforms has accelerated significantly, the cost increases have also been staggering. Since World War II, weapons development and procurement prices have shown that equipment costs and prices have risen much faster than performance improvements. Main battle tanks during the Gulf War cost 40 times more than those during World War II, while combat aircraft and aircraft carriers cost as much as 500 times more. From the Gulf War to 2020, the prices of various main battle weapons and equipment increased several times, tens of times, or even hundreds of times. In comparison, small and medium-sized UAVs, unmanned platforms, and munitions with simple product lines have a clear cost advantage.

3. Autonomous Advantage. Under a unified spatiotemporal reference platform, through networked active and passive communication and intelligent perception of battlefield targets, individual platforms in the group can accurately perceive the distance, speed, and positional relationships between each other. They can also quickly identify the nature, size, priority, and distance of target threats, as well as their own distance from neighboring platforms. With pre-defined operational rules, one or more platforms can conduct simultaneous or wave-based attacks according to the priority of target threats, or they can attack in groups simultaneously or in multiple waves (see Figure 4). Furthermore, the priority order for subsequent platforms to replace a damaged platform can be clearly defined, ultimately achieving autonomous decision-making and action according to pre-agreed operational rules. This intelligent combat operation, depending on the level of human involvement and the difficulty of controlling key nodes, can be either completely autonomous, or semi-autonomous, with human intervention.

Wu Mingxi 4

4. Decision-making advantage. The future battlefield environment is becoming increasingly complex, with combatants vying for dominance in intense strategic maneuvering and confrontation. Therefore, relying on humans to make decisions in a high-intensity confrontation environment is neither timely nor reliable. Thus, only by entrusting automated environmental adaptation, automatic target and threat identification, autonomous decision-making, and coordinated action to collaborative groups can adversaries be rapidly attacked or effective defenses implemented, thereby gaining battlefield advantage and initiative.

The coordination group brings new challenges to command and control. How to implement command and control of the cluster is a new strategic issue. Control can be implemented in a hierarchical and task-based manner, which can be roughly divided into centralized control mode, hierarchical control mode, consistent coordination mode, and spontaneous coordination mode. [1] Various forms can be adopted to achieve human control and participation. Generally speaking, the smaller the tactical unit, the more autonomous action and unmanned intervention should be adopted; at the level of organized unit operations, since the control of multiple combat groups is involved, centralized planning and hierarchical control are required, and human participation should be limited; at the higher strategic and operational levels, the cluster is only used as a platform weapon and combat style, which requires unified planning and layout, and the degree of human participation will be higher. From the perspective of mission nature, the operation and use of strategic weapons, such as nuclear counterattacks, requires human operation and is not suitable for autonomous handling by weapon systems. When conducting offensive and defensive operations against important or high-value targets, such as decapitation strikes, full human participation and control are necessary, while simultaneously leveraging the autonomous functions of the weapon systems. For offensive operations against tactical targets, if the mission requires lethal strikes and destruction, limited human participation is permissible, or, after human confirmation, the coordinated group can execute the operation automatically. When performing non-strike missions such as reconnaissance, surveillance, target identification, and clearance, or short-duration missions such as air defense and missile defense where human involvement is difficult, the coordinated group should primarily execute these tasks automatically, without human involvement. Furthermore, countermeasures for swarm operations must be carefully studied. Key research should focus on countermeasures against electronic deception, electromagnetic interference, cyberattacks, and high-power microwave weapons, electromagnetic pulse bombs, and artillery-missile systems, as their effects are relatively significant. Simultaneously, research should be conducted on countermeasures such as laser weapons and swarm-to-swarm tactics, gradually establishing a “firewall” that humans can effectively control against coordinated groups.

Virtual and physical terminals. Virtual and physical terminals mainly refer to various terminals linked to the cloud and network, including sensors with pre-embedded intelligent modules, command and control platforms, weapon platforms, support platforms, related equipment and facilities, and combat personnel. Future equipment and platforms will be cyber-physical systems (CPS) and human-computer interaction systems with diverse front-end functions, cloud-based back-end support, virtual-physical interaction, and online-offline integration. Simple environmental perception, path planning, platform maneuverability, and weapon operation will primarily rely on front-end intelligence such as bionic intelligence and machine intelligence. Complex battlefield target identification, combat mission planning, networked collaborative strikes, combat situation analysis, and advanced human-computer interaction will require information, data, and algorithm support from back-end cloud platforms and cloud-based AI. The front-end intelligence and back-end cloud intelligence of each equipment platform should be combined for unified planning and design, forming a comprehensive advantage of integrated front-end and back-end intelligence. Simultaneously, virtual soldiers, virtual staff officers, virtual commanders, and their intelligent and efficient interaction with humans are also key areas and challenges for future research and development.

Qualitative change in the form of warfare

Since modern times, human society has mainly experienced large-scale mechanized warfare and smaller-scale informationized local wars. The two world wars that occurred in the first half of the 20th century were typical examples of mechanized warfare. The Gulf War, the Kosovo War, the Afghanistan War, the Iraq War, and the Syrian War since the 1990s fully demonstrate the form and characteristics of informationized warfare. In the new century and new stage, with the rapid development and widespread application of intelligent technologies, the era of intelligent warfare, characterized by data and computing, models and algorithms, is about to arrive (see Figure 5).

Wu Mingxi 5

Mechanization is a product of the industrial age, focusing on mechanical power and electrical technology. Its weaponry primarily manifests as tanks, armored vehicles, artillery, aircraft, and ships, corresponding to mechanized warfare. Mechanized warfare is mainly based on classical physics, represented by Newton’s laws, and large-scale socialized production. It is characterized by large-scale, linear, and contact warfare. Tactically, it typically involves on-site reconnaissance, terrain surveys, understanding the opponent’s forward and rear deployments, making decisions based on one’s own capabilities, implementing offensive or defensive maneuvers, and assigning tasks, coordinating operations, and ensuring logistical support. It exhibits clear characteristics such as hierarchical command and control and sequential temporal and spatial operations.

Information technology, a product of the information age, focuses on information technologies such as computers and network communications. Its equipment primarily manifests as radar, radios, satellites, missiles, computers, military software, command and control systems, cyber and electronic warfare systems, and integrated electronic information systems, corresponding to the form of information warfare. Information warfare is mainly based on the three laws of computers and networks (Moore’s Law, Gilder’s Law, and Metcalfe’s Law), emphasizing integrated, precise, and three-dimensional operations. It establishes a seamless and rapid information link from sensor to shooter, seizing information dominance and achieving preemptive detection and strike. Tactically, it requires detailed identification and cataloging of the battlefield and targets, highlighting the role of networked perception and command and control systems, and placing new demands on the interconnectivity and other information functions of platforms. Due to the development of global information systems and diversified network communications, information warfare blurs the lines between front and rear lines, emphasizing horizontal integration of reconnaissance, control, strike, assessment, and support, as well as the integration and flattening of strategy, campaign, and tactics.

Intelligentization is a product of the knowledge economy era. Technologically, it focuses on intelligent technologies such as artificial intelligence, big data, cloud computing, cognitive communication, the Internet of Things, biological cross-disciplinary, hybrid enhancement, swarm intelligence, autonomous navigation and collaboration. In terms of equipment, it mainly manifests as unmanned platforms, intelligent munitions, swarm systems, intelligent sensing and database systems, adaptive mission planning and decision-making systems, combat simulation and parallel training systems, military cloud platforms and service systems, public opinion early warning and guidance systems, and intelligent wearable systems, which correspond to the form of intelligent warfare.

Intelligent warfare, primarily based on biomimetic, brain-like principles, and AI-driven battlefield ecosystems, is a new combat form characterized by “energy mobility and information interconnection,” supported by “network communication and distributed cloud,” centered on “data computing and model algorithms,” and focused on “cognitive confrontation.” It features multi-domain integration, cross-domain offense and defense, unmanned operation, cluster confrontation, and integrated interaction between virtual and physical spaces.

Intelligent warfare aims to meet the needs of nuclear and conventional deterrence, joint operations, all-domain operations, and non-war military operations. It focuses on multi-domain integrated operations encompassing cognitive, informational, physical, social, and biological domains, exhibiting characteristics such as distributed deployment, networked links, flattened structures, modular combinations, adaptive reconfiguration, parallel interaction, focused energy release, and nonlinear effects. Its winning mechanisms overturn traditions, its organizational forms undergo qualitative changes, its operational efficiency is unprecedentedly improved, and its combat power generation mechanisms are transformed. These substantial changes are mainly reflected in the following ten aspects.

The Winning Mechanism Dominated by AI. Under intelligent conditions, new combat elements represented by “AI, cloud, network, cluster, and terminal” will reshape the battlefield ecosystem, completely changing the winning mechanism of war. Among them, AI systems based on models and algorithms are the core combat capability, permeating all aspects and links, playing a multiplicative, transcendent, and proactive role. Platforms are controlled by AI, clusters are guided by AI, and systems are made by AI. The traditional human-based combat methods are being replaced by AI models and algorithms. Algorithmic warfare will play a decisive role in war, and the combat system and process will ultimately be dominated by AI. The right to intelligence will become the core control in future warfare.

Different eras and different forms of warfare result in different battlefield ecosystems, with entirely different compositions of combat elements and winning mechanisms. Mechanized warfare is platform-centric warfare, with “movement” as its core and firepower and mobility as its dominant forces, pursuing energy delivery and release through equipment. Combat elements mainly include: personnel + mechanized equipment + tactics. The winning mechanism is based on human-led decision-making in the operational use of mechanized equipment, achieving victory with superior numbers, overwhelming smaller forces, and controlling slower forces, with comprehensive, efficient, and sustainable mobilization capabilities playing decisive or important roles. Informationized warfare is network-centric warfare, with “connectivity” as its core and information power as its dominant force, pursuing energy aggregation and release through networks. Combat elements and their interrelationships mainly consist of “personnel + informationized equipment + tactics” based on network information. Information permeates personnel, equipment, and tactics, establishing seamless information connections “from sensor to shooter,” achieving system-wide and networked combat capabilities, using systems against localized forces, networks against discrete forces, and speed against slow forces, becoming a crucial mechanism for achieving victory in war. Information plays a multiplier role in equipment and combat systems, but the platform remains human-centric. Information assists in decision-making, but most decisions are still made by humans. Intelligent warfare is cognitive-centric warfare, with “computation” at its core and intelligence as the dominant force. Intelligence will carry more weight than firepower, mobility, and information power, pursuing the use of intelligence to control and dominate capabilities, using the virtual to overcome the real, and achieving victory through superiority. The side with more AI and whose AI is smarter will have greater initiative on the battlefield. The main combat elements and their interrelationships are: AI × (cloud + network + swarm + human + equipment + tactics), which can be simplified to an interconnected and integrated battlefield ecosystem composed of “AI, cloud, network, swarm, and terminal” elements. In the future, AI’s role in warfare will become increasingly significant and powerful, ultimately playing a decisive and dominant role.

Emphasizing the leading role of AI does not deny the role of humans in warfare. On the one hand, human intelligence has been pre-emptively utilized and endowed into AI; on the other hand, at the pre-war, post-war, and strategic levels, for a considerable period of time and in the foreseeable future, AI cannot replace humans.

Modern warfare is becoming increasingly complex, with combat operations moving at ever faster paces. The ability to quickly identify and process massive amounts of information, respond rapidly to battlefield situations, and formulate decisive strategies is far beyond human capability and exceeds the limits of current technology (see Tables 1 and 2). As AI becomes more widely applied and plays a more significant role in warfare, operational processes will be reshaped, and the military kill chain will be accelerated and made more efficient. Rapid perception, decision-making, action, and support will become crucial factors for victory in future intelligent warfare.

Wu Mingxi - Table 1
Wu Mingxi - Table 2

In the future, intelligent recognition and pattern recognition of images, videos, electromagnetic spectrum, and voice will enable rapid and accurate target identification from complex battlefield information gathered by air, land, and sea sensor networks. Utilizing big data technology, through multi-source, multi-dimensional directional search and intelligent correlation analysis, not only can various targets be accurately located, but also human behavior, social activities, military operations, and public opinion trends can be precisely modeled, gradually improving the accuracy of early warning and prediction. Based on precise battlefield information, each theater and battlefield can adaptively implement mission planning, autonomous decision-making, and operational process control through extensive parallel modeling and simulation training in virtual space. AI on various combat platforms and cluster systems can autonomously and collaboratively execute tasks around operational objectives according to mission planning, and proactively adjust to changes that may occur at any time. By establishing a distributed, networked, intelligent, and multi-modal support system and pre-positioned deployment, rapid and precise logistics distribution, material supply, and intelligent maintenance can be implemented. In summary, through the widespread application of intelligent technologies and the proactive and evolving capabilities of various AI systems, the entire operational process—including planning, prediction, perception, decision-making, implementation, control, and support—can be re-engineered to achieve a “simple, fast, efficient, and controllable” operational workflow. This will gradually free humanity from the burdens of arduous combat tasks. Operational workflow re-engineering will accelerate the pace, compress time, and shorten processes on the future battlefield.

The winning mechanism dominated by AI is mainly manifested in combat capabilities, methods, strategies, and measures. It fully integrates human intelligence, approaches human intelligence, surpasses human limits, leverages the advantages of machines, and embodies advancement, disruption, and innovation. This advancement and innovation is not a simple extension or increase in quantity in previous wars, but a qualitative change and leap, a higher-level characteristic. This higher-level characteristic is reflected in intelligent warfare possessing “brain-like” functions and many “capabilities that surpass human limits” that traditional warfare lacks. As AI continues to optimize and iterate, it will one day surpass ordinary soldiers, staff officers, commanders, and even elite and expert groups, becoming a “super brain” and a “super brain group.” This is the core and key of intelligent warfare, a technological revolution in the fields of epistemology and methodology, and a high-level combat capability that humanity can currently foresee, achieve, and evolve.

The role of cyberspace is rising. With the progress of the times and the development of technology, the operational space has gradually expanded from physical space to virtual space. The role and importance of virtual space in the operational system are gradually rising and becoming increasingly important, and it is increasingly deeply integrated with physical space and other fields. Virtual space is an information space based on network electromagnetics constructed by humans. It can reflect human society and the material world from multiple perspectives, and can be utilized by transcending many limitations of the objective world. It is constructed by the information domain, connected by the physical domain, reflected by the social domain, and utilized by the cognitive domain. In a narrow sense, virtual space mainly refers to the civilian Internet; in a broad sense, virtual space mainly refers to cyberspace, including various Internet of Things, military networks, and dedicated networks. Cyberspace is characterized by being easy to attack but difficult to defend, using software to fight hard, integrating peacetime and wartime, and blurring the lines between military and civilian sectors. It has become an important battlefield for conducting military operations, strategic deterrence, and cognitive confrontation.

The importance of cyberspace is mainly reflected in three aspects: First, through network information systems, it connects dispersed combat forces and elements into a whole, forming a systematic and networked combat capability, which becomes the foundation of information warfare; second, it becomes the main battlefield and basic support for cognitive confrontation such as cyberspace, intelligence, public opinion, psychology, and consciousness; and third, it establishes virtual battlefields, conducts combat experiments, realizes virtual-real interaction, and forms the core and key to parallel operations and the ability to use the virtual to defeat the real.

In the future, with the accelerated upgrading of global interconnection and the Internet of Things, and with the establishment, improvement and widespread application of systems such as space-based networked reconnaissance, communication, navigation, mobile internet, Wi-Fi, high-precision global spatiotemporal reference platforms, digital maps, and industry big data, human society and global military activities will become increasingly “transparent,” increasingly networked, perceived, analyzed, correlated, and controlled (see Figure 6). This will have a profound, all-round, and ubiquitous impact on military construction and operations. The combat system in the intelligent era will gradually expand from closed to open, and from military-led to a “source-open and ubiquitous” direction that integrates military and civilian sectors.

Wu Mingxi 6

In the era of intelligentization, information and data from the physical, informational, cognitive, social, and biological fields will gradually flow freely. Combat elements will achieve deep interconnection and the Internet of Things. Various combat systems will evolve from basic “capability combinations” to advanced “information fusion, data linking, and integrated behavioral interaction,” possessing powerful all-domain perception, multi-domain fusion, and cross-domain combat capabilities, and the ability to effectively control important targets, sensitive groups, and critical infrastructure anytime, anywhere. A report from the U.S. Army Joint Arms Center argues that the world is entering an era of “ubiquitous global surveillance.” Even if the world cannot track all activities, the proliferation of technology will undoubtedly cause the potential sources of information to grow exponentially.

Currently, network-based software attacks have acquired the capability to cause physical damage, and cyberattacks by militarily advanced countries possess operational capabilities such as intrusion, deception, interference, and sabotage. Cyberspace has become another important battlefield for military operations and strategic deterrence. The United States has already used cyberattacks in actual combat. Ben Ali of Tunisia, Gaddafi of Libya, and Saddam Hussein of Iraq were all influenced by US cyberattacks and WikiLeaks, causing shifts in public opinion, psychological breakdowns, and social unrest, leading to the rapid collapse of their regimes and having a disruptive impact on traditional warfare. Through the Snowden revelations, a list of 49 cyber reconnaissance projects across 11 categories used by the United States was gradually exposed. Incidents such as the Stuxnet virus’s sabotage of Iranian nuclear facilities, the Gauss virus’s mass intrusion into Middle Eastern countries, and the Cuban Twitter account’s control of public opinion demonstrate that the United States possesses powerful monitoring capabilities, as well as soft and hard attack and psychological warfare capabilities over the internet, closed networks, and mobile wireless networks.

The war began with virtual space experiments. The US military began exploring combat simulation, operational experiments, and simulation training in the 1980s. Later, the US military pioneered the use of virtual reality, wargaming, and digital twin technologies in virtual battlefields and combat experiments. Analysis shows that the US military conducted combat simulations in military operations such as the Gulf War, the Kosovo War, the Afghanistan War, and the Iraq War, striving to find the optimal operational and action plans. It has been reported that before Russia intervened militarily in Syria, it conducted pre-war exercises in its war labs. Based on the experimental simulations, it formulated the “Center-2015” strategic exercise plan, practicing “mobility and accessibility in unfamiliar areas” for combat in Syria. After the exercise, Russian Chief of the General Staff Gerasimov emphasized that the primary means would be political, economic, and psychological warfare, supplemented by long-range precision air strikes and special operations, ultimately achieving political and strategic objectives. Practice shows that the process of Russia’s intervention in Syria was largely consistent with these experiments and exercises.

In the future, with the application and development of virtual simulation, mixed reality, big data, and intelligent software, a parallel military artificial system can be established, allowing physical forces in the physical space to map and iterate with virtual forces in the virtual space. This will enable rapid, high-intensity adversarial training and supercomputing that are difficult to achieve in the physical space. It can also engage in combat and games against highly realistic “blue force systems,” continuously accumulating data, building models and algorithms, and ultimately using the optimal solutions to guide the construction and combat of physical forces, achieving the goal of virtual-real interaction, using the virtual to control the real, and winning with the virtual. On January 25, 2019, DeepMind, Google’s AI team, and Blizzard Entertainment, the developer of StarCraft, announced the results of the December 2018 match between AlphaSTAR and professional players TLO and MANA. In the best-of-five series, AlphaSTAR won both matches 5-0. AlphaSTAR completed the training workload that would take human players 200 years in just two weeks, demonstrating the enormous advantages and bright prospects of simulated adversarial training in virtual space.

The combat style is dominated by unmanned operations. In the era of intelligentization, unmanned warfare will become the basic form, and the integration and development of artificial intelligence and related technologies will gradually push this form to an advanced stage. Unmanned systems represent the full pre-positioning of human intelligence in the combat system and are a concentrated manifestation of the integrated development of intelligence, informatization, and mechanization. Unmanned equipment first appeared in the field of drones. In 1917, Britain built the world’s first drone, but it was not used in actual combat. With the development of technology, drones were gradually used in target drones, reconnaissance, and reconnaissance-strike integrated operations. Since the beginning of the 21st century, unmanned technologies and equipment have achieved tremendous leaps and major breakthroughs in exploration and application due to their advantages such as mission-centric design, no need to consider crew requirements, and high cost-effectiveness. They have shown a rapid and comprehensive development trend, and their application scope has expanded rapidly, covering various fields such as air, surface, underwater, ground, and space.

In recent years, technologies such as artificial intelligence, bionic intelligence, human-machine integrated intelligence, and swarm intelligence have developed rapidly. With the help of satellite communication and navigation, and autonomous navigation, unmanned combat platforms can effectively achieve remote control, formation flight, and swarm collaboration. Currently, unmanned combat aerial vehicles, underwater unmanned platforms, and space-based unmanned autonomous robots have emerged one after another. Bipedal, quadrupedal, multi-legged, and cloud-based intelligent robots are developing rapidly and have entered the fast lane of engineering and practical application, with military applications not far off.

Overall, unmanned warfare in the era of intelligentization will enter three stages of development. The first stage is the initial stage, characterized by manned dominance and unmanned support, where “unmanned warfare under manned leadership” means that combat behavior is completely controlled and dominated by humans before, during, and after the operation. The second stage is the intermediate stage, characterized by manned support and unmanned dominance, where “unmanned warfare under limited control” means that human control is limited, auxiliary, but crucial throughout the entire combat process, and in most cases, the autonomous action capabilities of the platform can be relied upon. The third stage is the advanced stage, characterized by manned rules and unmanned action, where “unmanned warfare with manned design and minimal control” means that humans conduct overall design in advance, clarifying autonomous behavior and rules of the game under various combat environments, and the execution phase is mainly entrusted to unmanned platforms and unmanned forces for autonomous execution.

Autonomous behavior or autonomy is the essence of unmanned warfare and a common and prominent feature of intelligent warfare, manifested in many aspects.

First, the autonomy of combat platforms, mainly including the autonomous capabilities and intelligence level of unmanned aerial vehicles, ground unmanned platforms, precision-guided weapons, underwater and space robots.

Second, the detection system is autonomous, which mainly includes automatic search, tracking, association, aiming, and intelligent recognition of information such as images, voice, video, and electronic signals.

Thirdly, there is autonomous decision-making, the core of which is AI-based autonomous decision-making within the combat system. This mainly includes automatic analysis of the battlefield situation, automatic planning of combat missions, automated command and control, and intelligent human-machine interaction.

Fourthly, autonomous coordination in combat operations, which initially includes autonomous coordination between manned and unmanned systems, and later includes autonomous unmanned swarms, such as various combat formations, bee swarms, ant swarms, fish swarms, and other combat behaviors.

Fifth, autonomous network attack and defense behaviors, including automatic identification, automatic tracing, automatic protection, and autonomous counterattack against various viruses and network attacks.

Sixth, cognitive electronic warfare, which automatically identifies the power, frequency band, and direction of electronic interference, automatically hops frequencies and autonomously forms networks, and engages in active and automatic electronic interference against adversaries.

Seventh, other autonomous behaviors, including intelligent diagnosis, automatic repair, and self-protection.

In the future, with the continuous upgrading of the integration and development of artificial intelligence and related technologies, unmanned operations will rapidly develop towards autonomy, biomimicry, swarming, and distributed collaboration, gradually pushing unmanned warfare to an advanced stage and significantly reducing direct confrontation between human forces on the battlefield. Although manned platforms will continue to exist in the future, biomimetic robots, humanoid robots, swarm weapons, robot armies, and unmanned system warfare will become the norm in the intelligent era. Since unmanned systems can replace human beings in many combat domains and can accomplish tasks autonomously, unmanned combat systems will always be there to protect humans before they suffer physical attacks or injuries. Therefore, unmanned combat systems in the intelligent era are humanity’s main protective barrier, its shield and shield.

All-domain operations and cross-domain offense and defense. In the era of intelligent warfare, all-domain operations and cross-domain offense and defense are also a fundamental style of combat, manifested in many combat scenarios and aspects. From land, sea, air, and space to multiple domains including physical, information, cognitive, social, and biological domains, as well as the integration and interaction of virtual and physical elements, from peacetime strategic deterrence to wartime high-confrontation, high-dynamic, and high-response operations, the time and space span is enormous. It involves not only physical space operations and cyberspace cyber offense and defense, information warfare, public opinion guidance, and psychological warfare, but also tasks such as global security governance, regional security cooperation, counter-terrorism, and rescue, and the control of critical infrastructure such as networks, communications, power, transportation, finance, and logistics.

Since 2010, supported by advancements in information and intelligent technologies, the U.S. military has proposed concepts such as operational cloud, distributed lethality, multi-domain warfare, algorithmic warfare, mosaic warfare, and joint all-domain operations. The aim is to maintain battlefield and military superiority by using system-wide systems against localized ones, multi-functional systems against simpler ones, multi-domain systems against single-domain ones, integrated systems against discrete ones, and intelligent systems against non-intelligent ones. The U.S. military proposed the concept of multi-domain warfare in 2016 and joint all-domain operations in 2020, aiming to develop cross-service and cross-domain joint operational capabilities, ensuring that each service’s operations are supported by all three services, and possessing all-domain capabilities against multi-domain and single-domain ones.

In the future, with breakthroughs in key technologies for the cross-disciplinary integration of artificial intelligence and multidisciplinary collaboration, multi-domain integration and cross-domain offense and defense based on AI and human-machine hybrid intelligence will become a distinctive feature of intelligent warfare. This will be achieved across functional domains such as physics, information, cognition, society, and biology, as well as geographical domains such as land, sea, air, and space.

In the intelligent era, multi-domain and cross-domain operations will expand from mission planning, physical collaboration, and loose coordination to heterogeneous integration, data linking, tactical interoperability, and cross-domain offensive and defensive integration.

First, multi-domain integration. Based on different battlefields and adversaries in a multi-domain environment, different combat styles, combat procedures and missions are planned in accordance with the requirements of joint operations, and unified as much as possible. This achieves the overall planning and integration of information, firepower, defense, support and command and control, and the integration of combat capabilities at the strategic, operational and tactical levels, forming the capability of one-domain operations and multi-domain joint rapid support.

Second, cross-domain offense and defense. Supported by a unified network information system, and through a unified battlefield situation and data information exchange based on unified standards, the information links for cross-domain joint operations reconnaissance, control, strike, and assessment are completely opened up, enabling seamless integration of operational elements and capabilities at the tactical and fire control levels, as well as collaborative actions between services, cross-domain command and interoperability.

Third, the entire process is interconnected. Multi-domain integration and cross-domain offense and defense are treated as a whole, with coordinated design and interconnectedness throughout. Before the war, intelligence gathering and analysis are conducted, along with public opinion warfare, psychological warfare, propaganda warfare, and necessary cyber and electronic warfare attacks. During the war, special operations and cross-domain actions are used to carry out decapitation strikes, key point raids, and precise and controllable strikes (see Figure 7). After the war, defense against cyberattacks on information systems, elimination of negative public opinion’s impact on the public, and prevention of enemy damage to infrastructure are addressed through post-war governance, public opinion control, and the restoration of social order across multiple areas.

Wu Mingxi 7

Fourth, AI support. Through combat experiments, simulation training, and necessary test verification and real-world testing, we continuously accumulate data, optimize models, and establish AI combat models and algorithms for different combat styles and adversaries, forming an intelligent brain system to better support joint operations, multi-domain operations, and cross-domain offense and defense.

Human-AI hybrid decision-making. The continuous improvement, optimization, upgrading, and perfection of the AI ​​brain system in intelligent battlefields will enable it to surpass humans in many aspects. The human-dominated command, control, and decision-making model of human warfare for thousands of years will be completely transformed. Humans commanding AI, AI commanding humans, and AI commanding AI are all possible scenarios in warfare.

Distributed, networked, flattened, and parallel structures are key characteristics of intelligent combat systems. The centralized, human-centric single-decision-making model is gradually being replaced by decentralized or weakly centralized models based on AI, such as unmanned systems, autonomous swarms, and manned-unmanned collaboration. Hybrid compatibility among these models is becoming a development trend. The lower the operational level and the simpler the mission, the more prominent the role of unmanned and decentralized systems; the higher the level and the more complex the mission, the more important human decision-making and centralized systems become. Pre-war decision-making is primarily human, supplemented by AI; during war, AI is primarily AI, supplemented by human; post-war, both are used, with hybrid decision-making becoming the dominant approach (see Table 3).

Wu Mingxi - Table 3

In the future battlefield, combat situations will be highly complex, rapidly changing, and exceptionally intense. The convergence of various information sources will generate massive amounts of data, which cannot be processed quickly and accurately by the human brain alone. Only by achieving a collaborative operation mode of “human brain + AI,” based on technologies such as combat cloud, databases, network communication, and the Internet of Things, can “commanders” cope with the ever-changing battlefield and complete command and control tasks. With the increasing autonomy of unmanned systems and the enhancement of swarm and system-wide AI functions, autonomous decision-making is gradually emerging. Once command and control achieve different levels of intelligence, the Out-of-Loop (OODA) loop time will be significantly reduced, and efficiency will be significantly improved. In particular, pattern recognition for network sensor image processing, “optimization” algorithms for combat decision-making, and particle swarm optimization and bee swarm optimization algorithms for autonomous swarms will endow command and control systems with more advanced and comprehensive decision-making capabilities, gradually realizing a combat cycle where “humans are outside the loop.”

Nonlinear amplification and rapid convergence. Future intelligent warfare will no longer be a gradual release of energy and a linear superposition of combat effects, but rather a rapid amplification of multiple effects such as nonlinearity, emergence, self-growth, and self-focusing, and a rapid convergence of results.

Emergence primarily refers to the process by which each individual within a complex system, following local rules and continuously interacting, generates a qualitative change in the overall system through self-organization. In the future, while battlefield information will be complex and ever-changing, intelligent recognition of images, voice, and video, along with processing by military cloud systems, will enable “one-point collection, multi-user sharing.” Through big data technology, it will be rapidly linked with relevant information and integrated with various weapon fire control systems to implement distributed strikes, swarm strikes, and cyber psychological warfare. This will allow for “detection and destruction,” “aggressive attacks at the first sign of trouble,” and “numerical superiority generating psychological panic”—these phenomena constitute the emergence effect.

The emergent effects of intelligent warfare are mainly reflected in three aspects: first, the acceleration of the kill chain caused by the speed of AI decision-making chain; second, the combat effect caused by the numerical advantage of manned and unmanned collaborative systems, especially swarm systems; and third, the rapid swarm emergence behavior based on network interconnection.

As military intelligence develops to a certain stage, the combined effects of advanced AI, quantum computing, IPv6, and hypersonic technologies will result in combat systems exhibiting nonlinear, asymmetric, self-growing, rapid-response, and uncontrollable amplification and operational effects. This is particularly evident in unmanned, swarm, cyber warfare, and cognitive confrontation. The emergence of intelligence from collective ignorance, increased efficiency through sheer numbers, nonlinear amplification, and other emergent effects will become increasingly prominent. AI-driven cognitive, informational, and energy confrontations will intertwine and rapidly converge around a target, with time becoming increasingly compressed and the speed of confrontation accelerating. This will manifest as a dramatic amplification of multiple effects and a rapid convergence of outcomes. Energy shockwaves, rapid-fire combat, AI terminators, public opinion reversals, social unrest, psychological breakdowns, and the chain reaction of the Internet of Things will become prominent characteristics of intelligent warfare.

In unmanned swarm attacks, assuming roughly the same platform performance, the Lanchester equation applies: combat effectiveness is proportional to the square of the number of units; quantity advantage translates to quality advantage. Network attack and defense, and psychological and public opinion effects, follow Metcalfe’s Law, being proportional to the square of the number of interconnected users, with nonlinear and emergent effects becoming more pronounced. The quantity and intelligence of battlefield AI determine the overall level of intelligence in the combat system, impacting battlefield intelligence control and influencing the outcome of war. In the era of intelligent warfare, how to manage the interrelationships between energy, information, cognition, quantity, quality, virtuality, and physicality, and how to skillfully design, control, utilize, and evaluate nonlinear effects, are major new challenges and requirements for future warfare.

In the future, whether it is a reversal of public opinion, psychological panic, swarm attacks, mass operations, or autonomous combat by humans outside the ring, their emergence effects and strike effects will become relatively common phenomena and easy-to-implement actions, forming a capability that is compatible with deterrence and actual combat. It is also a form of warfare that human society must strictly manage and control.

An organically symbiotic relationship between humans and equipment. In the era of intelligence, the relationship between humans and weapons will undergo fundamental changes, becoming increasingly distant physically but increasingly closer in thought. The form of equipment and its development and management models will be completely transformed. Human thought and wisdom will be deeply integrated with weaponry through AI, fully integrated in the early stages of equipment development, optimized and iterated during the use and training phase, and further upgraded and improved after combat verification, in a continuous cycle of progress.

First, with the rapid development of technologies such as network communication, mobile internet, cloud computing, big data, machine learning, and bionics, and their widespread application in the military field, the structure and form of traditional weapons and equipment will be completely changed, exhibiting diverse functions such as front-end and back-end division of labor and cooperation, efficient interaction, and adaptive adjustment. They will be complex entities integrating mechanics, information, networks, data, and cognition.

Secondly, while humans and weapons are gradually becoming physically detached, they are also becoming increasingly integrated into an organic symbiotic entity in terms of mindset. The gradual maturation of drones and robots is shifting their focus from assisting humans in combat to replacing them, with humans taking a more backseat. The integration of humans and weapons will take on entirely new forms. Human thought and wisdom will participate in the entire lifecycle of design, research and development, production, training, use, and support. Unmanned combat systems will perfectly combine human creativity and intellect with the precision, speed, reliability, and fatigue resistance of machines.

Third, profound changes are taking place in equipment development and management models. Mechanized equipment becomes increasingly outdated with use, while information technology software becomes increasingly new, and intelligent algorithms become increasingly sophisticated with use. Traditional mechanized equipment is delivered to the troops using a “pre-research—development—finalization” model, resulting in a decline in combat performance over time and vehicle hours. Information technology equipment is a product of the combined development of mechanization and informatization; the platform remains the same, but the information system is constantly iterated and updated with the development of computer CPUs and storage devices, exhibiting a step-by-step development characteristic of “information-led, software-driven hardware, rapid replacement, and spiral ascent.” Intelligent equipment, based on mechanization and informatization, continuously optimizes and improves training models and algorithms with the accumulation of data and experience, showing an upward curve of becoming stronger and better with use over time and frequency. Therefore, the development, construction, use, training, and support models for intelligent equipment will undergo fundamental changes.

Evolving through learning and confrontation. Evolution will undoubtedly be a defining characteristic of future intelligent warfare and combat systems, and a commanding height in future strategic competition. Combat systems in the intelligent era will gradually acquire adaptive, self-learning, self-confrontational, self-repairing, and self-evolving capabilities, becoming an evolvable ecosystem and game-theoretic system.

The most distinctive and unique feature of intelligent combat systems lies in the combination of human-like and human-like intelligence with the advantages of machines, achieving “superhuman” combat capabilities. The core of this capability is that numerous models and algorithms improve and refine with use, possessing an evolutionary function. If future combat systems resemble the human body, with the brain as the command and control center, the nervous system as the network, and the limbs as weapons and equipment controlled by the brain, like a living organism, possessing self-adaptive, self-learning, self-defense, self-repair, and self-evolutionary capabilities, then we believe it possesses the ability and function of evolution. Because intelligent combat systems are not entirely the same as living organisms, while a single intelligent system is similar to a living organism, a multi-system combat system is more like an “ecosystem + adversarial game system,” more complex than a single living organism, and more adversarial, social, collective, and emergent.

Preliminary analysis suggests that with the development and application of technologies such as combat simulation, virtual reality, digital twins, parallel training, intelligent software, brain-inspired chips, brain-like systems, bionic systems, natural energy harvesting, and novel machine learning, future combat systems can gradually evolve from single-function, partial-system evolution to multi-functional, multi-element, multi-domain, and multi-system evolution. Each system will be able to rapidly formulate response strategies and take action based on changes in the battlefield environment, different threats, different adversaries, and its own strengths and capabilities, drawing upon accumulated experience, extensive simulated adversarial training, and models and algorithms built through reinforcement learning. These strategies will then be continuously revised, optimized, and self-improved through practical warfare. Single-mission systems will possess characteristics and functions similar to living organisms, while multi-mission systems, like species in a forest, will have a cyclical function and evolutionary mechanism of mutual restraint and survival of the fittest, possessing the ability to engage in game-theoretic confrontation and competition under complex environmental conditions, forming an evolvable ecological and game-theoretic system.

The evolution of combat systems mainly manifests in four aspects: First, the evolution of AI. With the accumulation of data and experience, it will inevitably be continuously optimized, upgraded, and improved. This is relatively easy to understand. Second, the evolution of combat platforms and cluster systems, mainly moving from manned control to semi-autonomous and autonomous control. Because it involves not only the evolution of platform and cluster control AI, but also the optimization and improvement of related mechanical and information systems, it is relatively more complex. Third, the evolution of mission systems, such as detection systems, strike systems, defense systems, and support systems. Because it involves multiple platforms and multiple missions, the factors and elements involved in the evolution are much more complex, and some may evolve quickly, while others may evolve slowly. Fourth, the evolution of the combat system itself. Because it involves all elements, multiple missions, cross-domain operations, and confrontations at various levels, its evolutionary process is extremely complex. Whether a combat system can evolve cannot rely entirely on its own growth; it requires the proactive design of certain environments and conditions, and must follow the principles of biomimicry, survival of the fittest, mutual restraint, and full-system lifecycle management to possess the function and capability for continuous evolution.

Intelligent design and manufacturing. In the era of intelligentization, the defense industry will shift from a relatively closed, physical-based, and time-consuming research and manufacturing model to an open-source, intelligent design and manufacturing model that can rapidly meet military needs.

The defense industry is a strategic industry of the nation, a powerful pillar of national security and defense construction. In peacetime, it primarily provides the military with advanced, high-quality, and reasonably priced weaponry and equipment. In wartime, it is a crucial force for operational support and a core pillar for ensuring victory. The defense industry is a high-tech intensive sector. The research and development and manufacturing of modern weaponry and equipment are technology-intensive, knowledge-intensive, systemically complex, and highly integrated. The development of weapons and equipment such as large aircraft carriers, fighter jets, ballistic missiles, satellite systems, and main battle tanks typically takes ten, twenty, or even more years before finalization and delivery to the armed forces, involving large investments, long cycles, and high costs. From the post-World War II period to the end of the last century, the defense industrial system and capability structure were products of the mechanized era and warfare. Its research, testing, manufacturing, and support were primarily geared towards the needs of the military branches and industry systems, mainly including weaponry, shipbuilding, aviation, aerospace, nuclear, and electronics industries, as well as civilian supporting and basic industries. After the Cold War, the US defense industry underwent strategic adjustments and mergers and reorganizations, generally forming a defense industrial structure and layout adapted to the requirements of informationized warfare. The top six defense contractors in the United States can provide specialized combat platforms and systems for relevant branches of the armed forces, as well as overall solutions for joint operations, making them cross-service and cross-domain system integrators. Since the beginning of the 21st century, with the changing demands of system-of-systems and information-based warfare and the development of digital, networked, and intelligent manufacturing technologies, the traditional development model and research and production capabilities of weapons and equipment have begun to gradually change, urgently requiring reshaping and adjustment in accordance with the requirements of informationized warfare, especially intelligent warfare.

In the future, the defense science and technology industry will, in accordance with the requirements of joint operations, all-domain operations, and the integrated development of mechanization, informatization, and intelligence, shift from the traditional focus on service branches and platform construction to cross-service and cross-domain system integration. It will also shift from relatively closed, self-contained, independent, fragmented, physical-based, and long-cycle research, design, and manufacturing to open-source, democratic crowdsourcing, virtual design and integration verification, adaptive manufacturing, and rapid fulfillment of military needs (see Figure 8). This will gradually form a new innovation system and intelligent manufacturing system that combines hardware and software, virtual and real interaction, intelligent human-machine-object-environment interaction, effective vertical industrial chain connection, horizontal distributed collaboration, and military-civilian integration. Joint design and demonstration by multiple military and civilian parties, joint research and development by supply and demand sides for construction and use, iterative optimization based on parallel military systems in both virtual and real environments, and improvement through combat training and real-world verification—a model of simultaneous research, testing, use, and construction—is the basic mode for the development and construction of intelligent combat systems and the generation of combat power.

Wu Mingxi 8

Wu Mingxi 8

The risk of spiraling out of control. Since intelligent warfare systems theoretically possess the ability to self-evolve and reach “superhuman” levels, if humans do not pre-design control programs, control nodes, and a “stop button,” the result could very well be destruction and disaster. A critical concern is that numerous hackers and malicious warmongers may exploit intelligent technology to design uncontrollable warfare programs and combat methods, allowing numerous machine brains (AIs) and swarms of robots to fight adaptively and self-evolving according to pre-set combat rules, becoming invincible and relentlessly advancing, ultimately leading to an uncontrollable situation and irreparable damage. This is a major challenge facing humanity in the process of intelligent warfare and a crucial issue requiring research and resolution. This problem needs to be recognized and prioritized from the perspective of a shared future for all humanity and the sustainable development of human civilization. It requires designing rules of war, formulating international conventions, and regulating these systems technically, procedurally, ethically, and legally, implementing mandatory constraints, checks, and management.

The above ten transformations and leaps constitute the main content of the new form of intelligent warfare. Of course, the development and maturity of intelligent warfare is not a castle in the air or a tree without roots, but is built upon mechanization and informatization. Without mechanization and informatization, there is no intelligence. Mechanization, informatization, and intelligence form an organic whole, interconnected and mutually reinforcing, iteratively optimizing and leapfrog developing. Currently, mechanization is the foundation, informatization is the guiding principle, and intelligence is the direction. Looking to the future, mechanization will remain the foundation, informatization will provide support, and intelligence will be the guiding principle.

A Bright Future

In the time tunnel of the new century, we see the train of intelligent warfare speeding along. Will humanity’s greed and technological might lead us into a more brutal darkness, or will it propel us towards a more civilized and enlightened future? This is a major philosophical question that humanity needs to ponder. Intelligentization is the future, but it is not everything. Intelligentization can handle diverse military tasks, but it is not omnipotent. Faced with sharp contradictions between civilizations, religions, nations, and social classes, and with extreme events such as thugs wielding knives, suicide bombings, and mass riots, the role of intelligentization remains limited. Without resolving global political imbalances, unequal rights, unfair trade, and social contradictions, war and conflict will be inevitable. Ultimately, the world is determined by strength, and technological, economic, and military strength are extremely important. While military strength cannot determine politics, it can influence it; it cannot determine the economy, but it can bring security for economic development. The stronger the intelligent warfare capabilities, the stronger its deterrent and war-preventing function, and the greater the hope for peace. Like nuclear deterrence, it plays a crucial role in preventing large-scale wars to avoid terrible consequences and uncontrolled disasters.

The level of intelligence in warfare, in a sense, reflects the progress of civilization in warfare. The history of human warfare, initially a struggle between groups for food and habitation, has evolved into land occupation, resource plunder, expansion of political power, and domination of the spiritual world—all fraught with bloodshed, violence, and repression. As the ultimate solution to irreconcilable contradictions in human society, war’s ideal goal is civilization: subjugation without fighting, minimal resource input, minimal casualties, and minimal damage to society… However, past wars have often failed to achieve this due to political struggles, ethnic conflicts, competition for economic interests, and the brutality of technological destructive methods, frequently resulting in the utter destruction of nations, cities, and homes. Past wars have failed to achieve these ideals, but future intelligent warfare, due to technological breakthroughs, increased transparency, and deeper mutual sharing of economic benefits, especially as the confrontation of human forces gradually gives way to confrontation between robots and AI, will see decreasing casualties, material consumption, and collateral damage. This presents a significant possibility of achieving civilization, offering humanity hope. We envision future warfare gradually transitioning from the mutual slaughter of human societies and the immense destruction of the material world to wars between unmanned systems and robots. This will evolve into deterrence and checks and balances limited to combat capabilities and overall strength, AI confrontations in the virtual world, and highly realistic war games… The energy expenditure of human warfare will be limited to a certain scale of unmanned systems, simulated confrontations and experiments, or even merely the energy needed to wage a war game. Humanity will transform from the planners, designers, participants, leaders, and victims of war into rational thinkers, organizers, controllers, observers, and adjudicators. Human bodies will no longer suffer trauma, minds will no longer be frightened, wealth will no longer be destroyed, and homes will no longer be devastated. Although this beautiful ideal and aspiration may always fall short of harsh reality, we sincerely hope that this day will arrive, and arrive as soon as possible. This is the highest stage of intelligent warfare development, the author’s greatest wish, and humanity’s beautiful vision!

(Thanks to my colleague, Researcher Zhou Xumang, for his support and assistance in writing this paper. He has unique thoughts and insights into the development and construction of intelligent systems.)

Notes

[1] Robert O. Walker et al., 20YY: War in the Age of Robots, translated by Zou Hui et al., Beijing: National Defense Industry Press, 2016, p. 148.

The Era of Intelligent War Is Coming Rapidly

Wu Mingxi

Abstract: Since the entry into the new century, the rapid development of intelligent technology with artificial intelligence (AI) at the core has accelerated the process of a new round of military revolution. The competition in the military field is going rapidly to the era of intelligent power. The operational elements represented by “AI, cloud, network, group and end” and their diverse combinations constitute a new battlefield ecosystem, and the winning mechanism of war has changed completely. multiplier, transcendence and active role. The platform has AI control, the cluster has AI guidance, and the system has AI decision-making. The traditional human-based combat method is replaced by AI models and algorithms, and intelligent dominance becomes the core of future war. The stronger the intelligent combat capability, the more hopeful the soldiers may win the war without firing a shot.

現代國語:

2021-08-18 18:53 来源: 《人民论坛·学术前沿》5月下 作者: 吴明曦

【摘要】新世纪以来,以人工智能(AI)为核心的智能科技快速发展,加快了新一轮军事革命的进程,军事领域的竞争正加速走向智权时代。以“AI、云、网、群、端”为代表的作战要素与多样化组合,构成了新的战场生态系统,战争的制胜机理完全改变。基于模型和算法的AI系统将是核心作战能力,贯穿各个方面、各个环节,起到倍增、超越和能动的作用,平台有AI控制,集群有AI引导,体系有AI决策,传统以人为主的战法运用被AI的模型和算法所替代,制智权成为未来战争的核心制权。智能化作战能力越强大,不战而屈人之兵就越有希望。

【关键词】人工智能 无人化 战场生态 战争形态

【中图分类号】TP18 【文献标识码】A

【DOI】10.16619/j.cnki.rmltxsqy.2021.10.005

【作者简介】吴明曦,中国兵器首席科学家、研究员,中国兵器工业集团科技委副秘书长,中国兵器科学研究院科技委副主任。研究方向为国防科技和武器装备发展战略与规划、政策与理论、管理与改革研究。主要著作有《智能化战争——AI军事畅想》等。

智权时代竞争

人类文明的历史,是认识自然、改造自然的历史,也是认识自我、解放自我的历史。人类通过发展科学技术、开发和运用工具,不断增强能力、减轻负担、摆脱束缚、解放自己。战争的控制权也随着科技的进步、人类活动空间的拓展、时代的发展而不断变化、不断丰富和不断演进。19世纪以来,人类先后经历了陆权、海权、空权、天权、信息权的控制与争夺。随着人工智能(AI)、大数据、云计算、生物交叉、无人系统、平行仿真等智能科技的迅速发展及其与传统技术的深度融合,从认识论、方法论和运行机理上,改变了人类认识和改造自然的能力,正在加快推动机器智能、仿生智能、群体智能、人机融合智能和智能感知、智能决策、智能行动、智能保障以及智能设计、研发、试验、制造等群体性重大技术变革,加速战争形态向智权的控制与争夺演变。

智能科技迅速发展,受到世界主要国家的高度重视,成为支撑军事能力跨越发展的强大动力。美俄已将智能科技置于维持其全球军事大国战略地位的核心,其发展理念、发展模式、组织方式、创新应用等已发生重大转变,并开展了军事智能化的实质性应用与实践(见图1)。

吴明曦1

2017年8月,美国国防部表示,未来人工智能战争不可避免,美国需要“立即采取行动”加速人工智能战争科技的开发工作。美军提出的“第三次抵消战略”认为,以智能化军队、自主化装备和无人化战争为标志的军事变革风暴正在到来;为此,他们已将自主系统、大数据分析、自动化等为代表的智能科技列为主要发展方向。2018年6月,美国国防部宣布成立联合人工智能中心,该中心在国家人工智能发展战略的牵引下,统筹规划美军智能化军事体系建设。2019年2月,时任美国总统特朗普签署《美国人工智能倡议》行政令,强调美国在人工智能领域保持持续领导地位对于维护美国的经济和国家安全至关重要,要求联邦政府投入所有资源来推动美国人工智能领域创新。2021年3月,美国人工智能国家安全委员会发布研究报告,指出:“自第二次世界大战以来,作为美国经济和军事力量支柱的技术优势首次受到威胁。如果当前的趋势不改变,中国就拥有未来十年内超越美国成为人工智能全球领导者的力量、人才和雄心。”报告认为,美国为维护国家安全和提升国防能力,必须迅速而负责任地使用人工智能,为抵御这些威胁作好准备。报告得出结论,人工智能将改变世界,美国必须发挥带头作用。

俄罗斯也高度重视人工智能的技术发展及其军事运用。俄军方普遍认为,人工智能将引发继火药、核武器之后军事领域的第三次革命。俄罗斯总统普京2017年9月公开提出,人工智能是俄罗斯的未来,谁能成为该领域的领导者,谁就将主宰世界。2019年10月,普京批准《2030年前俄罗斯国家人工智能发展战略》,旨在加快推进俄罗斯人工智能发展与应用,谋求在人工智能领域的世界领先地位。

中国国务院2017年7月印发《新一代人工智能发展规划》,提出了面向2030年新一代人工智能发展的指导思想、战略目标、重点任务和保障措施,部署构筑人工智能发展的先发优势,加快建设创新型国家和世界科技强国。

世界其他主要国家和军事大国,也纷纷推出各自的人工智能发展规划,表明全球范围内围绕“智权”的争夺已经全面展开。陆权、海权、空权、天权、信息权、智权等,都是科技进步的结果、时代的产物,都有各自的优势,也有各自的不足,并且有些理论随着时代的变化,又在不断拓展。从近代以来战争的控制权发展趋势可以看出,信息权与智权是涉及全局的,其权重更重,影响力更大。未来,随着智能化发展步伐的加快,智权将成为一种快速增长的、对作战全局有更大战略影响力的新型战场控制权。

军事智能的本质是利用智能科技为战争体系建立多样化识别、决策和控制模型。这些模型就是人工智能(AI),是新时代智权争夺的核心。其中,战争体系包括:单装、集群、有人无人协同、多域与跨域作战等装备系统;单兵、班组、分队、合成作战单元、战区联指等作战力量;网络化感知、任务规划与指控、力量协同、综合保障等作战环节;网络攻防、电子对抗、舆情控制、基础设施管控等专业系统;智能化设计、研发、生产、动员、保障等军工能力。AI以芯片、算法和软件等形式,嵌入战争体系的各个系统、各个层次、各个环节,是一个体系化的大脑。AI虽然是战争体系的一个局部,但由于其“类脑”功能和“超越人类极限”的能力越来越强,必将主宰未来战争全局。

战场生态重构

传统战争作战要素相对独立、相对分离,战场生态系统比较简单,主要包括人、装备和战法等。智能时代的战争,各作战要素之间融合、关联、交互特征明显,战场生态系统将发生实质性变化,形成由AI脑体系、分布式云、通信网络、协同群、各类虚实端等构成的作战体系、集群系统和人机系统,简称“AI、云、网、群、端”智能化生态系统(见图2)。其中,AI居于主导地位。

吴明曦2

AI脑体系。智能化战场的AI脑体系,是一个网络化、分布式的体系,是与作战平台和作战任务相生相伴、如影随形的,其分类方法有多种。按功能和计算能力分,主要包括小脑、群脑、中脑、混合脑和大脑等;按作战任务和环节分,主要包括传感器AI、作战任务规划和决策AI、精确打击和可控毁伤AI、网络攻防AI、电子对抗AI、智能防御AI和综合保障AI等;按形态分,主要包括嵌入式AI、云端AI和平行系统AI等。

小脑,主要指传感器平台、作战平台和保障平台的嵌入式AI,主要执行战场环境探测、目标识别、快速机动、精确打击、可控毁伤、装备保障、维修保障和后勤保障等任务。

群脑,主要指地面、空中、海上、水中和太空无人化集群平台智能控制的AI,主要执行战场环境协同感知、集群机动、集群打击和集群防御等任务,重点包括同构集群系统的算法和有人无人协同等异构系统的算法。

中脑,主要指战场前沿一线分队指挥中心、数据中心、指挥所边缘计算的AI系统,主要执行在线和离线条件下战术分队作战任务动态规划、自主决策与辅助决策。

混合脑,主要指成建制部队作战中,指挥员与机器AI协同指挥和混合决策系统,战前主要执行以人为主的作战任务规划,战中主要执行以机器AI为主的自适应动态任务规划和调整,战后主要执行面向反恐和防卫的混合决策等任务。

大脑,主要指战区指挥中心、数据中心的模型库、算法库、战法库,重点为战役和战略决策起辅助支撑作用。由于数据充足,战场各类AI脑系统,都可以在此进行训练和建模,待成熟时再加载到各个任务系统中。

未来战场,还将有其他不同功能、不同种类、大大小小的AI,如传感器AI,主要包括图像识别、电磁频谱识别、声音识别、语音识别、人类活动行为识别等。随着智能化的快速发展和广泛应用,全社会都会存在大大小小的AI,平时为民众和社会服务,战时完全有可能为军事服务。

分布式云。军事云与民用云有所不同。一般来讲,军事云平台是利用通信网络搜索、采集、汇总、分析、计算、存储、分发作战信息和数据的分布式资源管理系统。军事云平台通过构建分布式系统、多点容错备份机制,具备强大的情报共享能力、数据处理能力、抗打击和自修复能力,可提供固定与机动、公有与私有的云服务,实现“一点采集,大家共享”,大大减少信息流转环节,使指挥流程扁平、快速,避免各级重复分散建设。

从未来智能化战争需求看,军事云至少需要构建战术前端云、部队云、战区云和战略云四级体系。按作战要素也可分为情报云、态势云、火力云、信息作战云、保障云、星云等专业化云系统。

1.前端云,主要是指分队、班组、平台之间的信息感知、目标识别、战场环境分析和行动自主决策与辅助决策,以及作战过程和效果评估等计算服务。前端云的作用主要体现在两个方面。一是平台之间计算、存储资源的相互共享和协同、智能作战信息的互动融合。例如,一旦某一平台或终端被攻击,相关的感知信息、毁伤状况和历史情况,就会通过网络化的云平台自动备份、自动替换、自动更新,并把相关信息上传到上级指挥所。二是离线终端的在线信息服务和智能软件升级。

2.部队云,主要指营、旅一级作战所构建的云系统,重点是针对不同的威胁和环境,开展智能感知、智能决策、自主行动和智能保障等计算服务。部队云建设的目标是要建立网络化、自动备份,并与上级多个链路相连的分布式云系统,满足侦察感知、机动突击、指挥控制、火力打击、后装保障等不同力量的计算需要,满足战术联合行动、有人/无人协同、集群攻防等不同作战任务的计算需要。

3.战区云,重点是提供整个作战区域的战场气象、地理、电磁、人文、社会等环境因素和信息数据,提供作战双方的兵力部署、武器装备配备、运动变化、战损情况等综合情况,提供上级、友军和民用支援力量等相关信息。战区云应具备网络化、定制化、智能化等信息服务功能,并通过天基、空中、地面、海上和水下等军用通信网络,以及采取保密措施下的民用通信网络,与各个作战部队互联互通,确保提供高效、及时、准确的信息服务。

4.战略云,主要是由一个国家国防系统和军队指挥机关建立起来的以军事信息为主,涵盖相关国防科技、国防工业、动员保障、经济和社会支撑能力,以及政治、外交、舆论等综合性的信息数据,提供战争准备、作战规划、作战方案、作战进程、战场态势、战况分析等核心信息及评估分析和建议;提供战略情报、作战对手军事实力和战争动员潜力等支撑数据。

上述各个云之间,既有大小关系、上下关系,也有横向协作、相互支撑、相互服务的关系。军事云平台的核心任务有两个:一是为构建智能化作战的AI脑体系提供数据和计算支撑;二是为各类作战人员和武器平台,提供作战信息、计算和数据保障。此外,从终端和群体作战需求来看,还需要把云计算的一些结果、模型、算法,事先做成智能芯片,嵌入武器平台和群终端,之后,可以在线升级,也可以离线更新。

通信网络。军用通信与网络信息,是一个复杂的超级网络系统。由于军事力量主要是在陆、海、空、天和野战机动、城镇等环境下作战,其通信网络包括战略通信与战术通信、有线通信与无线通信、保密通信和民用通信等。其中,无线、移动、自由空间通信网络是军用网络体系最重要的组成部分,相关的综合电子信息系统也是依托通信网络逐步建立起来的。

机械化时代的军用通信,主要是跟着平台、终端和用户走,专用性得到了满足,但烟囱太多、互联互通能力极差。信息化时代,这种状况开始改变。目前,军用通信网络正在采取新的技术体制和发展模式,主要有两个特征:一是“网数分离”,信息的传输不依赖于某种特定的网络传输方式,“网通即达”,只要网络链路畅通,所需任何信息即可送达;二是互联网化,基于IP地址和路由器、服务器实现“条条大路通北京”,即军用网络化或者栅格化。当然,军事通信网络与民用不同,任何时候都存在战略性、专用性通信需求,如核武器的核按钮通信和战略武器的指挥控制,卫星侦察、遥感和战略预警的信息传输,甚至单兵室内和特种作战等条件下的专用通信,可能仍然采取通信跟着任务走的模式。但即便如此,通用化、互联网化一定是未来军用通信网络发展的趋势,否则不仅造成战场通信频段、电台和信息交流方式越来越多,造成自扰、互扰和电磁兼容困难,无线电频谱管理也越来越复杂,更为重要的是,平台用户之间很难基于IP地址和路由结构等功能来实施自动联通,如同互联网上的电子邮件那样,一键命令可以传给多个用户。未来的作战平台,一定会既是通信的用户终端,也兼有路由器和服务器等功能。

军用通信网络体系主要包括天基通信网、军用移动通信网、数据链、新型通信网、民用通信网等。

1.天基信息网。在天基信息网络建设和天基信息利用方面,美国居于领先地位。因为太空中上千个在轨平台和载荷中,一半多是美国人的。美军在海湾战争后尤其是伊拉克战争期间,通过战争实践加快了天基信息网络的应用和推进步伐。伊拉克战争之后,通过天基信息的利用和基于IP方式互联互通的建立,彻底将海湾战争时期近140个纵向烟囱实现横向互联,大大缩短了“侦察—判断—决策—攻击”(OODA)回路的时间,从天基传感器到射手的时间由海湾战争时的几十个小时缩短到目前采用人工智能识别后仅20秒左右。

随着小卫星技术的飞速发展,低成本、多功能的小卫星越来越多。商用发射随着竞争越来越多,成本也开始急剧下降,并且一次发射可以携带几颗、十几颗甚至几十颗小卫星。如果再将小型化以后的电子侦察、可见光和红外成像,甚至是量子点微型光谱仪都集成在上面,实现侦察、通信、导航和气象、测绘等功能一体化,未来世界和战场将变得更加透明。

2.军用移动通信网。军用移动通信网络主要有三个方面的用途。一是联合作战各军兵种和作战部队之间的指挥控制,这类通信的保密等级较高,可靠性、安全性要求也高。二是平台、集群之间的通信联络,要求具备抗干扰和较高的可靠性。三是武器系统的指控和火控,大多通过数据链解决。

传统的军用移动通信网络,大多是“有中心、纵向为主、树状结构”。随着信息化进程的加快,“无中心、自组网、互联网化”的趋势愈加明显。随着认知无线电技术的逐步成熟和推广(见图3),未来的网络通信系统,能够自动识别战场中的电磁干扰和通信障碍,快速寻找可用频谱资源,通过跳频跳转等方式进行实时通信联络。同时,软件与认知无线电技术还能兼容不同通信频段与波形,便于在旧体制向新体制的过渡中兼容使用。

吴明曦3

3.数据链。数据链是一种特殊的通信技术,通过时分、频分、码分等形式,在各作战平台之间实现事先约定的、定期或不定期、有规则或无规则关键信息的传输,只要不被敌方完全掌握或破译,是很难被干扰的。数据链主要分为专用和通用两大类。联合作战、编队协同和集群作战等,主要采用通用数据链。卫星数据链、无人机数据链、弹载数据链、武器火控数据链等,目前多数还是专用的。未来,通用化是一种趋势,专用化将越来越少。此外,从平台和通信的关系来看,平台传感器的信息收发和内部信息处理一般跟着任务系统走,专用化特点较强,平台之间的通信联络和数据传输则越来越通用化。

4.新型通信。传统军用通信以微波通信为主,由于发散角较大,应用平台较多,相应的电子干扰和微波攻击手段发展也较快,容易实施较远距离的干扰与破坏。因此,毫米波、太赫兹、激光通信、自由空间光通信等新型通信手段,就成为既抗干扰,又容易实施高速、大容量、高带宽通信的重要选择。由于高频电磁波发散角较小,虽然抗干扰性能好,但要实现点对点的精确瞄准和全向通信,仍然有一定难度,尤其是在作战平台高速机动和快速变轨条件下,如何实现对准和全向通信,技术上仍在探索之中。

5.民用通信资源。民用通信资源的有效利用,是智能化时代需要重点考虑和无法回避的战略问题。未来通过民用通信网络尤其是5G/6G移动通信,进行开源信息挖掘和数据关联分析,提供战场环境、目标和态势信息,无论是对作战还是非战争军事行动来说都非常重要。在非战争军事行动任务中,尤其是海外维和、救援、反恐、救灾等行动中,军队的专用通信网络,只能在有限范围和地域中使用,而如何与外界交流和联系就成为一个问题。利用民用通信资源,主要有两种途径:一是利用民用卫星特别是小卫星通信资源;二是利用民用移动通信及互联网资源。

军用与民用通信资源的互动利用,核心是要解决安全与保密问题。一种方式是采取防火墙和加密形式,直接利用民用卫星通信和全球移动通信设施来指挥通信和联络,但黑客与网络攻击的风险依然存在。另一种方式是,采用近年发展起来的虚拟化、内联网、半物理隔离、单向传输、拟态防御、区块链等新技术予以解决。

协同群。通过模拟自然界蜂群、蚁群、鸟群及鱼群等行为,研究无人机、智能弹药等集群系统的自主协同机制,完成对敌目标进攻或防御等作战任务,可以起到传统作战手段和方式难以达到的打击效果。协同群是智能化发展的一个必然趋势,也是智能化建设的主要方向和重点领域。单一作战平台,无论战技性能多高、功能多强,也无法形成群体、数量规模上的优势。简单数量的堆积和规模的扩展,如果没有自主、协同、有序的智能元素,也是一盘散沙。

协同群主要包括三个方面:一是依托现有平台智能化改造形成的有人/无人协同群,其中以大、中型作战平台为主构建;二是低成本、同质化、功能单一、种类不同的作战蜂群,其中以小型无人作战平台和弹药为主构建;三是人机融合、兼具生物和机器智能的仿生集群,其中以具有高度自主能力的仿人、仿爬行动物、仿飞禽动物、仿海洋生物为主构建。利用协同群系统实施集群作战特别是蜂群作战,具有多方面的优势与特点。

1.规模优势。庞大的无人系统可以分散作战力量,增加敌方攻击的目标数,迫使敌人消耗更多的武器和弹药。集群的生存能力,因数量足够多而具有较大的弹性和较强的恢复能力,单个平台的生存能力变得无关紧要,而整体的优势更为明显。数量规模使战斗力的衰减不会大起大落,因为消耗一个低成本的无人平台,不像高价值的有人作战平台与复杂武器系统,如B2战略轰炸机,F22、F35先进作战飞机,一旦受到攻击或被击毁,战斗力将急剧下降。集群作战可以同时发起攻击,使敌人的防线不堪重负,因为大部分防御系统能力有限,一次只能处理一定数量的威胁,即便是密集火炮防御,一次齐射也只能击中有限目标,总有漏网之鱼,所以集群系统突防能力极强。

2.成本优势。集群作战特别是蜂群作战大多以中小无人机、无人平台和弹药为主,型谱简单、数量规模较大,质量性能要求相同,便于低成本大规模生产。现代武器装备和作战平台,虽然升级换代的速度明显加快,但成本上涨也极其惊人。二战以后,武器装备研发和采购价格表明,装备成本和价格上涨比性能提升快得多。海湾战争时期的主战坦克是二战时期的40倍,作战飞机和航母则高达500倍。海湾战争之后到2020年,各类主战武器装备价格又分别上涨了几倍、十几倍、甚至几十倍。与此相比,型谱简单的中小无人机、无人平台和弹药具有明显的成本优势。

3.自主优势。在统一的时空基准平台下,通过网络化的主动、被动通信联络和对战场环境目标的智能感知,群体中的单个平台可以准确感知到相互之间的距离、速度和位置关系,也可以快速识别目标威胁的性质、大小、轻重缓急,以及自身与友邻平台距离的远近。在事先制定好作战规则的前提下,可以让一个或数个平台,按照目标威胁的优先级,进行同时攻击和分波次攻击,也可以分组同时攻击、多次攻击(见图4),还可以明确某个平台一旦受损后,后续平台的优先替补顺序,最终达到按照事先约定好的作战规则,自主决策、自主行动。这种智能化作战行动,根据人的参与程度和关键节点控制难度,既可以完全交给群体自主行动,也可以实施有人干预下的半自主行动。

吴明曦4

4.决策优势。未来的战场环境日趋复杂,作战双方是在激烈的博弈和对抗中较量。因此,快速变化的环境和威胁,依靠人在高强度对抗环境下参与决策,时间上来不及,决策质量也不可靠。因此,只有交由协同群进行自动环境适应,自动目标和威胁识别,自主决策和协同行动,才能快速地攻击对手或实施有效防卫,取得战场优势和主动权。

协同群给指挥控制带来了新挑战。怎么对集群实施指挥控制是一个新的战略课题。可以分层级、分任务实施控制,大致包括集中控制模式、分级控制模式、一致协同模式、自发协同模式。[1]可以采取多种形式,实现人为的控制和参与。一般来讲,越是在战术层面的小分队行动,越是要采取自主行动和无人干预;在成建制的部队作战层面,由于涉及对多个作战群的控制,需要采取集中规划、分级控制,人要有限参与;在更高级的战略和战役层次,集群只是作为一种平台武器和作战样式来使用,需要统一规划和布局,人为参与的程度就会更高。从任务性质来看,执行战略武器的操作使用,如核反击,就需要由人操作,不适合交给武器系统自主处理;执行重要目标、高价值目标的攻防时,如斩首行动,也需要人全程参与和控制,同时发挥武器系统的自主功能;对于战术目标的进攻,如果需要实施致命打击和毁伤任务的作战行动,可以让人有限参与,或者经人确认后,让协同群去自动执行;执行侦察、监视和目标识别、排查等非打击任务,或执行防空反导等时间短、人难以参与的任务时,主要交由协同群自动执行,而人不需要参与,也无法参与。此外,集群作战也要重视研究其反制措施。重点研究电子欺骗、电磁干扰、网络攻击和高功率微波武器、电磁脉冲炸弹、弹炮系统等反制措施,其相关作用和效果比较明显。同时,还要研究激光武器、蜂群对蜂群等反制措施,逐步建立人类能有效控制的、对付协同群的“防火墙”。

虚实端。虚实端主要指各类与“云、网”链接的终端,包括预先置入智能模块的各类传感器、指控平台、武器平台、保障平台、相关设备设施和作战人员。未来各种装备、平台,都是前台功能多样、后台云端支撑、虚实互动、在线离线结合的赛博实物系统CPS和人机交互系统。在简单环境感知、路径规划、平台机动、武器操作等方面,主要依靠前端智能如仿生智能、机器智能来实现。复杂的战场目标识别、作战任务规划、组网协同打击、作战态势分析、高级人机交互等,需要依靠后端云平台和云上AI提供信息数据与算法支撑。每个装备平台的前端智能与后端云上智能应结合,进行统筹规划与设计,形成前后端一体化智能的综合优势。同时,虚拟士兵、虚拟参谋、虚拟指挥员及其与人类的智能交互、高效互动等,也是未来研究发展的重点与难点。

战争形态质变

近代以来,人类社会主要经历了大规模的机械化战争和较小规模的信息化局部战争。20世纪前半叶发生的两次世界大战,是典型的机械化战争。20世纪90年代以来的海湾战争、科索沃战争、阿富汗战争、伊拉克战争和叙利亚战争,充分体现了信息化战争的形态与特点。新世纪新阶段,随着智能科技的快速发展与广泛应用,以数据和计算、模型和算法为主要特征的智能化战争时代即将到来(见图5)。

吴明曦5

机械化是工业时代的产物,技术上以机械动力和电气技术为重点,武器装备形态主要表现为坦克、装甲车辆、大炮、飞机、舰船等,对应的是机械化战争形态。机械化战争,主要基于以牛顿定律为代表的经典物理学和社会化大生产,以大规模集群、线式、接触作战为主,在战术上通常要进行现地侦察、勘查地形、了解对手前沿与纵深部署情况,结合己方能力下定决心,实施进攻或防御,进行任务分工、作战协同和保障,呈现出明显的指控层次化、时空串行化等特点。

信息化是信息时代的产物,技术上以计算机、网络通信等信息技术为重点,装备形态主要表现为雷达、电台、卫星、导弹、计算机、军用软件、指挥控制系统、网电攻防系统、综合电子信息系统等,对应的是信息化战争形态。信息化战争,主要基于计算机与网络三大定律(摩尔定律、吉尔德定律和梅特卡夫定律),以一体化联合、精确、立体作战为主,建立“从传感器到射手的无缝快速信息链接”,夺取制信息权,实现先敌发现与打击。在战术上则要对战场和目标进行详细识别和编目,突出网络化感知和指挥控制系统的作用,对平台的互联互通等信息功能提出了新的要求。由于全球信息系统和多样化网络通信的发展,信息化战争淡化了前后方的界限,强调“侦控打评保”横向一体化和战略、战役、战术的一体化与扁平化。

智能化是知识经济时代的产物,技术上以人工智能、大数据、云计算、认知通信、物联网、生物交叉、混合增强、群体智能、自主导航与协同等智能科技为重点,装备形态主要表现为无人平台、智能弹药、集群系统、智能感知与数据库系统、自适应任务规划与决策系统、作战仿真与平行训练系统、军事云平台与服务系统、舆情预警与引导系统、智能可穿戴系统等,对应的是智能化战争形态。

智能化战争,主要基于仿生、类脑原理和AI的战场生态系统,是以“能量机动和信息互联”为基础、以“网络通信和分布式云”为支撑、以“数据计算和模型算法”为核心、以“认知对抗”为中心,多域融合、跨域攻防,无人为主、集群对抗,虚拟与物理空间一体化交互的全新作战形态。

智能化战争以满足核常威慑、联合作战、全域作战和非战争军事行动等需求为目标,以认知、信息、物理、社会、生物等多域融合作战为重点,呈现出分布式部署、网络化链接、扁平化结构、模块化组合、自适应重构、平行化交互、聚焦式释能、非线性效应等特征,制胜机理颠覆传统,组织形态发生质变,作战效率空前提高,战斗力生成机制发生转变。其实质性的变化主要体现在以下十个方面。

AI主导的制胜机理。在智能化条件下,以“AI、云、网、群、端”为代表的全新作战要素将重构战场生态系统,战争的制胜机理将完全改变。其中,基于模型和算法的AI系统是核心作战能力,贯穿各个方面、各个环节,起到倍增、超越和能动的作用,平台有AI控制,集群有AI引导,体系有AI决策,传统以人为主的战法运用被AI的模型和算法所替代,算法战将在战争中起到决定性作用,作战体系和进程最终将以AI为主导,制智权成为未来战争的核心制权。

不同时代、不同战争形态,战场生态系统是不一样的,作战要素构成、制胜机理完全不同。机械化战争是平台中心战,核心是“动”,主导力量是火力和机动力,追求以物载能、以物释能。作战要素主要包括:人+机械化装备+战法。制胜机理是基于机械化装备作战运用的以人为主导的决策,以多胜少、以大吃小、以快制慢,全面、高效、可持续的动员能力,分别起到决定性或重要的作用。信息化战争是网络中心战,核心是“联”,主导力量是信息力,追求以网聚能、以网释能。作战要素及相互关系主要是:基于网络信息的“人+信息化装备+战法”。信息贯穿于人、装备和战法,建立“从传感器到射手”的无缝信息连接,实现体系化网络化作战能力,以体系对局部、以网络对离散、以快制慢,成为取得战争胜利的重要机理。其中,信息对装备和作战体系起到了倍增的作用,但平台仍然以有人为主,信息围绕人发挥辅助决策的作用,但多数决策还是以人为主。智能化战争是认知中心战,核心是“算”,主导力量是智力,智力所占权重将超过火力、机动力和信息力,追求的将是以智驭能、以智制能,以虚制实、以优胜劣,作战双方谁的AI多,谁的AI更聪明,战场主动权就越大。作战要素及相互关系主要是:AI×(云+网+群+人+装备+战法),可以简化为“AI、云、网、群、端”要素构成的相互关联与融合的战场生态系统。未来,AI在战争中的作用将越来越大、越来越强,最终将发挥决定和主导作用。

强调AI的主导作用,并不否认人在战争中的作用。一方面,人的聪明才智已经前置并赋予了AI;另一方面,在战前、后台和战略层面,在相当长一段时间和可预见的未来,AI是无法取代人类的。

现代战争战场环境越来越复杂、作战对抗速度越来越快,如何快速识别处理海量信息、快速响应战场态势、快速制定决策方案,已远非人力所能,也超出了现有技术手段的极限(见表1、表2)。随着AI在战争体系中的应用越来越广、作用越来越大,作战流程将重新塑造,军事杀伤链将提速增效,感知快、决策快、行动快、保障快,成为未来智能化战争制胜的重要砝码。

吴明曦-表1
吴明曦-表2

未来,通过图像、视频、电磁频谱、语音等智能识别与模式识别,对天空地海传感器网络复杂战场信息能够快速精确实施目标识别。利用大数据技术,通过多源多维定向搜索与智能关联分析,不仅能够对各种打击目标进行准确定位,还能够对人类行为、社会活动、军事行动和舆情态势精准建模,逐步提高预警预测准确率。各战区和战场基于精准战场信息,通过事先虚拟空间的大量平行建模和模拟训练,能够自适应地实施任务规划、自主决策与作战进程控制。各作战平台、集群系统的AI,根据任务规划能够围绕作战目标自主、协同执行任务,并针对随时出现的变化进行能动调整。通过事先建立分布式、网络化、智能化、多模式的保障体系与预置布局,能够快速实施精准物流配送、物资供应和智能维修等。总之,通过智能科技的广泛应用和各种AI系统的能动作用、进化功能,在谋划、预测、感知、决策、实施、控制、保障等作战全过程,实现“简单、快捷、高效、可控”的作战流程再造,能够让人类从繁重的作战事务中逐步解脱出来。作战流程再造将促使未来战场节奏加快、时间压缩、过程变短。

AI主导的制胜机理,主要表现在作战能力、手段、策略和措施方面,全面融合了人的智力,接近了人的智能,超越了人的极限,发挥了机器的优势,体现了先进性、颠覆性和创新性。这种先进与创新,不是以往战争简单的延长线和增长量,而是一种质的变化和跃升,是一种高阶特征。这种高阶特征体现为智能化战争具有传统战争形态所不具备的“类脑”功能和很多方面“超越人类极限的能力”。随着AI的不断优化迭代,它总有一天将超过普通士兵、参谋、指挥员甚至精英和专家群体,成为“超级脑”和“超级脑群”。这是智能化战争的核心和关键,是认识论和方法论领域的技术革命,是人类目前可预见、可实现、可进化的高级作战能力。

虚拟空间作用上升。随着时代的进步和科技的发展,作战空间逐步从物理空间拓展到虚拟空间。虚拟空间在作战体系中的地位作用逐步上升且越来越重要,越来越同物理空间和其他领域实现深度融合与一体化。虚拟空间是由人类构建的基于网络电磁的信息空间,它可以多视角反映人类社会和物质世界,同时可以超越客观世界的诸多限制来利用它。构建它的是信息域,连接它的是物理域,反映出的是社会域,利用它的是认知域。狭义上的虚拟空间主要指民用互联网,广义上的虚拟空间主要指赛博空间(Cyberspace),包括各种物联网、军用网和专用网构成的虚拟空间。赛博空间具有易攻难防、以软搏硬、平战一体、军民难分等特征,已成为实施军事行动、战略威慑和认知对抗的重要战场。

虚拟空间的重要性主要体现在三个方面:一是通过网络信息系统,把分散的作战力量、作战要素连接为一个整体,形成体系化网络化作战能力,成为信息化战争的基础;二是成为网电、情报、舆情、心理、意识等认知对抗的主战场和基本依托;三是建立虚拟战场,开展作战实验,实现虚实互动,形成平行作战和以虚制实能力的核心与关键。

未来,随着全球互联、物联的加速升级,随着天基网络化侦察、通信、导航、移动互联、Wi-Fi和高精度全球时空基准平台、数字地图、行业大数据等系统的建立完善与广泛应用,人类社会和全球军事活动将越来越“透明”,越来越被联网、被感知、被分析、被关联、被控制(见图6),对军队建设和作战呈现全方位、泛在化的深刻影响,智能化时代的作战体系将逐步由封闭向开放、由以军为主向军民融合的“开源泛在”方向拓展。

吴明曦6

智能化时代,物理、信息、认知、社会、生物等领域的信息数据将逐渐实现自由流动,作战要素将实现深度互联与物联,各类作战体系将从初级的“能力组合”向高级的“信息融合、数据交链、一体化行为交互”方向发展,具备强大的全域感知、多域融合、跨域作战能力,具备随时随地对重要目标、敏感人群和关键基础设施实施有效控制的能力。美国陆军联合兵种中心的一份报告认为,这个世界正在进入“全球监控无处不在”的时代。即使这个世界无法跟踪所有的活动,技术的扩散也无疑会使潜在的信息来源以指数方式增长。

目前,基于网络的软件攻击已具备物理毁伤能力,军事发达国家的网络攻击已具备入侵、欺骗、干扰、破坏等作战能力,赛博空间已经成为实施军事行动和战略威慑的又一重要战场。美国的网络攻击已经用于实战。突尼斯的本·阿里、利比亚的卡扎菲、伊拉克的萨达姆都曾经被美国的网络攻防和维基解密影响,造成舆情转向、心理失控、社会动荡,导致政权的迅速垮台,对传统战争形态产生了颠覆性影响。通过斯诺登事件,美国使用的11类49项“赛博空间”侦察项目目录清单陆续被曝光,“震网”病毒破坏伊朗核设施、“高斯”病毒群体性入侵中东有关国家、“古巴推特网”控制大众舆情等事件,表明美国已具备对互联网、封闭网络、移动无线网络的强大监控能力、软硬攻击和心理战能力。

战争从虚拟空间实验开始。美军从20世纪80年代就开始了作战仿真、作战实验和模拟训练的探索。后来,美军又率先将虚拟现实、兵棋推演、数字孪生等技术用于虚拟战场和作战实验。据分析,海湾战争、科索沃战争、阿富汗战争、伊拉克战争等军事行动,美军都开展了作战模拟推演,力图找出的最优作战和行动方案。据报道,俄罗斯出兵叙利亚之前,就在战争实验室进行了作战预演,依据实验推演情况,制定了“中央-2015”战略演习计划,针对叙利亚作战演练了“在陌生区域的机动和可到达性”。演习结束后,俄军格拉西莫夫总参谋长强调,以政治、经济及舆论心理战等手段为主,辅之以远程精确的空中打击、特种作战等措施,最终达成政治和战略目的。实践表明,俄出兵叙利亚的进程,与实验、演习基本一致。

未来,随着虚拟仿真、混合现实、大数据、智能软件的应用和发展,通过建立一个平行军事人工系统,使物理空间的实体部队与虚拟空间的虚拟部队相互映射、相互迭代,可以在虚拟空间里解决物理空间难以实现的快速、高强度对抗训练和超量计算,可以与高仿真的“蓝军系统”进行对抗和博弈,不断积累数据,建立模型和算法,从而把最优解决方案用于指导实体部队建设和作战,达到虚实互动、以虚制实、以虚制胜的目的。2019年1月25日,谷歌旗下人工智能团队DeepMind与《星际争霸》开发公司暴雪,公布了2018年12月AlphaSTAR与职业选手TLO、MANA的比赛结果,最终在五局三胜赛制中,AlphaSTAR均以5:0取胜。AlphaSTAR只用了两周时间就完成了人类选手需要200年时间的训练量,展示了在虚拟空间进行仿真对抗训练的巨大优势与光明前景。

无人化为主的作战样式。智能化时代,无人化作战将成为基本形态,人工智能与相关技术的融合发展将逐步把这种形态推向高级阶段。无人系统是人类智慧在作战体系中的充分前置,是智能化、信息化、机械化融合发展的集中体现。无人装备最早出现在无人机领域,1917年,英国造出了世界上第一架无人机,但未用于实战。随着技术发展,无人机逐步用于靶机、侦察、察打一体等领域。进入21世纪以来,无人技术与装备由于具有以任务为中心设计、不必考虑乘员需求、作战效费比高等优势,其探索应用已经实现了巨大跨越,取得了重大突破,显现出快速全方位发展的态势,应用范围迅速拓展,涵盖了空中、水面、水下、地面、空间等各个领域。

近年来,人工智能、仿生智能、人机融合智能、群体智能等技术飞速发展,借助卫星通信与导航、自主导航,无人作战平台能够很好地实现远程控制、编队飞行、集群协同。目前,无人作战飞行器、水下无人平台和太空无人自主操作机器人相继问世,双足、四足、多足和云端智能机器人等正在加速发展,已经步入工程化和实用化快车道,军事应用为期不远。

总体上看,智能化时代的无人化作战,将进入三个发展阶段。第一阶段是有人为主、无人为辅的初级阶段,其主要特点是“有人主导下的无人作战”,也就是事前、事中、事后都是由人完全控制和主导的作战行为。第二阶段是有人为辅、无人为主的中级阶段,其主要特点是“有限控制下的无人作战”,即在作战全过程中人的控制是有限度、辅助性但又是关键性的,多数情况可以依靠平台自主行动能力。第三阶段是规则有人、行动无人的高级阶段,其主要特点是“有人设计、极少控制的无人作战”,人类事先进行总体设计,明确各种作战环境条件下的自主行为与游戏规则,在行动实施阶段主要交由无人平台和无人部队自主执行。

自主行为或者自主性,是无人化作战的本质,是智能化战争既普遍又显著的特征,体现在很多方面。

一是作战平台的自主,主要包括无人机、地面无人平台、精确制导武器、水下和太空机器人等自主能力和智能化水平。

二是探测系统的自主,主要包括自动搜索、跟踪、关联、瞄准和图像、语音、视频、电子信号等信息的智能识别。

三是决策的自主,核心是作战体系中基于AI的自主决策,主要包括战场态势的自动分析、作战任务的自动规划、自动化的指挥控制、人机智能交互等。

四是作战行动的自主协同,前期包括有人无人系统的自主协同,后期包括无人化的自主集群,如各类作战编队集群、蜂群、蚁群、鱼群等作战行为。

五是网络攻防的自主行为,包括各种病毒和网络攻击行为的自动识别、自动溯源、自动防护、自主反击等。

六是认知电子战,自动识别电子干扰的功率、频段、方向等,自动跳频跳转和自主组网,以及面向对手的主动、自动电子干扰等。

七是其他自主行为,包括智能诊断、自动修复、自我保障等。

未来,随着人工智能和相关技术融合发展的不断升级,无人化将向自主、仿生、集群、分布式协同等方向快速发展,逐步把无人化作战推向高级阶段,促使战场上有生力量的直接对抗显著减少。虽然未来有人平台会一直存在,但仿生机器人、类人机器人、蜂群武器、机器人部队、无人化体系作战,在智能化时代将成为常态。由于在众多作战领域都可以用无人系统来替代,都可以通过自主行为去完成,人类在遭到肉体打击和损伤之前,一定有无人化作战体系在前面保驾护航。因此,智能化时代的无人化作战体系,是人类的主要保护屏障,是人类的护身符和挡箭牌。

全域作战与跨域攻防。智能化时代全域作战与跨域攻防,也是一种基本作战样式,体现在很多作战场景、很多方面。从陆、海、空、天到物理、信息、认知、社会、生物多领域,以及虚拟和实体的融合互动,从平时的战略威慑到战时的高对抗、高动态、高响应,时间和空间跨度非常大。既面临物理空间作战和虚拟空间网络攻防、信息对抗、舆情引导、心理战等认知对抗,还面临全球安全治理、区域安全合作、反恐、救援等任务,面临网络、通信、电力、交通、金融、物流等关键基础设施的管控。

2010年以来,以信息化智能化技术成果为支撑,美军提出了作战云、分布式杀伤、多域战、算法战、马赛克战、联合全域作战等概念,目的是以体系对局部、以多能对简能、以多域对单域、以融合对离散、以智能对非智能,维持战场优势和军事优势。美军2016年提出多域战、2020年提出联合全域作战概念,目的是发展跨军种跨领域的联合作战能力,实现单一军种作战背后都有三军的支持,具备全域对多域、对单域的能力优势。

未来,随着人工智能与多学科交叉融合、跨介质攻防关键技术群的突破,在物理、信息、认知、社会、生物等功能域之间,在陆、海、空、天等地理域之间,基于AI与人机混合智能的多域融合与跨域攻防,将成为智能化战争一个鲜明的特征。

智能时代的多域与跨域作战,将从任务规划、物理联合、松散协同为主,向异构融合、数据交链、战术互控、跨域攻防一体化拓展。

一是多域融合。根据多域环境下不同的战场与对手,按照联合行动的要求把不同的作战样式、作战流程和任务规划出来,尽量统一起来,实现信息、火力、防御、保障和指控的统筹与融合,实现战略、战役和战术各层次作战能力的融合,形成一域作战、多域联合快速支援的能力。

二是跨域攻防。在统一的网络信息体系支撑下,通过统一的战场态势,基于统一标准的数据信息交互,彻底打通跨域联合作战侦控打评信息链路,实现在战术和火控层面军种之间协同行动、跨域指挥与互操作、作战要素与能力的无缝衔接。

三是全程关联。把多域融合和跨域攻防作为一个整体,统筹设计、全程关联。战前,开展情报收集与分析,实施舆论战、心理战、宣传战和必要的网电攻击。战中,通过特种作战和跨域行动,实施斩首、要点破袭和精确可控打击(见图7)。战后,防御信息系统网络攻击、消除负面舆论对民众影响、防止基础设施被敌破坏,从多个领域实施战后治理、舆情控制和社会秩序恢复。

吴明曦7

四是AI支持。通过作战实验、模拟训练和必要的试验验证、实战检验,不断积累数据、优化模型,建立不同作战样式与对手的AI作战模型和算法,形成一个智能化的脑体系,更好地支撑联合作战、多域作战和跨域攻防。

人与AI混合决策。智能化战场AI脑体系的不断健全、优化、升级和完善,使其将在许多方面超越人类。几千年来,人类战争以人为主的指挥控制和决策模式将彻底改变,人指挥AI、AI指挥人、AI指挥AI等,都有可能在战争中出现。

分布式、网络化、扁平化、平行化是智能化作战体系的重要特征,有中心、以人为主的单一决策模式,逐步被基于AI的无人化、自主集群、有人无人协同等无中心、弱中心模式所改变,相互之间的混合兼容成为发展趋势。作战层级越低、任务越简单,无人化、无中心的作用越突出;层级越高、任务越复杂,人的决策、有中心的作用越重要。战前以人决策为主、以AI决策为辅,战中以AI决策为主、以人决策为辅,战后两者都有、以混合决策为主(见表3)。

吴明曦-表3

未来战场,作战对抗态势高度复杂、瞬息万变、异常激烈,多种信息交汇形成海量数据,仅凭人脑难以快速、准确处理,只有实现“人脑+AI”的协作运行方式,基于作战云、数据库、网络通信、物联网等技术群,“指挥员”才能应对瞬息万变的战场,完成指挥控制任务。随着无人系统自主能力的增加,集群和体系AI功能的增强,自主决策逐步显现。一旦指挥控制实现不同程度的智能化,侦察—判断—决策—攻击(OODA)回路时间将大大压缩,效率将明显提升。尤其是用于网络传感器图像处理的模式识别、用于作战决策的“寻优”算法、用于自主集群的粒子群算法和蜂群算法等,将赋予指挥控制系统更加高级、完善的决策能力,逐步实现“人在回路外”的作战循环。

非线性放大与快速收敛。未来的智能化作战,不再是能量的逐步释放和作战效果的线性叠加,而是非线性、涌现性、自生长、自聚焦等多种效应的急剧放大和结果的快速收敛。

涌现主要指复杂系统内每个个体都遵从局部规则,不断进行交互后,以自组织方式产生出整体质变效应的过程。未来,战场信息虽然复杂多变,但通过图像、语音、视频等智能识别和军事云系统处理后,具备“一点采集、大家共享”能力,通过大数据技术与相关信息快速关联,并与各类武器火控系统快速交链后,实施分布式打击、集群打击和网络心理战等,能够实现“发现即摧毁”“一有情况群起而攻之”和“数量优势滋生心理恐慌效应”,这些现象就是涌现效应。

智能化作战的涌现效应主要体现在三个方面:一是基于AI决策链的快速而引发的杀伤链的加速;二是有人无人协同特别蜂群系统数量优势所引发的作战效应;三是基于网络互联互通所产生的快速群体涌现行为。

军事智能化发展到一定阶段后,在高级AI、量子计算、IPV6、高超声速等技术共同作用下,作战体系将具备非线性、非对称、自生长、快速对抗、难以控制的放大效应和行动效果,特别在无人、集群、网络舆情、认知对抗等方面尤为明显,群愚生智、以量增效、非线性放大、涌现效应越来越突出,AI主导下的认知、信息、能量对抗相互交织并围绕着目标迅速聚焦,时间越来越被压缩,对抗速度越来越快,即呈现多种效应的急剧放大和结果的快速收敛。能量冲击波、对抗极速战、AI终结者、舆情反转、社会动荡、心理失控、物联网连锁效应等,将成为智能化战争的显著特征。

无人化集群攻击,作战双方在平台性能大致相同的条件下,遵循兰切斯特方程,作战效能与数量的平方成正比,数量优势就是质量优势。网络攻防和心理舆情效应,遵循梅特卡夫定律,与信息互联用户数的平方成正比,非线性、涌现效应更加明显。战场AI数量的多少和智商的高低,更决定着作战体系智能化的整体水平,关系到战场智权的控制,影响战争胜负和结局。智能化时代,如何处理好能量、信息、认知、数量、质量、虚拟、实体之间的相互关系,如何巧妙地设计、把控、运用和评估非线性效应,是未来战争面临的重大新挑战和新要求。

未来,无论是舆情反转、心理恐慌,还是蜂群攻击、集群行动,以及人在环外自主作战,其涌现效应和打击效果,将成为相对普遍的现象和容易实施的行动,形成威慑与实战兼容的能力,也是人类社会必须严加管理和控制的战争行为。

有机共生的人装关系。在智能化时代,人与武器的关系将发生根本性改变,在物理上越来越远、在思维上越来越近。装备形态和发展管理模式将完全改变,人的思想和智慧通过AI与武器装备深度交链,在装备发展阶段充分前置、在使用训练阶段优化迭代、在作战验证之后进一步升级完善,如此循环往复、不断递进。

第一,随着网络通信、移动互联、云计算、大数据、机器学习和仿生等技术的快速发展及其在军事领域的广泛应用,传统武器装备的结构和形态将彻底改变,呈现出前后台分工协作、高效互动、自适应调整等多样化功能,是集机械、信息、网络、数据、认知于一体的复合体。

第二,人与武器逐渐物理脱离,但在思维上逐步深度融合为有机共生体。无人机、机器人的逐步成熟,从辅助人作战转向代替人作战,人更加退居到后台。人与武器的结合方式,将以崭新形态出现。人的思想和智慧将全寿命周期地参与设计、研发、生产、训练、使用和保障过程,无人作战系统将把人的创造性、思想性和机器的精准性、快速性、可靠性、耐疲劳性完美结合起来。

第三,装备建设与管理模式发生深刻变化。机械化装备越用越旧、信息化软件越来越新、智能化算法越用越精。传统的机械化装备采用“预研—研制—定型”的模式交付部队,战技性能随时间和摩托小时呈下降趋势;信息化装备是机械化、信息化复合发展的产物,平台不变,但信息系统随计算机CPU和存储设备的发展不断迭代更新,呈现“信息主导、以软牵硬,快速更替、螺旋上升”的阶梯式发展特点;智能化装备以机械化、信息化为基础,随着数据和经验的积累,不断地优化提升训练模型和算法,呈现随时间和使用频率越用越强、越用越好的上升曲线。因此,智能化装备发展建设及使用训练保障模式,将发生根本性改变。

在学习对抗中进化。进化,一定是未来智能化战争和作战体系的一个鲜明特点,也是未来战略竞争的一个制高点。智能化时代的作战体系将逐步具备自适应、自学习、自对抗、自修复、自演进能力,成为一个可进化的类生态和博弈系统。

智能化作战体系与系统,最大的特点和与众不同之处,就在于其“类人、仿人”的智能与机器优势的结合,实现“超人类”的作战能力。这种能力的核心是众多模型和算法越用越好、越用越精,具备进化的功能。如果未来作战体系像人体一样,大脑是指挥控制中枢,神经系统是网络,四肢是受大脑控制的武器装备,就像一个生命体一样,具备自适应、自学习、自对抗、自修复、自演进能力,我们认为它就具备进化的能力和功能。由于智能化作战体系与生命体不完全一样,单一的智能化系统与生命体类似,但多系统的作战体系,更像一个“生态系统+对抗博弈系统”,比单一的生命体更复杂,更具有对抗性、社会性、群体性和涌现性。

经初步分析判断,随着作战仿真、虚拟现实、数字孪生、平行训练、智能软件、仿脑芯片、类脑系统、仿生系统、自然能源采集和新型机器学习等技术的发展应用,未来的作战体系可以逐步从单一功能、部分系统的进化向多功能、多要素、多领域、多系统的进化发展。各系统能够根据战场环境变化、面临的威胁不同、面临的对手不同、自身具备的实力和能力,按照以往积累的经验知识、大量仿真对抗性训练和增强学习所建立的模型算法,快速形成应对策略并采取行动,进而在战争实践中不断修正、优化和自我完善、自我进化。单一任务系统将具备类似生命体的特征和机能,多任务系统就像森林中的物种群那样具备相生相克、优胜劣汰的循环功能和进化机制,具备复杂环境条件下的博弈对抗和竞争能力,形成可进化的类生态和博弈系统。

作战体系的进化途径,主要体现在四个方面:一是AI的进化,随着数据和经验的积累,一定会不断优化、升级和提升。这一点比较容易理解。二是作战平台和集群系统的进化,主要从有人控制为主向半自主、自主控制迈进。由于不仅涉及平台和集群控制AI的进化,还涉及相关机械与信息系统的优化和完善,所以要相对复杂一点。三是任务系统的进化。如探测系统、打击系统、防御系统、保障系统的进化等,由于涉及多平台、多任务,所以进化涉及的因素和要素就复杂得多,有的可能进化快,有的可能进化慢。四是作战体系的进化,由于涉及全要素、多任务、跨领域,涉及各个层次的对抗,其进化过程就非常复杂。作战体系能否进化,不能完全依靠自生自长,而需要主动设计一些环境和条件,需要遵循仿生原则、适者生存原则、相生相克原则和全系统全寿命管理原则,才能具备持续进化的功能和能力。

智能设计与制造。智能化时代的国防工业,将从相对封闭、实物为主、周期较长的研究制造模式向开源开放、智能设计与制造、快速满足军事需求转变。

国防工业是国家战略性产业,是国家安全和国防建设的强大支柱,平时主要为军队提供性能先进、质量优良、价格合理的武器装备,战时是实施作战保障的重要力量,是确保打赢的核心支撑。国防工业是一个高科技密集的行业,现代武器装备研发和制造,技术密集、知识密集、系统复杂、综合性强,大型航母、战斗机、弹道导弹、卫星系统、主战坦克等武器装备的研发,一般都要经过十年、二十年甚至更长时间,才能定型交付部队,投入大、周期长、成本高。二战以后到上世纪末,国防工业体系和能力结构是机械化时代与战争的产物,其科研、试验、生产制造、保障等,重点面向军兵种需求和行业系统组织科研与生产,主要包括兵器、船舶、航空、航天、核和电子等行业,以及民口配套和基础支撑产业等。冷战后,美国国防工业经过战略调整和兼并重组,总体上形成了与信息化战争体系对抗要求相适应的国防工业结构和布局。美国排名前六位的军工巨头,既可以为相关军兵种提供专业领域的作战平台与系统,也可以为联合作战提供整体解决方案,是跨军兵种跨领域的系统集成商。进入21世纪以来,随着体系化、信息化作战需求的变化和数字化、网络化、智能化制造技术的发展,传统武器装备发展模式和科研生产能力开始逐步改变,迫切需要按照信息化战争特别是智能化战争的要求进行重塑和调整。

未来,国防科技工业将按照联合作战、全域作战、机械化信息化智能化融合发展要求,从传统以军兵种、平台建设为主向跨军兵种、跨领域系统集成转变,从相对封闭、自成体系、各自独立、条块分割、实物为主、周期较长的研究设计制造向开源开放、民主化众筹、虚拟化设计与集成验证、自适应制造、快速满足军事需求转变(见图8),逐步形成软硬结合、虚实互动、人机物环智能交互、纵向产业链有效衔接、横向分布式协同、军民一体化融合的新型创新体系和智能制造体系。军地多方联合论证设计,建设和使用供需双方共同研发,基于平行军事系统的虚实迭代优化,通过作战训练和实战验证来完善提升,边研边试边用边建,是智能化作战体系发展建设和战斗力生成的基本模式。

吴明曦8

吴明曦8

失控的风险。由于智能化作战体系在理论上具备自我进化并达到“超人类”的能力,如果人类不事先设计好控制程序、控制节点,不事先设计好“终止按钮”,结果很可能会带来毁灭和灾难。需要高度关注的是,众多黑客和“居心不良”的战争狂人,会利用智能化技术来设计难以控制的战争程序和作战方式,让众多机器脑AI和成群结队的机器人,按照事先设定的作战规则,自适应和自演进地进行战斗,所向披靡,勇往直前,最终酿成难以控制的局面,造成难以恢复的残局。这是人类在智能化战争进程中面临的重大挑战,也是需要研究解决的重大课题。需要从全人类命运共同体和人类文明可持续发展的高度,认识和重视这个问题,设计战争规则,制定国际公约,从技术上、程序上、道德上和法律上进行规范,实施强制性的约束、检查和管理。

以上十个方面的突变和跨越,是智能化战争新形态的主要内容。当然,智能化战争的发展与成熟,并不是空中楼阁、无本之木,而是建立在机械化和信息化之上。没有机械化和信息化,就没有智能化。机械化、信息化、智能化“三化”是一个有机整体,相互联系、相互促进,迭代优化、跨越发展。从目前看,机械化是基础,信息化是主导,智能化是方向。从未来看,机械化是基础,信息化是支撑,智能化是主导。

未来美好远景

在新世纪的时空隧道里,我们看到智能化战争的列车正快速行驶,是任由人类的贪婪和科技的强大走向更加残酷的黑暗,还是迈向更加文明和光明的彼岸,这是人类需要思索的重大哲学命题。智能化是未来,但不是全部。智能化能胜任多样化军事任务,但不是全能。面对文明之间、宗教之间、国家之间、阶层之间的尖锐矛盾,面对手持菜刀的暴徒、自杀式爆炸、群体性骚乱等极端事件,智能化作用仍然有限。全球政治不平衡、权利不平等、贸易不公平、社会矛盾不解决,战争和冲突将不可避免。世界最终靠实力说了算,而其中科技实力、经济实力和军事实力极其重要。军事实力虽然决定不了政治,但可以影响政治,决定不了经济,但可以为经济发展带来安全。智能化作战能力越强大,其威慑强敌、遏制战争的功能越强,和平就越有希望。就像核威慑那样,为避免可怕的后果和失控的灾难,在防止大规模战争方面发挥着重要的作用。

战争的智能化程度,在某种意义上体现了战争文明的进程。人类战争的历史,最初由族群之间食物和居住区域的争夺,到土地占领、资源掠夺、政治实力扩张、精神世界统治,无不充满血腥、暴力和镇压。战争作为人类社会不可调和矛盾的最终解决手段,其所追求的理想目标是文明化:不战而屈人之兵、资源投入最少、人员伤亡最小、对社会的破坏最轻……但以往的战争实践,往往因政治斗争、民族矛盾、经济利益争夺、科技毁伤手段的残酷等原因而事与愿违,常常把国家、城市和家园毁坏殆尽。以往的战争未能实现上述理想,而未来智能化战争由于技术上的突破、透明度的增加、经济利益互利共享的加深,特别是有生力量的对抗逐步让位于机器人之间的对抗、AI之间的博弈,人员伤亡、物质消耗、附带损伤会越来越小,在很大程度上存在实现文明化的可能性,给人类带来了希望。我们期待,未来战争,从人类社会的相互残杀、物质世界的极大破坏,逐步过渡到无人系统和机器人之间的战争,发展到仅限于作战能力和综合实力的威慑与制衡、虚拟世界中AI之间的对抗、高仿真的战争游戏……人类战争的消耗,只限于一定规模的无人系统、模拟对抗与仿真实验,甚至仅仅是打一场战争游戏的能源。人类由战争的谋划者、设计者、参与者、主导者和受害者,转变为理性的思想者、组织者、控制者、旁观者和裁决者。人类的身体不再受到创伤,精神不再受到惊吓,财富不再遭到破坏,家园不再遭到摧毁。虽然美好的理想和愿望,与残酷的现实可能始终存在差距,但衷心希望这一天能够到来,尽早到来。这是智能化战争发展的最高阶段,作者的最大愿望,人类的美好远景!

(感谢同事周旭芒研究员为论文撰写提供支持和帮助,他在智能化发展和建设方面有独到的思想和见解)

注释

[1][美]罗伯特·O.沃克等:《20YY:机器人时代的战争》,邹辉等译,北京:国防工业出版社,2016年,第148页。

The Era of Intelligent War Is Coming Rapidly

Wu Mingxi

Abstract: Since the entry into the new century, the rapid development of intelligent technology with artificial intelligence (AI) at the core has accelerated the process of a new round of military revolution. The competition in the military field is going rapidly to the era of intelligent power. The operational elements represented by “AI, cloud, network, group and end” and their diverse combinations constitute a new battlefield ecosystem, and the winning mechanism of war has changed completely. The AI system based on models and algorithms will be the core combat capability, running through all aspects and links and playing a multiplier, transcendence and active role. The platform has AI control, the cluster has AI guidance, and the system has AI decision-making. The traditional human-based combat method is replaced by AI models and algorithms, and intelligent dominance becomes the core of future war. The stronger the intelligent combat capability, the more hopeful the soldiers may win the war without firing a shot.

中國原創軍事資源:https://www.rmlt.com.cn/2021/0818/622318889.shtml

STRENGTHENING THE FOUNDATION FOR CHINESE MILITARY INTELLIGENT TRANSFORMATION

加強中國軍事情報轉型的基礎

現代英語:

The nature of warfare is rapidly evolving towards intelligence. The intelligent transformation of the military is not merely a simple accumulation of technologies, but a systemic change supported by data, algorithms, and computing power. These three elements mutually empower and organically integrate, forming the technological foundation for generating new combat capabilities. To accelerate the intelligent development of the military, we must deeply grasp the technological logic of intelligent transformation, solidify the data foundation, activate the algorithm engine, and strengthen computing power support to provide a solid guarantee for winning future intelligent wars.

Operational data: the “digital cornerstone” of intelligent transformation

Data is the “lifeblood” of intelligence. Without the accumulation of high-quality, large-scale, and multi-dimensional operational data, the transformation of military intelligence will be like water without a source or a tree without roots. In intelligent warfare, all activities across the entire chain, including battlefield perception, command and decision-making, and combat operations, are essentially processes of data generation, flow, processing, and application. The completeness, accuracy, and timeliness of operational data directly determine the perception precision, decision-making speed, and strike accuracy of intelligent systems, and are an indispensable cornerstone for the intelligent transformation of the military field.

The core value of operational data lies in breaking through the “fog of war” and enabling a shift from experience-driven to data-driven approaches. In traditional warfare, commanders primarily rely on battlefield reconnaissance, intelligence analysis, and combat experience to make decisions. Limited by the breadth and depth of information acquisition, these decisions often carry a degree of subjectivity and limitation. However, in the era of intelligent warfare, a single reconnaissance drone can transmit 5GB of image data per second, and satellite networks constantly track tens of thousands of ground targets, resulting in a geometrical increase in the rate of battlefield data generation. This operational data, originating from multiple domains including land, sea, air, space, cyber, electronic, and psychological domains, can, after standardized processing and in-depth analysis, construct a transparent battlefield situation across all domains, providing commanders with precise decision-making support.

Building a comprehensive operational data resource system requires focusing on key aspects of the entire lifecycle governance. In the data acquisition phase, it’s essential to base data acquisition on the needs of all-domain operations, broaden data source channels, and achieve full coverage of data in both traditional and new domains. Traditional domains should focus on land, sea, and air battlefields, accurately collecting data on troop deployments, equipment performance, and terrain. New domains should extend to outer space, deep sea, polar regions, and cyberspace, prioritizing the collection of data on space target trajectories, deep-sea environmental parameters, and cyberspace situational awareness. In the data fusion and processing phase, a unified data standard system must be established to address prominent issues such as multiple values ​​for a single data point and inconsistent formats, achieving interconnectivity between data from different sources and of different types. In the data sharing phase, a sound cross-domain sharing mechanism must be established, along with tiered and categorized sharing rules, breaking down service-specific barriers, departmental boundaries, and network isolation to build a ubiquitous, all-encompassing, and interconnected data sharing environment, maximizing the utilization of data resources.

To fully leverage the multiplier effect of combat data, the key lies in cultivating data-driven thinking and building a strong professional team. Data-driven thinking is the prerequisite for activating data value. It is essential to guide officers and soldiers to develop the habit of “thinking with data, speaking with data, managing with data, and making decisions with data,” abandoning traditional thinking patterns based on experience and intuition. In operational planning, quantitative analysis should be based on data; in training evaluation, precise measurement should be based on data standards; and in equipment development, iterative optimization should be supported by data. Simultaneously, efforts should be focused on building a professional data talent team, clarifying the responsibilities of each position, and connecting the entire process from data generation to data application. Through various means such as academic training, on-the-job experience, and specialized training, the professional skills of officers and soldiers in data collection, processing, analysis, and application should be improved, creating a composite talent team that understands both military operations and data technology, providing talent support for releasing the value of data.

Specialized Algorithms: The “Digital Engine” of Intelligent Transformation

If data is the “fuel” of intelligence, then algorithms are the “engine” that transforms fuel into power. Specialized algorithms, as the core driving force of military intelligence, are the key link in realizing the transformation of data into knowledge, knowledge into decision-making, and decision-making into combat effectiveness. In intelligent warfare, the quality of algorithms directly determines the reaction speed, decision-making accuracy, and combat effectiveness of the combat system, becoming the engine of intelligent transformation in the military field.

The core advantage of algorithms lies in reconstructing the operational chain and achieving rapid iteration of the OODA loop. In traditional warfare, the chain of observation, judgment, decision-making, and action is lengthy and often struggles to adapt to rapidly changing battlefield situations due to limitations in human processing capabilities. Intelligent algorithms, however, can leverage machine learning, deep learning, and other technologies to process massive amounts of operational data in seconds, perform real-time analysis, and uncover patterns, significantly shortening the decision-making cycle. In simulation tests, foreign military AI command systems generated multiple complete operational plans in a very short time, demonstrating response speed and decision-making efficiency far exceeding that of human command teams, fully showcasing the enormous advantages of algorithms in accelerating the decision-making process. In combat operations, algorithms can span the entire chain, from reconnaissance and perception, command and decision-making, fire strikes, and effect assessment, constructing an autonomous, closed-loop “kill chain.” From target identification to threat ranking, from plan generation to fire allocation, from strike implementation to damage assessment, algorithms can autonomously complete a series of complex tasks, achieving a “detect and destroy” operational effect.

Enhancing the practical application effectiveness of algorithms requires strengthening technological innovation and scenario empowerment. In terms of technological innovation, it is essential to keep pace with the development trends of artificial intelligence and accelerate the military application transformation of cutting-edge algorithms. Focusing on emerging technologies such as generative AI, neuromorphic computing, and brain-computer interfaces, we should explore pathways for the deep integration of algorithms with military needs. Regarding scenario empowerment, we must build diverse typical scenarios for algorithms based on actual combat requirements, develop specialized algorithms for target recognition, situational assessment, and virtual training, overcome bottlenecks in information processing in complex electromagnetic environments, promote the modularization and lightweight transformation of algorithms, and rapidly integrate them with command and control systems and unmanned equipment systems. This will allow algorithms to continuously iterate and optimize in specific tasks within typical scenarios, transforming algorithmic advantages into practical combat capabilities.

Strengthening algorithm security is crucial for ensuring the steady and sustainable development of intelligent transformation. While algorithms enhance combat effectiveness, they also face security risks such as tampering, deception, and misuse, potentially leading to serious consequences like “algorithmic runaway.” It is essential to establish an algorithm security review mechanism to conduct full-process security assessments of algorithm models in military intelligent systems, focusing on their reliability, transparency, and controllability to prevent algorithmic bias and logical vulnerabilities. Strengthening the research and development of algorithmic countermeasures technologies is also vital. This involves improving the anti-interference and anti-attack capabilities of our own algorithms while mastering techniques to interfere with and deceive enemy algorithms, thus gaining the initiative in algorithmic confrontation. Simultaneously, it is crucial to emphasize algorithmic ethics, clearly defining the boundaries and rules of algorithm application to ensure that algorithm development and use comply with international laws and ethical standards, avoiding any violations of war ethics.

Supercomputing Power: The “Digital Energy” for Intelligent Transformation

Computing power is the fundamental capability supporting data processing and algorithm execution, much like the “energy support” for intelligent systems. In the transformation towards military intelligence, the explosive growth of data and the increasing complexity of algorithms have placed unprecedented demands on computing power. The scale, speed, and reliability of supercomputing power directly determine the operational efficiency and combat effectiveness of military intelligent systems, becoming the driving force behind the intelligent transformation of the military field.

The core role of computing power lies in overcoming performance bottlenecks and supporting the efficient operation of complex intelligent tasks. The demand for computing power in intelligent warfare exhibits an “exponential growth” characteristic: an advanced AI command system needs to run thousands of algorithm models simultaneously when processing battlefield data across the entire domain; a swarm of drones performing collaborative combat missions requires real-time interaction and decision-making calculations involving massive amounts of data; a large-scale virtual combat training exercise needs to simulate the interactive behaviors of tens or even hundreds of thousands of combat units. The completion of these complex tasks is inseparable from powerful computing power. Without sufficient computing power, even the highest quality data cannot be processed quickly, and even the most advanced algorithms cannot operate effectively. Currently, computing power has become a crucial indicator for measuring the level of military intelligence; whoever possesses stronger computing power holds the initiative in intelligent warfare.

Building a computing power system adapted to the needs of intelligent transformation requires creating a collaborative computing power layout across the cloud, edge, and terminal. In the cloud, distributed cloud computing centers need to be constructed to build a computing power foundation that covers the entire domain and is elastically scalable. Relying on infrastructure such as big data centers and supercomputing centers, various computing resources should be integrated to form a large-scale, intensive computing power supply capability. At the edge, computing power should be deployed more readily, enhancing the autonomous computing capabilities of the battlefield. For special scenarios such as forward positions, naval vessels, and air platforms, miniaturized, low-power, and highly reliable edge computing nodes should be developed to transfer some computing tasks from the cloud to the edge. This reduces reliance on communication links and data transmission latency, and ensures that combat units can autonomously complete basic tasks such as target identification, path planning, and coordination even in extreme environments such as communication interruptions or signal blackouts, thus improving the system’s survivability. At the terminal, the built-in computing power of equipment should be strengthened to improve the intelligence level of individual combat platforms. By embedding high-performance AI chips into platforms such as drones, unmanned vehicles, and missile weapons, equipment is endowed with the ability to autonomously perceive, make decisions, and act, making it an intelligent unit with independent combat capabilities and laying the foundation for cluster collaboration and system-on-system confrontation.

Enhancing the combat readiness of computing power support requires strengthening technological innovation and security protection. In terms of technological innovation, it is crucial to keep pace with the development trends of computing power technology and accelerate the military application of new computing technologies. Focusing on cutting-edge areas such as quantum computing, photonic computing, and neuromorphic computing, we must break through the performance bottlenecks of traditional computing architectures and develop disruptive new computing power equipment. Simultaneously, we must strengthen the construction of computing power networks, building high-bandwidth, low-latency, and interference-resistant computing power transmission networks. By integrating technologies such as 5G, 6G, and satellite communication, we can ensure computing power collaboration and data interaction between the cloud, edge, and terminals, achieving seamless connection and efficient scheduling of computing power resources. In terms of security protection, we must establish a computing power security system to prevent the risks of attacks, hijacking, and misuse of computing power resources. By adopting technologies such as encrypted computing and trusted computing, we can ensure the security and privacy of data during the computing process; strengthen the physical and network protection of computing power facilities, and build a multi-layered, all-round protective barrier to ensure that the computing power system can operate stably in wartime and is not subject to enemy interference or damage.

現代國語:

戰爭形態正加速向智慧化演進,軍事領域的智慧轉型絕非單純的技術疊加,而是以數據、演算法、算力為核心支撐的體系性變革,三者相互賦能、有機融合,構成了新型戰鬥力生成的技術基礎。加速軍事領域智慧化發展進程,應深刻掌握智慧轉型的技術邏輯,夯實數據基石、啟動演算法引擎、做強力支撐,為打贏未來智慧化戰爭提供堅實保障。

作戰數據:智慧轉型的“數位基石”

數據是智慧化的“血液”,沒有高品質、大規模、多維度的作戰數據積累,軍事智慧轉型就會成為無源之水、無本之木。在智慧化戰爭中,戰場感知、指揮決策、作戰行動等全連結活動,本質上都是資料的產生、流轉、處理與應用過程。作戰數據的完備性、準確性和時效性,直接決定了智慧系統的感知精度、決策速度和打擊準度,是軍事領域智慧轉型不可或缺的基石。

作戰資料的核心價值在於打破“戰爭迷霧”,實現從經驗驅動到數據驅動的轉變。在傳統戰爭中,指揮官主要依賴戰場偵察、情報研判和實戰經驗來做出決策,受限於資訊獲取的廣度和深度,決策往往帶有一定的主觀性和限制。而在智慧化戰爭時代,一架偵察無人機每秒可傳回5GB影像數據,衛星網路時刻追蹤成千上萬個地面目標,戰場數據生成速率呈幾何級數增長。這些來自陸、海、空、天、網、電、心理等多域的作戰數據,經過規範化處理和深度挖掘後,能夠建構起全局透明的戰場態勢,為指揮官提供精準決策支撐。

建構全域覆蓋的作戰資料資源體系,需要抓好全生命週期治理的關鍵環節。在資料擷取環節,要立足全域作戰需求,拓寬資料來源管道,實現傳統空間與新域空間的資料全覆蓋。傳統空間要聚焦陸戰場、海戰場、空戰場等傳統領域,精準採集兵力部署、裝備性能、地形地形等資料;新域空間要向太空、深海、極地、網路空間等領域延伸,重點收集太空目標軌跡、深海環境參數、網路空間態勢等資料。在資料融合處理環節,要建立統一的資料標準體系,解決「一數多值」「格式不一」等突出問題,實現不同來源、不同類型資料的互聯互通。在資料共享環節,要健全跨域共享機制,建立分級分類共享規則,打破軍種壁壘、部門界限和網路隔離,建構「無所不在、無所不含、無所不聯」的數據共享環境,實現數據資源的最大化利用。

發揮作戰數據的戰鬥力倍增效應,關鍵在於培育數據思維與建強專業隊伍。數據思維是啟動數據價值的前提,要引導官兵養成「用數據思考、用數據說話、用數據管理、用數據決策」的行為習慣,摒棄憑經驗、靠直覺的傳統思維模式。在作戰籌劃中,要以數據為依據進行量化分析;在訓練評估中,要以數據為標準進行精準衡量;在裝備研發中,要以數據為支撐進行迭代優化。同時,要著力建構專業化的資料人才隊伍,明確各環節職務職責,貫通從資料產生到資料運用的全流程連結。透過院校培養、職缺歷練、專案訓練等多種方式,提升官兵資料收集、處理、分析、運用的專業技能,打造一支既懂軍事業務又通資料技術的複合型人才隊伍,為資料價值釋放提供人才支撐。

專業演算法:智慧轉型的“數位引擎”

如果說數據是智慧化的“燃料”,那麼演算法就是將燃料轉化為動力的“引擎”。專業演算法作為軍事智慧的核心驅動力,是實現數據向知識、知識向決策、決策轉化為戰鬥力的關鍵環節。在智慧化戰爭中,演算法的優劣直接決定了作戰體系的反應速度、決策精準度和對抗效能,成為軍事領域智慧轉型的引擎。

演算法的核心優勢在於重構作戰鏈路,實現OODA循環的極速迭代。傳統作戰中,觀察、判斷、決策、行動的連結較長,受限於人工處理能力,往往難以適應瞬息萬變的戰場態勢。而智慧演算法能夠依賴機器學習、深度學習等技術,對海量作戰資料進行秒級處理、即時分析與規律挖掘,大幅縮短決策週期。外軍AI軍事指揮系統在模擬測試中,僅用很短時間就生成多套完整作戰方案,響應速度和決策效率遠超人類指揮團隊,充分展現了演算法在加速決策流程中的巨大優勢。在作戰行動中,演算法能夠貫穿偵察感知、指揮決策、火力打擊、效果評估等全鏈路,建構自主閉環的「殺傷鏈」。從目標識別到威脅排序,從方案生成到火力分配,從打擊實施到毀傷評估,演算法能夠自主完成一系列複雜任務,實現「發現即摧毀」的作戰效果。

提升演算法的實戰應用效能,需要強化技術創新與場景賦能。在技​​術創新方面,要緊跟人工智慧發展趨勢,加速前沿演算法的軍事應用轉換。聚焦生成式AI、神經形態運算、腦機介面等新技術方向,探索演算法與軍事需求的深度融合路徑。在場景賦能方面,要立足實戰需求建構多元演算法典型場景,研發目標辨識、態勢研判、虛擬訓練等專用演算法,突破複雜電磁環境資訊處理瓶頸,推動演算法模組化、輕量化改造,與指揮控制系統、無人裝備系統快速整合,讓演算法在典型場景具體任務中不斷迭代優化,讓優勢轉化為最佳化演算法。

築牢演算法安全防線,是確保智慧轉型行穩致遠的重要保障。演算法在帶來作戰效能提升的同時,也面臨被竄改、被欺騙、被濫用等安全風險,甚至可能出現「演算法失控」的嚴重後果。要建立演算法安全審查機制,對軍事智慧系統中的演算法模型進行全流程安全評估,重點在於審查演算法的可靠性、透明度和可控性,防止演算法偏見、邏輯漏洞等問題。加強演算法對抗技術研發,既要提升己方演算法的抗干擾、抗攻擊能力,也要掌握幹擾、欺騙敵方演算法的技術手段,在演算法對抗中佔據主動。同時,要注重演算法倫理建設,明確演算法應用的邊界和規則,確保演算法的研發和使用符合國際法律和倫理標準,避免違反戰爭倫理的情況。

超智算力:智慧轉型的“數位能量”

算力是支撐資料處理和演算法運作的基礎能力,如同智慧化體系的「能量支撐」。在軍事智慧轉型中,數據的爆炸性成長和演算法的複雜化發展,對算力提出了前所未有的高要求。超智算力的規模、速度和可靠性,直接決定了軍事智慧系統的運作效率和實戰效能,成為軍事領域智慧轉型的動力系統。

算力的核心作用在於突破性能瓶頸,支撐複雜智慧任務的高效運作。智慧化戰爭對算力的需求呈現出「指數級增長」特徵:一套先進的AI指揮系統,在處理全局戰場數據時,需要同時運行數千個演算法模型;一支無人機蜂群在執行協同作戰任務時,需要實時進行海量數據交互和決策計算;一次大規模的虛擬對抗訓練,需要模擬數萬甚至數十萬作戰單元的互動行為。這些複雜任務的完成,離不開強大的算力支撐。沒有足夠的算力,再優質的數據也無法快速處理,再先進的演算法也無法有效運作。目前,算力已成為衡量軍事智慧化程度的重要指標,誰掌握了更強的算力,誰就掌握了智慧對抗的主動權。

建構適應智慧轉型需求的算力體系,需要打造「雲端端」協同的算力佈局。在雲端,要建置分散式雲算力中心,建構覆蓋全域、彈性伸縮的算力基座。依託大資料中心、超級運算中心等基礎設施,整合各類運算資源,形成規模化、集約化的算力供給能力。在邊端,要推進算力下沉部署,提升戰場末端的自主運算能力。針對前線陣地、海上艦艇、空中平台等特殊場景,研發小型化、低功耗、高可靠的邊緣運算節點,將部分運算任務從雲端轉移至邊緣端。這樣既可以降低對通訊鏈路的依賴,減少資料傳輸延遲,又能在通訊中斷或訊號黑障等極端環境下,保障作戰單元自主完成目標辨識、路徑規劃、協同配合等基本任務,提升體系生存能力。在終端,要強化裝備內置算力,提升單一作戰平台的智慧等級。透過在無人機、無人車、飛彈武器等平台中嵌入高性能AI晶片,賦予裝備自主感知、自主決策、自主行動的能力,使其成為具備獨立作戰能力的智慧單元,為集群協同和體系對抗奠定基礎。

提升算力保障的實戰化水平,需要強化技術創新與安全防護。在技​​術創新方面,要緊跟算力技術發展趨勢,加速新型計算技術的軍事應用。聚焦量子運算、光子運算、神經形態運算等前沿方向,突破傳統運算架構的效能瓶頸,研發具有顛覆性的新型算力裝備。同時,要加強算力網路建設,建構高頻寬、低時延、抗干擾的算力傳輸網路。透過融合5G、6G、衛星通訊等技術,確保雲端、邊端、終端之間的算力協同與資料交互,實現算力資源的無縫銜接與高效調度。在安全防護方面,要建立算力安全保障體系,防範算力資源被攻擊、被劫持、被濫用的風險。透過採用加密運算、可信任運算等技術,確保資料在運算過程中的安全性和隱私性;加強算力設施的實體防護和網路防護,建構多層次、全方位的防護屏障,確保算力系統在戰時能夠穩定運行,不受敵方幹擾破壞。 (李建平、紀鳳珠、趙輓)

2025年12月30日09 | 資料來源:解放軍報

中國原創軍事資源:https://military.people.com.cn/n1/2025/1230/c1011-40688835461.html

A Look at Chinese Intelligent Warfare | “Order Dispatch”: A New Style of Precision Strike

中國情報戰概覽 | 「命令派遣」:一種新型的精確打擊方式

現代英語:

“Order Dispatch”: Precise Targeting of New Patterns

  introduction

  As Lenin said, “Without understanding the times, one cannot understand war.” In recent years, the widespread application of information and intelligent technologies in the military field has promoted the deep integration of technology and tactics. Relying on intelligent network information systems, it has given rise to “order-based” precision strikes. Commanders and command organs can generate strike requirements in a formatted manner according to combat missions. The decision-making system intelligently matches strike platforms, autonomously plans action paths, and scientifically selects strike methods based on personalized requirements such as strike time, operational space, and damage indicators, thereby rapidly and accurately releasing strike effectiveness.

  The operational characteristics of “order dispatch” type precision strike

  As the informatization and intelligence of weapons and ammunition continue to improve, the cost of modern warfare is also constantly increasing. How to achieve the highest cost-effectiveness ratio with limited strike resources and maximize combat effectiveness has become a central issue for commanders and command organs in operational planning. “Order-based” precision strikes can provide a “feasible solution” for this.

  Real-time, precise, and targeted strikes. Modern warfare places greater emphasis on structurally disrupting enemy operational systems, achieving operational objectives through the rapid and precise release of combat effectiveness. This requires commanders and command organs to seize fleeting “windows of opportunity” to strike high-value, nodal, and critical targets within an enemy’s operational system before the enemy can react. The traditional “detection-guided-strike-assessment” operational loop is time-consuming and ineffective. Therefore, “order-based” precision strikes rely on advanced intelligent network information systems, without pre-determining strike platforms. Target lists are released in real-time, and auxiliary decision-making systems rapidly assess the strike performance of various weapon platforms and the expected damage to targets. Tasks are autonomously allocated to strike platforms, rapidly linking and controlling multi-domain firepower, autonomously closing the kill chain, and conducting rapid strikes against key targets.

  Multi-domain coordinated strike. The advantage of modern precision strike over traditional firepower lies in its information-based and intelligent combat system. It requires no human intervention and autonomously completes tasks such as reconnaissance, control, strike, and assessment based on a closed strike chain. This not only saves strike costs and reduces resource waste but also enables adaptive coordination based on unified operational standards. Therefore, “order-based” precision strikes require firepower forces distributed across various operational domains to establish a unified standard grid. Once a demand is issued from one point, multiple points can respond and coordinate globally, flexibly concentrating forces and firepower, using multiple means to rapidly and multi-domain convergence, and determining the strike direction, sequence, and method for each strike platform while on the move. Through system integration, time is effectively saved, enabling multi-domain precision strikes against key enemy nodes and critical parts of core targets, fully leveraging the combined power of the integrated combat effectiveness of various operational units.

  The key to victory lies in swift and decisive action. Modern warfare is a “hybrid war” conducted simultaneously across multiple domains, where the interplay and confrontation of new domains and new types of forces, such as information, aerospace, and artificial intelligence, are becoming increasingly pronounced. This necessitates that both sides be able to detect and act faster than the enemy, crippling their operational systems and reducing their operational efficiency. On the one hand, it is crucial to pinpoint key nodes in the enemy’s system and launch timely and precise strikes; on the other hand, it is essential to conceal one’s own intentions and strike forces, striking swiftly and unexpectedly. “Order-based” precision strikes perfectly meet these two requirements. Supported by network information systems, they intelligently integrate firepower from various domains, achieving multi-source information perception, data interconnection, and multi-domain coordinated strikes. This enables seamless and high-speed operation of “target perception—decision and command—firepower strike—damage assessment,” resulting in a high degree of information and firepower integration and the rapid achievement of operational objectives.

  The system of “order dispatch” type precision strike

  ”Order dispatch” precision strikes compress action time and improve strike effectiveness by building an efficient closed strike chain, enabling various fire strike platforms to better integrate into the joint fire strike system and provide rapid and accurate battlefield fire support. Its key lies in the “network” and its focus is on the “four” systems.

  Multi-domain platform access network. Supported by information and intelligent technologies, an integrated information network system with satellite communication as the backbone is established. Firepower strike platforms distributed across multiple domain battlefields are integrated into the combat network to create a battlefield “cloud.” Different combat modules are distinguished, and “sub-network clouds” such as “reconnaissance, control, strike, and assessment” are established. Relying on an integrated communication network, the “sub-network clouds” are linked to the “cloud.” This can enhance the firepower strike platform’s capabilities in all domains, all times, on the move, autonomous networking, and spectrum planning, and realize network interconnection between firepower platforms, domain combat systems, and joint combat systems, as well as the interconnection and interoperability of internal strike forces.

  Joint reconnaissance and sensing system. This system leverages various reconnaissance and surveillance forces within the joint operations system to achieve all-weather, multi-directional, and high-precision battlefield awareness of the operational area. This requires constructing a ubiquitous, multi-dimensional reconnaissance and sensing force system encompassing physical and logical spaces, tangible and intangible spaces. It involves widely deploying intelligent sensing devices to form an intelligence data “cloud.” Through this intelligence data “cloud,” the system analyzes the enemy situation, identifies key points in the enemy’s operational system and time-sensitive targets, updates reconnaissance information in real time, and displays target dynamics.

  Intelligent Command and Decision-Making System. Relying on a new command and control system with certain intelligent control capabilities, this system constructs various planning and analysis models, expands functions such as intelligent intelligence processing, intelligent mission planning, automatic command generation, and precise action control, and expands and improves databases such as target feature database, decision-making knowledge base, and action plan database. It strengthens the system support capabilities for mission planning, action decision-making, and control during combat organization and implementation, enhances planning and decision-making and combat action control capabilities, clarifies “how to fight, where to fight, and who will fight,” and achieves precise “order dispatch.”

  Distributed fire strike system. Relying on intelligent network information systems, on the one hand, it integrates multi-dimensional fire strike platforms across land, sea, air, and space, enhancing functions such as intelligent target identification and remote-controlled strike, enabling various combat modes such as remote-controlled operations, manned-unmanned collaborative operations, and flexible mobile operations; on the other hand, it can construct a low-cost fire strike platform mainly composed of low-altitude and ultra-low-altitude unmanned strike platforms such as racing drones and loitering munitions. By adding different functional combat payloads, it can closely coordinate with high-end fire strike platforms to carry out tasks such as battlefield guidance, precision strikes, and fire assessment, efficiently completing “orders”.

  Autonomous Damage Assessment System. This system, built upon reconnaissance and surveillance capabilities within the joint operations system, autonomously assesses the effectiveness of attacks on targets after the firepower platform has completed its strike. It conducts real-time, dynamic, objective, and systematic analysis and evaluation of the target’s external condition and degree of functional loss, and promptly transmits relevant information back to decision-making and command centers at all levels via video images. The assessment centers then determine “how well it went” and whether the expected damage requirements were met. If not, operational actions can be adjusted in a timely manner for supplementary strikes, providing strong support for maximizing operational effectiveness.

  The planning and implementation of “order dispatch” style precision strikes

  The “order dispatch” style of precision strike is similar to the operation of ride-hailing services. Through a series of processes such as formatted “order” generation, intelligent target matching, and autonomous route planning, it autonomously completes the “OODA” combat cycle, making its actions more efficient, its strikes more precise, and its collaboration closer.

  Real-time reporting of firepower requirements allows combat units to submit orders on demand. Reconnaissance elements distributed across different operational areas and multi-dimensional battlefield spaces are acquired through radar, optical, infrared, and technical reconnaissance methods, forming battlefield target intelligence information across a wide area and multiple sources. This information is transmitted to the battlefield information network via intelligence links, and is constantly relayed to combat units. Combat units then perform correlation processing, multi-source comparison and verification, and comprehensively compile battlefield target information to generate precise mission orders. Combat units analyze target value and connect to the decision-making platform as needed, constructing a closed-loop strike chain based on these orders, and submitting mission orders in real time, achieving dynamic optimization and precise adaptation.

  The decision-making center intelligently “dispatches” fire support missions, differentiating them from actual fire strike missions. Through the battlefield information network and relying on an intelligent mission planning system, the center can automatically analyze the mission “order” information data submitted by combat units. Based on the nature, coordinates, movement status, and threat level of battlefield targets, it automatically generates mission requirements such as the type and quantity of ammunition needed for fire strike operations, the strike method, and damage indicators, forming a fire support mission “order.” By intelligently matching the optimal fire support platform and connecting link nodes as needed, the center conducts intelligent command-based “order dispatch,” delivering the orders instantly to the standby fire support platforms.

  Optimal target matching is performed continuously, and firepower platforms swiftly “accept orders.” Multiple firepower platforms distributed across the battlefield respond rapidly to these orders via the battlefield information network. The platforms autonomously establish links with combat units, mutually verifying their identities before directly establishing a guided strike chain. They coordinate firepower strikes, adjusting strike methods and firing parameters in a timely manner based on target damage and battlefield target dynamics before conducting further strikes until the assigned mission is completed. Firepower platforms consistently adhere to the principle of “strike-relocate-strike-relocate,” completing strike missions and rapidly relocating to new positions, maintaining a state of constant readiness and receiving orders online in real time. After the mission concludes, the guided strike chain between the firepower platform and the combat unit is automatically terminated.

  Multi-source damage information acquisition and real-time assessment by the evaluation center. Utilizing a comprehensive range of long-range, intelligent, and information-based reconnaissance methods, including satellite, radar, and drone reconnaissance, multi-domain, three-dimensional reconnaissance is conducted to acquire real-time target fire damage information, providing accurate assessments for precision fire strikes. A comprehensive assessment of damage effects is performed, quantitatively and qualitatively evaluating the strike results, distinguishing between physical, functional, and systemic damage states, and promptly feeding back to the decision-making center. Based on the damage assessment results, timely adjustment suggestions are made to modify fire strike plans, optimize operational actions, and achieve precise control of fire strikes. This facilitates commanders’ accurate control of the operational process and efficient command and control of fire strike effectiveness.

現代國語:

「訂單派單」:精確打擊新樣式

引言

列寧說過,「不理解時代,就不能理解戰爭」。近年來,資訊化智慧化技術在軍事領域的廣泛運用,促進了技術與戰術深度融合,依托智能化網路資訊體系,催生出「訂單派單」式精確打擊。指揮及指揮機關可依據作戰任務格式化產生打擊清單需求,決策系統依據打擊時間、作戰空間、毀傷指標等個人化需求智慧匹配打擊平台、自主規劃行動路徑、科學選擇打擊方式,進而快速精準釋放打擊效能。

「訂單派單」式精準打擊的作戰特點

隨著武器彈藥資訊化智慧化程度不斷提升,現代作戰成本也不斷提高。如何運用有限打擊資源打出最高效費比,實現作戰效能最大化,已成為指揮員及指揮機關作戰籌劃的中心問題,「訂單派單」式精準打擊可為此提供「可行解」。

即時聚優精確釋能。現代作戰更強調對敵作戰體系進行結構性打擊破壞,透過快速且精準地釋放作戰效能來實現作戰目的。這就要求指揮官及指揮機關能夠抓住稍縱即逝時機的“窗口”,在敵未做出反應之時對其作戰體系內高價值、節點性、關鍵性目標實施打擊。傳統的「發現—引導—打擊—評估」的作戰環路耗時長,作戰效果不佳。因此,「訂單派單」式精確打擊,需要依托先進的智慧化網路資訊體系,不預先確定打擊平台,即時發布打擊目標清單,由輔助決策系統對各種武器平台的打擊性能與目標打擊毀傷預期等進行快速評估,自主分配打擊平台任務,快速連結調控多領域火力打擊力量,自主閉合殺傷鏈,對關鍵目標實施快速打擊。

多域聚能協同打擊。現代作戰精準打擊較以往火力打擊的優勢在於資訊化智能化的作戰體系,不需人工介入,依托閉合打擊鏈自主完成「偵、控、打、評」等任務,不僅能夠節省打擊成本,減少資源浪費,還能夠實現基於統一作戰標準的自適應協同。因此,「訂單派單」式精確打擊,需要分佈在各作戰領域的火力打擊力量能夠建立統一標準網格,只要一點發出需求,就能夠多點響應、全局聯動,靈活集中兵力、火力,多手段、快速多域聚能,動中確定各打擊平台打擊方向、打擊次序以及打擊方式。透過體系整合有效節約時間,對敵關鍵節點目標以及核心目標的關鍵部位實施多域精確打擊,充分發揮各作戰單元作戰效能疊加融合的整體威力。

擊要破體速戰速決。現代作戰是在多領域同步實施的“混合戰爭”,資訊、空天、智慧等新域新質力量交織影響、對抗更加明顯。這就需要作戰雙方能夠快敵一秒發現、快敵一步行動,毀癱敵作戰體系、降低敵體系運作效率。一方面,要透過找準敵體系節點,即時聚優精準打擊;另一方面,要隱藏己方企圖及打擊力量,乘敵不備快速打擊。 「訂單派單」式精確打擊能夠很好地契合這兩點需求,在網路資訊系統的支撐下,智慧融合各領域火力打擊力量,實現資訊多源感知、數據交鍊、多域協同打擊,實現「目標感知—決策指揮—火力打擊—毀傷評估」無縫高速運轉,資訊火力高度融合,快速達成作戰目的。

「訂單派單」式精確打擊的體系構成

“訂單派單”式精確打擊通過構建高效閉合打擊鏈,壓縮行動時間,提高打擊效果,使各火力打擊平台能夠更好地融入聯合火力打擊體系,並提供快速精準的戰場火力支援,其關鍵在“網”,重點在“四個”系統。

多領域平台接入網。在資訊化智慧化技術支撐下,建立以衛星通訊為骨幹的一體化資訊網系,將分佈在多維域戰場的火力打擊平台融入作戰網路建立戰場“雲”,區分不同作戰模組,建立“偵、控、打、評”等“子網雲”,並依託一體化的通訊網鏈將“子網雲”鏈入“雲端”,能夠提升火力打擊平台全局全時、動中接入、自主組網、頻譜規劃的能力,實現火力平台、分域作戰體系與聯合作戰體系的網絡互聯,以及內部打擊力量的互聯互通。

聯合偵察感知系統。依托聯合作戰體系內的各種偵察監視力量對作戰地域進行全天候、多方位、高精度戰場感知。這就要建構物理空間和邏輯空間、有形空間和無形空間泛在存在的全維域偵察感知力量系統,廣域佈設智能感知設備,形成情報數據“雲”,通過情報數據“雲”分析敵情態勢,找出敵作戰體系關鍵點以及時敏性目標,實時更新偵察信息,展現目標動態。

智能指揮決策系統。依托具備一定智能控制能力的新型指控系統,建構各類規劃分析模型,擴展情報智能處理、任務智能規劃、指令自動生成、行動精確控制等功能,擴充完善目標特徵庫、決策知識庫、行動預案庫等資料庫,強化戰鬥組織與實施過程中的任務規劃、行動決策和控制的系統支撐能力,提昇決定決策和戰鬥能力,明確怎麼打」。

分佈火力打擊系統。依托智慧網路資訊系統,一方面,融入陸、海、空、天等多維域火力打擊平台,強化目標智慧識別、遠程遙控打擊等功能,實現作戰單元遠程遙控作戰、有人無人協同作戰、靈活機動作戰等多種作戰方式;另一方面,可建構以穿越機、巡飛彈等低空超低空無人打擊平台為主的低成本火力打擊平台,透過加掛不同功能作戰載重,與高端火力打擊平台密切協同來實施戰場引導、精確打擊、火力評估等任務,高效完成「訂單」。

自主毀傷評估系統。依托聯合作戰體系內的偵察監視力量建構毀傷評估系統,在火力平台打擊完畢後,自主對目標實施打擊效果查核。主要就目標的外觀狀態、功能喪失程度等進行實時、動態、客觀、系統的分析和評估,並及時通過視頻圖像的方式將相關信息回傳至各級決策指揮中心,由評估中心判斷“打得怎麼樣”,是否達到預期毀傷要求。如不符合,可適時調控作戰行動,進行補充打擊,為最大限度釋放作戰效能提供強力支撐。

「訂單派單」式精確打擊的規劃實施

「訂單派單」式精準打擊就如同叫車的運作方式一樣,透過格式化「訂單」產生、智慧化物件配對、自主化路徑規劃等一系列流程,自主完成「OODA」作戰循環,其行動更為高效、打擊更為精準、協同更為密切。

即時提報火力需求,作戰單元按需「提單」。分佈在不同作戰地域、多維戰場空間的偵察要素,透過雷達、光學、紅外線和技術偵察等方式,廣域多源偵獲形成戰場目標情報資訊。這些資訊依托情報鏈路接入戰場資訊網,隨時隨地被傳至作戰單元,由作戰單元進行關聯處理、多方對比印證,綜合整編戰場目標訊息,產生精確的任務「訂單」。作戰單元分析目標價值按需連通決策平台,建構“訂單”式閉合打擊鏈,實時提報任務“訂單”,實現動中集優、精準適配。

區分火力打擊任務,決策中心智能「派單」。決策中心透過戰場資訊網,依托智能任務規劃系統,能夠自動解析作戰單元提報的任務「訂單」資訊數據,根據戰場目標性質、座標方位、移動狀態、威脅程度等,自動產生火力打擊行動所需彈種彈量、打擊方式和毀傷指標等任務要求,形成火力支援任務「訂單」,透過智慧服務火力平台,按需使用火力平台節點,按需通路,支援任務「訂單」。

全時匹配最優目標,火力平台迅即「接單」。多點分佈在戰場區域內的火力平台,透過戰場資訊網迅即響應“接單”,火力平台與作戰單元之間自主建鏈,相互核驗“身份”後直接建立引導打擊鏈,協同配合火力打擊行動,並根據打擊後目標毀傷情況以及戰場目標動態,及時調整打擊方式、射擊參數等,而後再次實施火力打擊,直至完成“派單”任務。火力平台始終遵循「打擊—轉移—打擊—轉移」的原則,完成打擊任務,迅即轉移陣地,全時保持待戰狀態,即時在線接收「訂單」。任務結束後,火力平台與作戰單元之間的引導打擊鏈會自動取消。

多源獲取毀傷訊息,評估中心即時「評單」。綜合運用衛星偵察、雷達偵察、無人機偵察等遠距離資訊化智慧化偵察手段,實施多域立體偵察,即時取得目標的火力毀傷訊息,為進行精確火力打擊提供準確評估。綜合判定毀傷效果,對打擊效果進行定量和定性評估,區分目標物理、功能和系統三種毀傷狀態,及時回饋至決策中心。根據打擊目標的毀傷評估結果,適時提出調控建議,調整火力打擊計劃,優化作戰行動,實現對火力打擊的精確控制,便於指揮員精準把控作戰進程,達成對火力打擊效能的高效指揮控制。 (高凱 陳良)

中國原創軍事資源:https://www.news.cn/milpro/20250123/8f71783cff6a4284a43871e996bc31888a7/c.html

Research on Chinese Military Affairs, Studying War丨Brief Analysis of China’s Winning Mechanisms of Intelligent Warfare

研究中國軍事,研究戰爭丨中國智慧化戰爭制勝機制淺析

現代英語:

President Xi pointed out that the core of studying combat issues is to clarify the characteristic rules and winning mechanisms of modern warfare. In today’s world, major changes unseen in a century are accelerating. Disruptive technologies represented by artificial intelligence are developing rapidly and widely used in the military field, accelerating the evolution of war forms towards intelligence. The corresponding war winning mechanism is also changing. “ Victory tends to smile at those who can foresee changes in the characteristics of war, rather than at those who wait for changes to occur before adapting”. Only by discovering changes in a timely manner, proactively responding to changes, and actively adapting to changes can we better grasp the initiative in future wars and remain invincible in future wars.

Outwitted

In the “intelligent warfare confrontation”, human intelligence has widely penetrated into the combat field and been transplanted into weapon systems. Global multi-dimensional and various types of intelligent combat platforms can quickly couple combat forces, build combat systems according to mission requirements, and independently implement coordinated operations, the mission ends and quickly returns to a state of readiness for war, showing a trend of intelligent autonomy. Whoever possesses the empowerment and gain advantage of intelligent technology in the combat system can design wars, lead the development of the battlefield, master battlefield initiative, and achieve “using wisdom to defeat clumsiness”. First, algorithms, computing power, and data determine system operational capabilities. Relying on intelligent algorithms and powerful computing power, it can quickly and efficiently analyze targets and match resource means, solve high-frequency cross-domain collaboration problems, achieve coordinated planning, parallel actions, and real-time evaluation, and greatly improve system operating speed and strike efficiency. Second, intelligent networks support cross-domain all-in-one action. The intelligent network information system provides basic support and link links for the combat system. Combat units and combat elements in different combat domains can be integrated into the entire combat system at any time “plug and play” to achieve rapid information transmission and sharing. Again, an intelligent weapon platform enables autonomous and flexible strikes. Intelligent technology achieves the organic combination of human strategy and machine’s autonomous perception, autonomous decision-making, and autonomous action by empowering weapon platforms, elements, and forces. Through “software defines the combat system structure and functions, and uses software to empower weapon platforms and ammunition, the platform can independently select and attack targets, and flexibly build a kill chain”.

Gathering is better than scattering

With the support of the “intelligent network information system”, the combat system has become an organic whole with a high degree of autonomous coordination, allowing the overall linkage of combat operations and the operational effectiveness index to be magnified, relying on the overall power of the system to win. First, the multiple elements of information, firepower, military power and cognition are linked together to release energy. With the injection of intelligent factors into the combat system, information, firepower, force and cognition will be given new quality capabilities, and based on the support of intelligent network information systems, software and hardware capabilities will be organically combined and physical and intangible means will be closely integrated to achieve combat effectiveness. maximize. Secondly, the multi-spatial multi-directional linkage of land, sea, air, space, network, electricity and other forces gathers forces to release energy. The seizure and control of battlefield control will rely more on the integrated linkage and cross-domain coordination of multi-domain space operations. By dispersing various combat forces deployed in a vast space, they will immediately gather advantages, forming a multi-domain, multi-directional energy release advantage for dimensionality reduction attacks in one domain, thereby taking control of battlefield initiative. Again, the multi-link linkage of detection, control, and evaluation gathers strength to release energy. Through the “ubiquitous Internet network”, cross-domain response to combat operations, cross-domain sharing of combat information, and cross-domain complementation of combat functions can be realized, and anti-virus networks can be dynamically adjusted or constructed according to the enemy’s circumstances and circumstances to achieve rapid system operation and concentrated energy release.

“Exquisite” is better than coarse

Intelligent warfare must be reasonably invested, effectively regulate combat forces, and be used as a means of warfare to achieve the goal of “refining the rough” and winning at the lowest cost. First, a precise target-information-driven system operates efficiently. Relying on various intelligent sensing platforms covering multi-dimensional and wide-area deployment, it detects and locates obstacles or targets in the battlefield environment. Precisely control the flow, flow, and velocity of information to achieve rational allocation of combat resources, coordinated and orderly combat operations, and precise release of combat energy. Second, precise breaching operations achieve a rapid transition between good and bad. The application of big data, big model analysis algorithms and other technologies can accurately analyze and judge combat systems “weak spots ”“ Achilles’ heel”, accurately guide the use of weapons and high-energy weapons such as lasers and hypersonic speeds, make the choice of precise strike methods more diverse, and can make the enemy Combat systems are instantly disabled. Again, precise strike evaluation supports the optimal superposition of combat effects. The target damage effect is accurately obtained through intelligent channels and means, and the conclusion is revised based on the human-computer interaction evaluation system. The commander can compare, interact, feedback, and correct the damage effect assessment conclusions with the information stored in the system knowledge base and his or her own professional knowledge to achieve the purpose of accurately assessing the impact effect of the target.

Faster than Slow

“The main speed of military intelligence”, the rapid development of military intelligence has greatly improved the speed of information transmission and the accuracy of weapon strikes, greatly reduced the time for reconnaissance and early warning, intelligence processing, command and decision-making, fire strike, and damage assessment, and accelerated “OODA” kill chain Cycle, new rapid-fire weapons such as hypersonic missiles, laser weapons, microwave weapons, and electromagnetic pulse weapons further push the rhythm of war to “instant kill”. Hybrid human-machine decision-making becomes the key to enemy action first. On the one hand, the new model of human-machine hybrid cloud-brain decision-making is based on the intelligent “network, cloud, terminal” system and integrates intelligent battlefield perception, decision-making and weapon control systems to quickly select combat plans and achieve instant decision-making advantages. On the other hand, the speed at which the kill chain is constructed becomes the basic yardstick for system confrontation. Under the empowerment of “intelligent technology”, the acquisition, processing and transmission time of battlefield information is greatly shortened. The intelligent platform uses algorithms to analyze battlefield spatial situations and target information in real time, and the time of the kill chain is shortened to seconds, thus achieving “destroy upon discovery”.

Toughness is better than crispness

War is not only a military contest, but also a competition between the country’s human, material and financial resources. Maintaining the lasting resilience of the combat system has become a key factor affecting the outcome of the operation. First, the large-scale use of low-cost unmanned intelligence platforms has become a completely new way of fighting. Unmanned intelligence platforms, micro-intelligent robot autonomous combat clusters, etc., dispersed to more small and low-cost combat platforms, can enhance the recovery speed and overall penetration of the combat system after damage, and achieve maximum combat benefits at a smaller cost. Secondly, the continued guarantee of intelligent resources becomes the key to the operation of the combat system. Various new weapons and new means such as unmanned combat platforms, intelligent algorithms, and cyber attacks are constantly emerging. Powerful computing power, advanced algorithms, and accurate data support have become the guarantee for the continued and stable operation of the system, and intelligent resources “timely, appropriately, applicable, and appropriately” continue to be effective. Guarantee has become an important influencing factor in the victory of intelligent warfare. Again, the operational system’s requirements for balance of offensive and defensive capabilities are getting higher and higher. The local area network, wide area network and even brain network behind the network and digitalization of the combat system leave room for opponents to launch attacks; the “cloud— network —end” structure of the combat system intelligent network information system, its data center, supercomputing center and other network infrastructure It will also be an important hub for opponents to focus on attacking and destroying.

Heart is better than things

Intelligent warfare is different from traditional warfare in which the main purpose is to eliminate the enemy’s effective power. It will pay more attention to weakening the enemy’s morale, disintegrating the enemy’s will, and destroying the enemy’s psychology. Smart technology has become a new way to influence the minds of all employees at all times. First of all, intelligent new media, new technologies and new means have created new ways for the psychological influence of public opinion. Enhanced consciousness and the development of information editing and other technologies have made the methods of conscious attack and defense more diverse, the methods of confrontation more varied, and the technological content higher. Use “intelligent weapons, intelligent technology and intelligent information struggle methods to carry out information attacks on the enemy, thereby forming psychological deterrence”. Secondly, intelligent and deep interaction makes obtaining data richer and more complete. Technologies such as AI face-changing, holographic projection, and audio-visual synthesis provide new means to implement intelligent manufacturing and confuse facts. Again, smart models, massive amounts of data, and high-performance servers provide new tools for quickly concocting information ammunition. Mental guidance and control can be closely coordinated with military, economic, and diplomatic forces to amplify the deterrent effect, constantly create pressure from public opinion to force the enemy to compromise, form psychological deterrence and make them hesitate to give in, change the enemy’s cognition through differentiation of value identity, and achieve subjugation without fighting.

More than single

The rapid development of science and technology has opened up new space for activities and interests for human society, but new security threats and challenges have followed suit, promoting the corresponding expansion of battlefield space and confrontation fields. Currently, wars are constrained and influenced by many factors such as politics, economy, diplomacy, military, technology, geography, and psychology. Unconventional mixed wars supported by military capabilities have become more intense. The competition space for hybrid warfare has extended to various fields such as politics, economy, diplomacy, culture, and military. It emphasizes the comprehensive use of national strategic resources and strategic tools to achieve traditional war goals and transcend traditional war methods. It has a special status and role. As intelligent technology matures, the threshold for intelligent warfare will show a downward trend. Participating parties may adopt an undeclared war approach to launch a variety of integrated economic warfare, diplomatic warfare, cyber warfare, public opinion warfare, psychological warfare, legal warfare, etc. Mixed warfare, mixed victory means giving priority to politics, economy, diplomacy, etc. on the basis of comparing the advantages and disadvantages of the opponent and one’s own side in all aspects Public opinion and other non-military tools and means that can use strengths and avoid weaknesses, use four taels to move a thousand pounds, pursue “no war” or “less war ”“small war” and subjugate others. As long as we deeply understand and accurately grasp the characteristic rules and operating mechanisms of future hybrid warfare, and creatively use clever and efficient strategic techniques, we can fully achieve the expected strategic results.

現代國語:

羅振華 鑫 言

引 言

習主席指出,研究作戰問題,核心是要把現代戰爭的特點規律和制勝機理搞清楚。當今世界,百年未有之大變局加速演進,以人工智能為代表的顛覆性技術迅猛發展,並廣泛應用於軍事領域,使戰爭形態向智能化加速演變,與之相應的戰爭制勝機理也正在發生嬗變。“勝利往往向那些能預見戰爭特性變化的人微笑,而不是向那些等待變化發生後才去適應的人微笑”。及時發現變化,主動應對變化,積極適應變化,才能夠更好地把握未來戰爭主動權,在未來戰爭中立於不敗之地。

智勝於拙

在智能化戰爭對抗中,人的智能廣泛滲透到作戰領域、移植到武器系統,全域多維、各種類型的智能化作戰平台能夠快速耦合作戰力量,根據任務需求構建作戰體系,自主實施協同作戰,任務結束迅速回歸待戰狀態,呈現智能自主趨勢。誰佔有智能技術對作戰體系的賦能增益優勢,誰就能據此設計戰爭、主導戰局發展,掌握戰場主動,實現“以智制拙”。首先,算法、算力和數據決定體系作戰能力。依托智能算法和強大算力,可以快速高效地分析目標、匹配資源手段,解決高頻次跨域協同難題,實現協調規劃、並行行動、即時評估,大幅提高體系運行速度和打擊效能。其次,智能網絡支撐跨域一體行動。智能網絡信息系統為作戰體系提供基礎支撐和鏈接紐帶,不同作戰域的作戰單元、作戰要素,隨時可“即插即用”融入整個作戰體系,實現信息快速傳遞共享。再次,智能化武器平台實現自主靈活打擊。智能技術通過賦能武器平台、要素和力量,達到人的謀略與機器的自主感知、自主決策、自主行動有機結合。通過軟件定義作戰體系結構和功能,用軟件賦能武器平台和彈藥,可實現平台自主選擇和打擊目標,靈活構建殺傷鏈。

聚勝於散

在智能化網絡信息系統支撐下,作戰體系成為具有高度自主協調力的有機整體,使得作戰行動整體聯動、作戰效能指數級放大,靠系統湧現的整體威力制勝。首先,信息、火力、兵力和認知等多要素聯動聚力釋能。隨著作戰體系注入智能因素,信息、火力、兵力和認知都將賦予新質能力,並基於智能化網絡信息系統的支撐,實現軟硬能力有機復合、有形無形手段緊密融合,達成作戰效能最大化。其次,陸海空天網電等多空間多方向聯動聚力釋能。戰場制權的奪控,將更加依賴多域空間行動的一體聯動和跨域協同,通過分散部署在廣闊空間的各種作戰力量即時聚優,形成多域多向對一域降維打擊的釋能優勢,從而掌握戰場主動。再次,偵控打評等多環節聯動聚力釋能。通過泛在互聯網絡,實現作戰行動跨域響應、作戰信息跨域共享、作戰功能跨域互補,因敵因情因勢動態調整或構建殺傷網,實現體系快速運轉和聚力釋能。

精勝於粗

智能化戰爭必須合理投入、有效調控作戰力量,恰當選用作戰手段,達成“以精制粗”,以最小代價取勝的目的。首先,精准的目標信息驅動體系高效運行。依托覆蓋全域多維、廣域部署的各種智能感知平台,探測、定位戰場環境中的障礙或目標。精確控制信息的流向、流量、流速,實現作戰資源的合理分配、作戰行動的協調有序和作戰能量的精確釋放。其次,精准的破擊行動實現快速優劣轉化。大數據、大模型分析算法等技術的運用,可精確分析判斷作戰體系“軟肋”“死穴”,精確制導武器和激光、高超聲速等高能武器的使用,讓精確打擊的手段選擇更加多樣,可使敵作戰體系瞬時失能。再次,精准的打擊評估支撐作戰效果最優疊加。通過智能化途徑和手段准確獲取目標毀傷效果,依托人機交互評估系統對結論進行修正。指揮員可將毀傷效果評估結論與系統知識庫儲存的信息以及自身專業知識進行比對、交互、反饋、修正,達到精准評估目標打擊效果的目的。

快勝於慢

“兵之情主速”,軍事智能化的飛速發展大大提升了信息傳遞速度和武器打擊精度,大幅縮減了偵察預警、情報處理、指揮決策、火力打擊、毀傷評估的時間,加速“OODA”殺傷鏈循環,高超聲速導彈、激光武器、微波武器、電磁脈沖武器等新型快速殺傷武器進一步將戰爭節奏推向“秒殺”。人機混合決策成為先敵行動的關鍵。一方面,人機混合的雲腦決策的全新模式,以智能“網、雲、端”體系為依托,集智能化戰場感知、決策和武器控制系統於一體,可快速優選作戰方案,實現即時決策優勢。另一方面,殺傷鏈構建速度成為體系對抗的基本衡量標准。在智能技術賦能作用下,戰場信息的獲取、處理和傳輸時間極大縮短,智能平台利用算法可對戰場空間態勢和目標信息實時分析,殺傷鏈的時間縮短至秒級,從而實現“發現即摧毀”。

韌勝於脆

戰爭不但是軍事的較量,更是國家人力物力財力的比拼。保持作戰體系持久韌性,成為影響作戰勝負的關鍵因素。首先,低成本無人智能平台的規模化運用成為全新作戰方式。無人智能平台、微型智能機器人自主作戰集群等,分散到更多小型廉價作戰平台的做法,可增強作戰體系受損後的恢復速度和整體突防力,以較小代價取得最大作戰效益。其次,智能資源的持續保障成為作戰體系運行的關鍵。無人作戰平台、智能算法、網絡攻擊等各種新武器、新手段不斷湧現,強大算力、先進算法和精准數據支撐成為體系持續穩定運行的保證,“適時、適地、適用、適量”的智能資源持續有效保障,成為智能化戰爭制勝的重要影響因素。再次,作戰體系的攻防一體能力平衡性要求越來越高。作戰體系網絡化、數字化背後的局域網、廣域網甚至腦聯網,給對手發起攻擊留下空間;作戰體系的“雲—網—端”結構智能網信系統,其數據中心、超算中心等網絡基礎設施也將是對手重點攻擊破壞的重要樞紐。

心勝於物

智能化戰爭與傳統戰爭中以消滅敵人有生力量為主要目的不同,將更加注重削弱敵方的士氣,瓦解敵方的意志,摧毀敵方的心理。智能科技已成為全時全域影響全員心智的全新方式。首先,智能化的新媒體、新技術和新手段,為輿論心理影響開創了新方式。意識增強、信息編輯等技術的發展,使得意識攻防手段更加多樣、對抗方式更加多變、科技含量更高。運用智能武器、智能技術和智能信息斗爭的方法,對敵實施信息打擊,從而形成心理威懾。其次,智能化的深度互動,使得獲取數據更為豐富,要素更加齊全。AI換臉、全息投影、影音合成等技術,為實施智能制造、混淆事實真相提供了新手段。再次,智能模型、海量數據和高性能服務器,為快速炮制信息彈藥提供了新工具。心智導控可與軍事、經濟、外交密切配合,放大震懾效應,不斷制造輿論壓力迫敵妥協,形成心理震懾使其遲疑退讓,通過價值認同分化改變敵認知,實現不戰而屈人之兵。

多勝於單

科學技術的迅猛發展,為人類社會打開了新的活動空間和利益空間,但新的安全威脅和挑戰也隨之而來,推動了戰場空間和對抗場域的相應拓展。當前,戰爭受到政治、經濟、外交、軍事、技術、地理、心理等諸多因素的制約和影響,以軍事能力為支撐的非常規的混合戰爭反而更加激烈。混合戰爭的角逐空間已經延伸至政治、經濟、外交、文化、軍事等各領域,強調綜合運用國家戰略資源和戰略工具聚合發力,既能夠實現傳統戰爭目標,又能夠超越傳統戰爭手段,地位作用特殊。隨著智能技術的發展成熟,智能化戰爭的門檻將呈現下降趨勢,參戰方可能采取不宣而戰的方式發起融合經濟戰、外交戰、網絡戰、輿論戰、心理戰、法律戰等多種樣式的混合戰爭,混合制勝就是要在對比敵手和己方各方面優勢劣勢的基礎之上,優先選擇政治、經濟、外交、輿論等能揚長避短的非軍事類工具和手段,以四兩撥千斤,追求“不戰”或“少戰”“小戰”而屈人之兵。只要深刻認識和准確把握未來混合戰爭的特點規律、運行機理,創造性地運用巧妙、高效的策略手法,完全能夠達到預期戰略效果。

中國原創軍事資源:http://www.81.cn/yw_208727/16393427.html

Chinese Military Higher Education During an Era of Intelligent Warfare

智慧戰爭時代的中國軍事高等教育

現代英語:

“Military academies were born and built for war”. At the opening ceremony of the 2019 military academy principals training camp, President Xi proposed a new era of military education policy, pointing out the direction for the military academies to cultivate high-quality, professional new military talents. At present, the form of war is accelerating towards informatization and intelligence. What kind of soldiers are needed to win future intelligent wars, and how military higher education can cultivate talents to adapt to intelligent wars are major issues before us.

The war form is accelerating towards intelligence

The form of war is a staged expression and state of war history that is mainly marked by the technical attributes of main battle weapons. So far, after experiencing cold weapon wars, hot weapon wars, and mechanized wars, war forms are accelerating their development towards information-based and intelligent wars. The increasingly widespread application of advanced technologies such as big data, the Internet of Things, artificial intelligence, biotechnology, and brain science in the military field is becoming an important driver of the new military revolution, giving birth to new unmanned, autonomous, and intelligent warfare forms, and changing the traditional The winning mechanism of war. In 2014, a foreign military think tank released a research report titled “War in the 20YY∶ Robot Era”, believing that a storm of military change marked by intelligent armies, autonomous equipment, and unmanned warfare is coming, and it will develop intelligent combat platforms, information systems and decision-making support systems, as well as new weapons such as directional energy, hypersonic speed, bionic, genetic, and nanometer By 2035, an intelligent combat system will be initially built, and by 2050, it will develop to an advanced stage, fully realizing intelligent or even unmanned combat platforms, information systems, and command and control. New weapons such as bionics, genes, and nanometers will enter the battlefield, and combat space will be further expanded. Expand to biological space, nanospatial space, and intelligent space.

In recent years, as people’s research on the human brain continues to deepen, brain-computer interface technology is becoming increasingly mature. In the future, the exchange of information between humans and the external world will no longer be limited to the senses. Direct information exchange between the brain and the outside world can also be achieved through chips. People and people, people and things are fully interconnected, and humans may transcend the Internet and the Internet of Things and enter the intelligent era supported by the Internet of Things. In the era of brain networking, soldiers’ brains are directly connected to combat platforms, information systems, and decision-making support systems. With the assistance of technologies such as quantum computing and cloud platforms, decisions will be made. The targets of attack will expand to human thoughts and actions, matter, energy, information and The mind is integrated. Some domestic experts believe that under the influence of artificial intelligence technology, the winning mechanism of future wars will shift from information-based warfare “information-led, system confrontation, precise strike, joint victory” to intelligent warfare “intelligent-led, autonomous confrontation, traceability Strike, cloud brain victory” transformation, following matter, energy, and information, cloud intelligence that integrates humans and machines becomes the key to determining the outcome of a war. The transformation of this “intelligent war form” is accelerating, and any hesitation may have unimaginable consequences.

However, it should be noted that man is always the most fundamental element, no matter how the war develops. The intelligent war form will promote changes in the functional role of military personnel, and will put forward higher requirements for military personnel’s ability quality. Cognitive ability may surpass knowledge and skills and become the core ability of military personnel.

Intelligent warfare requires military personnel to upgrade and reconstruct their comprehensive quality

According to the “talent growth cycle”, soldiers who are currently receiving higher education will become the main force in military combat training in more than 10 years, and will also become the first main force to meet the challenges of intelligent warfare. At present, our military’s higher education still has some shortcomings in the design of talent training goals. It does not pay enough attention to the ability to adapt to future changes in the intelligent battlefield. There is still a certain gap between talent training goals and the demand for intelligent warfare. On July 23, 2020, when President Xi inspected the Air Force Aviation University, he emphasized the need to adhere to cultivating people with moral integrity, educating people for war, strengthening military spirit education, strengthening the fighting spirit, and comprehensively laying a solid foundation for the ideological and political, military professional, scientific and cultural, and physical and psychological qualities of pilot students. Base. Implementing President Xi’s important instructions and benchmarking against the needs of future intelligent warfare, there is an urgent need to build a higher-level military talent training goal with thinking as the core, and accelerate the upgrading and reconstruction of the comprehensive quality of military personnel.

Intelligent warfare is a complex giant system that integrates multiple fields. Its intelligence-based characteristics and iterative and changeable development trends are changing the role of soldiers in war. Soldiers may gradually move from the front desk of the war to the backstage, from direct face-to-face combat to human-machine coordinated combat, and from front-line charging to back-end planning and design of the war. To be competent in functional roles such as human-machine collaboration, planning and designing wars, in addition to ideological, political and physical psychology requirements, in terms of military profession and science and culture, soldiers should focus on improving their knowledge and ability in the following five aspects: First, multi-disciplinary Integrate the knowledge structure, master the core principles of multiple intelligent war-related disciplines such as nature, military, cognitive psychology, and network intelligence, and be able to integrate knowledge across disciplines Guide military practice; the second is strong cognitive ability, with logical thinking, critical thinking, and systematic thinking abilities, and the ability to use scientific methods to analyze and infer combat problems; the third is human-machine collaboration ability, deeply grasp the characteristics and rules of intelligent warfare, and be proficient in operating Combat platforms, command and control systems, and decision-making support systems can control a variety of intelligent weapons and equipment to achieve efficient human-machine collaboration; fourth, innovative capabilities Have keen scientific and technological perception and strong creativity, and be able to grasp the forefront of science and technology, innovate combat styles, and master the laws of war development; fifth, self-growth ability, be able to accurately recognize oneself, reasonably plan military career, and freely use information means to acquire new knowledge, new technologies, new methods, constantly improve the knowledge structure, improve cognitive abilities, and better adapt to the complex and ever-changing development of military revolutions.

Find the focus of “paramilitary higher education reform”

At present, the superimposed advancement of informatization and intelligence has brought greater complexity to the talent training work of military academies. It is necessary to not only meet the needs of real-life information operations, but also lay the foundation for adapting to intelligent warfare. The following should be focused on Work.

Reconstructing the curriculum system. The curriculum system supports the formation of the talent knowledge structure. In order to “cultivate military talents that meet the needs of intelligent warfare and achieve the training goals of military major, science and culture, we should break the practice of designing curriculum systems with a single major as the background and establish a “general + direction” curriculum system”. General courses are based on existing natural science and public courses, adding courses such as mathematical logic, mathematical modeling, critical thinking, network basics, artificial intelligence, cognitive neuroscience, systems engineering, etc., and establishing a cross-field and cross-disciplinary horizontal course system, expand students’ knowledge, build the knowledge structure urgently needed for intelligent warfare, and lay a broad knowledge foundation for their lifelong growth. Direction courses are to establish a subject professional direction, set up a vertical course system of mathematical science, professional foundation, and professional positions, build a solid professional background, and cultivate students’ ability to use professional theories to solve complex combat training problems.“ The general knowledge +direction” curriculum system helps build a “T”-shaped knowledge structure to meet the needs of military talents to adapt to diverse and intelligent warfare.

Deepen classroom reform. Educational neuroscience believes that education is the reshaping of students’ brains, and classrooms are the main position for reshaping students’ neural networks. They play an irreplaceable role in the formation of high-level cognitive abilities required for intelligent warfare. Continuously deepening classroom reform is The current key task of military higher education. You have to see that a classroom with only knowledge understanding is far from a good classroom. All human behaviors, thoughts and emotions are controlled by the brain, and every knowledge, thought and emotion corresponds to the specific neural network of the brain. Therefore, classroom reform should focus on students’ learning and follow the cognitive laws of the human brain to attract and maintain attention as the starting point, establish a scientific thinking framework, and mobilize students to think proactively. Usually, the teaching method pointing to higher-order abilities has a general model —— problem-driven inspired teaching. Commonly used problem teaching methods, project teaching methods, and inquiry teaching methods all belong to this model. Therefore, the main way to promote classroom reform is to develop unknown, novel and questions and stories that students are interested in, design a thinking framework that points to logical reasoning, critical thinking, reflective ability, creative ability and learning ability, and inspire students to be guided by the framework. Actively think, supplemented by the output process of speaking and writing, and finally achieve the goal of internalizing knowledge understanding and forming high-level abilities.

Promoting comprehensive education. Modern educational theory not only regards the classroom as an important position in education, but also regards all time and space outside the classroom as an important resource for cultivating students. The time and space outside these classes not only support classroom teaching and promote the formation of intellectual abilities, but are also important places for cultivating non-intellectual abilities. Colleges and universities should make full use of these times and spaces, clarify specific training goals, and scientifically design education and training plans with a focus on going deep into the army, being close to actual combat, and highlighting practicality and creativity. Pay attention to giving full play to the management and education advantages of military academies, explore the establishment of student management models, and promote the cultivation of students’ leadership and management capabilities; continuously enrich the second classroom, build an innovation platform, create more independent practice opportunities, and enhance students’ innovative abilities; make full use of various large-scale activities, cultivate students’ competitive awareness and team collaboration capabilities; strengthen the construction of management cadre teams, improve scientific management and training capabilities, and be able to effectively guide students in time management and goal management Emotional management, psychological adjustment, habit development, etc., help students improve their self-management and independent learning abilities.

In short, education is a systematic project. The above are only three aspects that break through the shortcomings of talent training in the intelligent era. To truly solve the problem, military academies need to carry out systematic reforms in strategic planning, quality management, personnel quality, and teaching conditions. It can effectively support the achievement of talent training goals in all aspects, and this requires us to continue to explore and innovate, and continuously improve the level of running schools and educating people Efforts have been made to create a new situation in the construction and development of military academies.

(Author’s unit: Air Force Aviation University)

現代國語:

“軍隊院校因打仗而生、為打仗而建”。在2019年全軍院校長集訓開班式上,習主席提出新時代軍事教育方針,為全軍院校培養高素質、專業化新型軍事人才指明了方向。當前,戰爭形態正加速向信息化、智能化發展,打贏未來智能化戰爭需要什麼樣的軍人,軍事高等教育如何培養適應智能化戰爭的人才等,是擺在我們面前的重大課題。

戰爭形態加速向智能化發展

戰爭形態是以主戰兵器技術屬性為主要標志的、戰爭歷史階段性的表現形式和狀態。迄今為止,戰爭形態在經歷了冷兵器戰爭、熱兵器戰爭、機械化戰爭之後,正加速向信息化、智能化戰爭發展。大數據、物聯網、人工智能、生物技術、腦科學等先進科技在軍事領域日益廣泛的應用,正成為新軍事革命的重要推手,催生新的無人化、自主化、智能化戰爭形態,改變著傳統戰爭制勝機理。2014年,外軍智庫發布名為《20YY∶機器人時代的戰爭》的研究報告,認為以智能化軍隊、自主化裝備和無人化戰爭為標志的軍事變革風暴正在來臨,其將通過發展智能化作戰平台、信息系統與決策支持系統,以及定向能、高超聲速、仿生、基因、納米等新型武器,到2035年初步建成智能化作戰體系,到2050年將發展到高級階段,全面實現作戰平台、信息系統、指揮控制智能化甚至無人化,仿生、基因、納米等新型武器走上戰場,作戰空間進一步向生物空間、納米空間、智能空間拓展。

近年來,隨著人們對人腦研究的不斷深入,腦機接口技術正日趨成熟,未來人類與外部世界的信息交換將不再局限於感官,還可以通過芯片實現大腦與外界直接的信息交流,人與人、人與物充分互聯互通,人類或將超越互聯網、物聯網,進入腦聯網支持的智能時代。腦聯網時代,軍人的大腦與作戰平台、信息系統、決策支持系統直接相聯,在量子計算和雲平台等技術輔助下開展決策,打擊的對象將拓展到人的思想和行動,物質、能量、信息與心智融為一體。國內有專家認為,在人工智能技術的作用下,未來戰爭的制勝機理將由信息化戰爭的“信息主導、體系對抗、精確打擊、聯合制勝”,向智能化戰爭的“智能主導、自主對抗、溯源打擊、雲腦制勝”轉變,繼物質、能量、信息之後,人機融合的雲智能成為決定戰爭勝負的關鍵。這一智能化戰爭形態的轉變正在加速到來,任何遲疑都可能帶來難以想象的後果。

但應該看到,無論戰爭如何發展,人始終是最根本的要素。智能化戰爭形態將促使軍人的職能作用發生變化,對軍人的能力素質將提出更高的要求,認知能力或將超越知識、技能成為軍人的核心能力。

智能化戰爭要求軍人綜合素質升級重構

根據人才成長周期,目前正在接受高等教育的軍人,10多年後將成為部隊作戰訓練主體力量,也將成為迎接智能化戰爭挑戰的第一批主力軍。當前,我軍高等教育在人才培養目標設計上尚存在一些不足,對適應未來多變的智能化戰場能力關注不夠,人才培養目標與智能化戰爭需求還有一定差距。2020年7月23日,習主席視察空軍航空大學時,強調要堅持立德樹人、為戰育人,加強軍魂教育,強化戰斗精神,全面打牢飛行學員思想政治、軍事專業、科學文化、身體心理等素質基礎。貫徹習主席重要指示,對標未來智能化戰爭需求,迫切需要構建以思維力為核心的更加高階的軍事人才培養目標,加快軍人綜合素質升級重構。

智能化戰爭是整合多個領域的復雜巨系統,其智力為本的特點和迭代多變的發展趨勢,正在改變軍人在戰爭中的角色。軍人或將逐步由戰爭前台走向幕後,由直接面對面作戰轉變為人機協同作戰,由前線沖鋒陷陣轉變為後端籌劃設計戰爭。要勝任人機協同、籌劃設計戰爭等職能作用,除思想政治和身體心理必須達到要求外,在軍事專業和科學文化方面,軍人應重點提升以下五個方面的知識能力素質:一是多學科融合的知識結構,掌握自然、軍事、認知心理、網絡智能等多個智能化戰爭相關學科領域的核心原理,能夠跨學科整合知識,指導軍事實踐;二是強大的認知能力,具有邏輯思維、審辨思維、系統思維能力,能夠運用科學方法分析推理解決作戰問題;三是人機協作能力,深刻把握智能化戰爭特點規律,熟練運用作戰平台、指揮控制系統、決策支持系統,能夠操控多樣化智能武器裝備,實現人機高效協同;四是創新能力,具有敏銳的科技感知力和強大的創造力,能夠把握科技前沿,創新作戰樣式,掌握戰爭發展規律;五是自我成長能力,能夠准確認知自我,合理規劃軍事職業生涯,自如運用信息手段獲取新知識、新技術、新方法,不斷完善知識結構,提升認知能力,較好地適應復雜多變的軍事革命發展。

找准軍事高等教育改革著力點

當前,信息化與智能化的疊加推進,給軍隊院校人才培養工作帶來更大復雜性,既要滿足現實的信息化作戰需要,同時又要為適應智能化戰爭奠定基礎,應著重抓好以下幾項工作。

重構課程體系。課程體系支撐著人才知識結構的形成。為培養滿足智能化戰爭需要的軍事人才,達成軍事專業、科學文化兩個方面的培養目標,應打破以單一專業為背景設計課程體系的做法,建立“通識+方向”的課程體系。通識課程是在現有自然科學和公共類課程基礎上,增加數理邏輯、數學建模、批判性思維、網絡基礎、人工智能、認知神經科學、系統工程等課程,建立跨領域跨學科的橫向課程體系,拓展學員的知識面,搭建智能化戰爭急需的知識結構,為其終身成長奠定廣博的知識基礎。方向課程是確立一個學科專業方向,設置數理科學、專業基礎、專業崗位的縱向課程體系,構建厚實的專業背景,培養學員運用專業理論解決復雜作戰訓練問題的能力。“通識+方向”的課程體系,有助於構建“T”形知識結構,滿足軍事人才適應多樣多變智能化戰爭的需要。

深化課堂改革。教育神經科學認為,教育是對學生大腦的重塑,而課堂是重塑學生神經網絡的主陣地,特別對於智能化戰爭所需要的高階認知能力形成具有不可替代的作用,持續深化課堂改革是軍事高等教育當前的關鍵任務。要看到,只有知識理解的課堂遠遠不是一個好課堂。人的一切行為、思想和情感全部由大腦控制,每個知識、思維和情緒都與大腦的特定神經網絡相對應,因此,課堂改革要以學生的學習為中心,遵循人腦的認知規律,以吸引和保持注意力為起點,建立科學的思維框架,調動學員主動思考。通常,指向高階能力的教學方法具有一個通用模式——問題驅動的啟發式教學,常用的問題式教學法、項目式教學法、探究式教學法都屬於這一模式。所以,推進課堂改革的主要路徑是開發未知、新奇和學生感興趣的問題和故事,設計指向邏輯推理、審辨思維、反思能力、創造能力以及學習能力的思維框架,啟發學員在框架的指引下主動思考,再輔以講出來、寫出來的輸出過程,最後達成知識理解內化和高階能力形成的目標。

推動全面育人。現代教育理論不僅把課堂作為教育的重要陣地,還把課堂之外的所有時間和空間都視作培養學生的重要資源。這些課堂以外的時間和空間不僅支撐課堂教學、促進知識能力形成,還是培育非智力能力的重要場所。院校應充分利用這些時間和空間,明確具體的培養目標,以深入部隊、貼近實戰、突出實踐性和創造性為重點,科學設計教育訓練計劃。注重發揮軍隊院校管理育人優勢,探索建立學員管理模式,促進學員領導管理能力的培養;不斷豐富第二課堂,搭建創新平台,創造更多自主實踐機會,提升學員的創新能力;充分利用各種大型活動,培養學員競爭意識和團隊協作能力;加強管理干部隊伍建設,提高科學管訓能力,能夠有效輔導學員開展時間管理、目標管理、情緒管理、心理調節、習慣養成等,幫助學員提升自我管理和自主學習能力。

總而言之,教育是一個系統工程,以上僅是突破智能化時代人才培養短板的三個方面,真正解決問題還需要軍隊院校進行系統化改革,在戰略規劃、質量管理、人員素質、教學條件等諸方面都能夠有效支撐人才培養目標的達成,而這需要我們持續不斷地探索與創新,不斷提高辦學育人水平,努力開創軍事院校建設發展新局面。

(作者單位:空軍航空大學)

來源:解放軍報 作者:唐維忠 責任編輯:王鳳 2021-05-13 10:24:xx

中國原創軍事資源:http://www.mod.gov.cn/gfbw/gfjy_index/jsyxgfs/4885203888.html?big=fan

United States Continuing Promoting Use of Artificial Intelligence During Combat Operations

美國繼續推動在作戰行動中使用人工智慧

現代英語:

The US military is accelerating the application of artificial intelligence technology in actual combat.

According to foreign media reports, the US Department of Defense recently released a strategic planning document on artificial intelligence technology to strengthen top-level design and promote the rapid development of related technologies. At the same time, the US military has also continued to strengthen its combat use of artificial intelligence technology.

Release of strategic planning documents

Recently, U.S. Deputy Secretary of Defense Hicks signed the strategic document “Responsible Artificial Intelligence Strategy and Implementation Approach”, which clarified the basic principles and main framework for the U.S. Department of Defense to implement the artificial intelligence strategy. The main contents include the following two aspects.

Sort out the “demand side”. First, adjust the management structure and process, and continue to follow up on the development of artificial intelligence technology in the Ministry of National Defense. Second, pay attention to the research and development and procurement of artificial intelligence products, and adjust the speed of artificial intelligence technology development in a timely manner. Third, use the demand verification procedure to ensure that artificial intelligence capabilities are consistent with operational requirements.

Optimize the “R&D end”. First, create a trustworthy AI system and AI-enabled system. Second, promote a common understanding of the concept of “responsible AI” through domestic and international cooperation. Third, improve the theoretical and operational level of AI-related personnel in the Ministry of National Defense.

In addition to the military’s strategic planning report, American think tanks have recently made recommendations on the cooperation between the United States and its allies in the application of artificial intelligence technology. The Center for Security and Emerging Technologies at Georgetown University in the United States released a report stating that the U.S. government, universities, research institutions and the private sector should promote artificial intelligence technology research cooperation with Australia, India and Japan in various ways to achieve an open, accessible and secure technology ecosystem and improve the performance of relevant U.S. military weapons and equipment.

Accelerate the pace of technology application

In addition to formulating a “roadmap” for the development of artificial intelligence technology in top-level design, the US military has also taken a number of measures recently to try to apply relevant mature technologies to military practice.

From the perspective of military construction, the Army’s “Integration Plan”, the Navy’s “Winning Plan” and the Air Force’s “Advanced Combat Management System” are the three major artificial intelligence programs of the US military. All three programs are being promoted simultaneously. Recently, the US Army Contracting Command awarded a US military contractor Engineering and Computer Simulation a contract totaling $63.28 million to design and develop new artificial intelligence algorithms. Kitchener, commander of the US Navy’s surface forces, said that the US Navy’s surface forces will focus on integrating capabilities such as artificial intelligence and machine learning in the near future to significantly enhance their combat advantages. The US Air Force recently successfully demonstrated an artificial intelligence algorithm called Artuu, which can automatically manipulate U-2 reconnaissance aircraft to search for enemy missile launchers and generate real-time combat maps of cross-domain threats.

From the perspective of combat power generation, the U.S. military is accelerating the application of artificial intelligence technology in actual combat. The U.S. National Interest bimonthly website recently published an article saying that the U.S. Navy and Air Force are developing a new generation of training systems to help their fighters better deal with new air threats. This intelligent technology, called the “P5 Combat Training System,” can help U.S. military pilots conduct virtual training in high-threat, high-confrontation combat scenarios.

The Defense Advanced Research Projects Agency (DARPA) is busy verifying an “autonomous cyber attack system based on artificial intelligence chips”. It is reported that the system can generate a set of attack codes every 24 hours and dynamically adjust the attack program according to the real-time network environment. Since the attack code is newly generated, it is difficult for antivirus systems that rely on existing virus libraries and behavior recognition to identify it, and the code is highly concealed and destructive. The Defense Advanced Research Projects Agency (DARPA) believes that the system has extremely high application potential and can help the US military gain technological advantages in future cyber operations.

Triggering a cutting-edge military competition

Overall, the US military has been active in the development of artificial intelligence recently, and related developments may trigger a new round of global cutting-edge military competition.

On the one hand, the US military is promoting the idea of ​​”everything can be intelligent” internally. The US military claims that fighter jets, tanks, ground control stations and surface ships can not only serve as entities with combat capabilities, but also as nodes for monitoring battlefields and obtaining war information. To achieve this goal, artificial intelligence will play an irreplaceable role. Combined with the US military’s strategic planning documents, it is not difficult to see that in order to create more nodes, the US military will give full play to the enabling role of artificial intelligence in the next step to help various weapon platforms find and strike targets faster.

On the other hand, it will have an external impact on the global military development pattern. The US military and its allies are vigorously promoting the development of artificial intelligence technology, mainly to use these advanced technologies to suppress rival countries, and the backlash effect of related practices may be immediate. At present, many countries in the world are vigorously developing related technologies. It can be foreseen that with the rapid development and support of technologies such as artificial intelligence, the future battlefield will accelerate the transition to an intelligent and unmanned battlefield. Cross-domain collaborative operations such as land, sea, air, space, and the Internet will become the main combat style of future wars, driving the development and application of equipment technology, and promoting major changes in the global military development pattern.

現代國語:

據外媒報道,近期,美國國防部發布人工智能技術戰略規劃文件,強化頂層設計,推動相關技術快速發展。與此同時,美軍也持續加強對人工智能技術的作戰運用。

出台戰略規劃文件

近期,美國防部常務副部長希克斯簽署《負責任的人工智能戰略和實施途徑》戰略文件,明確美國防部實施人工智能戰略的基本原則和主體框架,主要內容包括以下兩個方面。

理順“需求端”。一是調整管理結構和流程,持續跟進國防部人工智能技術發展。二是關注人工智能產品的研發和采購,適時調整人工智能技術開發速度。三是使用需求驗證程序,確保人工智能能力與作戰需求保持一致。

優化“研發端”。一是創建可信的人工智能系統和人工智能賦能系統。二是通過國內、國際合作,促進對“負責任的人工智能”概念的共同理解。三是提高國防部人工智能相關人員的理論和操作水平。

除軍方的戰略規劃報告外,近期,美國智庫也對美國與盟友的人工智能技術應用合作提出建議。美國喬治城大學安全和新興技術中心發布報告稱,美國政府、大學、研究機構和私營部門應通過多種方式,促進與澳大利亞、印度和日本3國的人工智能技術研究合作,以實現開放、可訪問和安全的技術生態系統,提升美軍相關武器裝備性能。

加快技術應用步伐

除在頂層設計上為人工智能技術發展制定“路線圖”外,美軍近期還多措並舉,試圖將相關成熟技術運用於軍事實踐。

從軍種建設層面看,陸軍的“融合計劃”、海軍的“制勝計劃”和空軍的“先進作戰管理系統”是美軍當前三大人工智能計劃。三大計劃均在同步推進。近期,美陸軍合同司令部授予美軍事承包商工程與計算機模擬公司一份總金額6328萬美元的合同,以設計和開發新的人工智能算法。美海軍水面部隊指揮官基奇納表示,美海軍水面部隊近期將重點整合人工智能與機器學習等能力,以大幅提升作戰優勢。美空軍近期成功演示了一種名為Artuu的人工智能算法,能自動操縱U-2偵察機尋找敵方的導彈發射器,生成跨域威脅實時作戰圖。

從戰力生成層面看,美軍正在加速人工智能技術在實戰方面的應用。美國《國家利益》雙月刊網站近日刊文稱,美海軍和空軍正在研發新一代訓練系統,幫助其戰斗機更好地應對新的空中威脅。這種名為“P5作戰訓練系統”的智能技術,可幫助美軍飛行員進行高威脅、高對抗作戰場景下的虛擬訓練。

美國防高級研究計劃局則在忙於驗證一款“基於人工智能芯片的自主網絡攻擊系統”。據悉,該系統每24小時可生成一套攻擊代碼,並能根據網絡實時環境,對攻擊程序進行動態調整。由於攻擊代碼是全新生成的,因此,依托現有病毒庫和行為識別的防病毒系統難以識別,代碼的隱蔽性和破壞性強。美國防高級研究計劃局認為,該系統具有極高的應用潛力,能夠在未來的網絡作戰中幫助美軍獲得技術優勢。

引發前沿軍事競賽

總體來看,近期美軍在人工智能建設方面動作頻頻。相關動向或將引發新一輪全球前沿軍事競賽。

一方面,對內推動“萬物皆可智能”。美軍宣稱,無論是戰斗機、坦克、地面控制站還是水面艦船,不僅可作為一個具有作戰能力的實體,還可作為一個監視戰場和獲取戰爭信息的節點。要實現這個目標,人工智能將發揮不可替代的作用。結合美軍戰略規劃文件不難看出,為打造更多節點,美軍下一步將充分發揮人工智能的賦能作用,助力各類武器平台更快地發現和打擊目標。

另一方面,對外影響全球軍事發展格局。美軍及其盟友大力推動人工智能技術發展的做法,主要目的是利用這些先進技術打壓對手國家,相關做法的反噬效應或將立竿見影。目前,世界多國都在大力發展相關技術。可以預見,在人工智能等技術的快速發展和支撐下,未來戰場將加速向智能化、無人化戰場過渡,陸、海、空、天、網等跨域協同作戰,將成為未來戰爭的主要作戰樣式,牽引裝備技術發展和運用轉化,推動全球軍事發展格局發生重大變化。

來源:中國軍網-中國國防報 作者:傅 波 責任編輯:尚曉敏

中國原創軍事資源:http://www.81.cn/wj_208604/10169848888.html

Chinese Military Laws Necessary for Winning Intelligent Warfare

中國軍事法規是贏得智慧化戰爭的必要條件

現代英語:

●To understand the laws of intelligent warfare, we must grasp the foundation of intelligence and autonomy, the key of building a war knowledge and action system, and the essence of the changes in the connotation of war power.

●War leaders must examine intelligent warfare dynamically, keenly capture the new elements spawned by intelligent warfare, correctly analyze the changes in the relationship between the new elements, and constantly re-understand intelligent warfare.

President Xi pointed out that we should seriously study the military, war, and how to fight, and grasp the laws of modern warfare and the laws governing war. Today, the intelligent characteristics of war are becoming increasingly prominent, and intelligent warfare has already shown its early form. In order to seize the initiative in future intelligent warfare, we should actively follow the development of modern warfare, keep close to the actual military struggle preparations, proactively understand the laws of intelligent warfare, deeply grasp its guiding laws, focus on answering questions such as “what is it” and “how to do it”, and constantly innovate war and strategic guidance.

Answering the question “What is it?” and understanding the laws of intelligent warfare

Comrade Mao Zedong pointed out: “The laws of war are a problem that anyone who directs a war must study and must solve.” Today, as intelligent warfare begins to emerge, we should proactively understand “what” intelligent warfare is. Otherwise, we will not be able to solve “how to do it,” let alone control future wars.

The laws of intelligent warfare are the reconstruction of the war knowledge and action system. The laws of intelligent warfare, like the laws of cold weapon warfare, hot weapon warfare, mechanized warfare, and information warfare, are the inherent and essential connections between the elements of war. The difference is that it has new elements and new modes of composition between elements. It is essentially the reconstruction of the war knowledge and action system caused by the intelligent revolution. Today, to understand the laws of intelligent warfare, we must grasp the foundation of intelligence and autonomy, grasp the key to building a war knowledge and action system, and grasp the essence of the change in the connotation of war power. Mastering these laws can overcome the chaos and uncertainty in future wars and find order and certainty from them. This is the objective requirement for dealing with intelligent warfare.

The laws of intelligent warfare are the basis of the laws of war guidance. In “Problems of Strategy in China’s Revolutionary War”, Mao Zedong first analyzed the characteristics of China’s revolutionary war and revealed the laws of war, and then “derived our strategies and tactics from this”, that is, the laws of war guidance; in “On Protracted War”, he first explained “what it is”, and then turned to the question of “how to do it”, reflecting a logical order of the cognitive process. Today, the study of intelligent warfare should still follow this order, and neither put the cart before the horse, nor reverse the order; nor add, reduce or replace links. On the basis of mastering the fundamental law of intelligent autonomy, we must reveal the laws of war guidance such as autonomous perception, autonomous planning, autonomous implementation, autonomous linkage, and autonomous evaluation.

If you don’t understand the laws of intelligent warfare, you can’t guide the war. “Sun Bin’s Art of War” points out: “Know, win” and “Don’t know, don’t win.” Tao is the law of war. If you master it and act in accordance with it, you can win; otherwise, you will lose. Mao Zedong also emphasized: “If you don’t know the laws of war, you don’t know how to guide the war, and you can’t win the war.” Similarly, mastering the laws of intelligent warfare is the premise for correctly guiding intelligent warfare. Otherwise, it is inevitable to be confused by the superficial phenomena of intelligent warfare. Today, we need to analyze the basic, long-term and subversive impact of intelligent technology groups on war, and study what intelligent warfare looks like? What are the laws? How should it be fought? These are all major issues that must be answered in the guidance of intelligent warfare.

Solve the “how to do it” problem and reveal the guiding principles of intelligent warfare

The guiding laws of intelligent warfare are the medium for guiding practice by using the laws of intelligent warfare, playing the role of “bridge” and “boat”. We should solve the problem of “how to do it” on the basis of answering “what is it” and propose the “swimming skills” of intelligent warfare.

The guiding laws of intelligent warfare are the laws of applying the laws of war. The purpose of understanding the laws of war is to apply them. Marx pointed out: “Philosophers only interpret the world in different ways, but the problem is to change the world.” Similarly, intelligent warfare itself forces commanders to discover the laws. Once discovered, they will combine initiative and use the laws to serve winning the war, which will inevitably lead to the emergence of guiding laws for intelligent warfare. Today, war is the continuation of politics, which is still the law of intelligent warfare. From this, it can be concluded that intelligent warfare must obey the guiding laws that serve politics; soldiers and civilians are the basis of victory, which is still the law of intelligent warfare. From this, it can be concluded that the guiding laws of mobilizing the people in the broadest possible way are derived, and so on. These guiding laws for intelligent warfare are derived from the laws of war and are “swimming skills in the sea of ​​intelligent warfare.”

Give full play to the active role of people in intelligent warfare. Engels said: “It is people, not guns, who win the battle.” The guiding laws of intelligent warfare are the laws of practice and use. It is not a simple “transfer” or “copying” of the laws of intelligent warfare, but it can be transformed into the guiding laws of war with the addition of people’s subjective initiative. Today, military talents who master artificial intelligence are not only the operators of intelligent weapons, but also the creators of artificial intelligence. People still occupy a dominant position in the intelligent human-machine system and are the decisive factor in the victory or defeat of intelligent warfare. Commanders should give full play to their initiative on the basis of mastering the laws of intelligent warfare and adhere to the “technology + strategy” combat theory generation model, so as to change from answering “what is” to solving “how to do”.

The laws governing intelligent warfare are constantly evolving. War is a “chameleon”. Intelligent warfare itself will also go through different stages such as germination, development, and maturity, which will inevitably lead to the development of laws governing intelligent warfare. War leaders must dynamically examine intelligent warfare, keenly capture the new elements of intelligent warfare, correctly analyze the changes in the relationship between the new elements, and constantly re-recognize intelligent warfare. We must keep up with the historical process of the accelerated advancement of war forms towards intelligence, grasp the direction of development of intelligent warfare and the pulse of the times, push the research on the laws governing intelligent warfare to a new level, and seize strategic initiative and opportunities on future battlefields.

Keep a close eye on the “initiative” and continue to innovate intelligent warfare and strategic guidance

As the military is ever-changing, water is ever-changing. As intelligent warfare has already arrived, we must follow the laws and guidance of intelligent warfare, keep close to the actual military struggle preparations, strengthen research on opponents and enemy situations, take the initiative to design “when”, “where” and “who to fight”, innovate war and strategic guidance, and firmly grasp the strategic initiative of future wars.

You fight yours, I fight mine. The highest realm of the art of war guidance is that you fight yours, I fight mine. “Each fights his own” requires commanders to use their own forces independently and autonomously in future intelligent wars, no matter how complex and difficult the environment is. In particular, enemies with high-tech equipment may cause a temporary local situation where the enemy is active and we are passive. At this time, we must use comprehensive means such as politics, economy, and diplomacy to make up for the disadvantages in weapons with an overall favorable situation, quickly reverse this situation, and restore the active position. If you are led by the nose by your strategic opponent, you may suffer a great loss.

Seize the opportunity and use the troops according to the time. The Six Secret Teachings pointed out: “The use depends on the opportunity.” Jomini emphasized: “The whole art of war lies in being good at waiting for the opportunity to act.” On the one hand, if the time is not right, do not force it. Be cautious about the opportunity, and have great patience before the opportunity comes to prevent strategic blind action. On the other hand, the time will not come again, so don’t miss the opportunity. Be good at seizing the opportunity, and once you encounter a favorable opportunity, you must resolutely use it and avoid being timid. It should be pointed out that we should look at the issue of the maturity of the opportunity dialectically. The future intelligent war is changing rapidly, requiring quick decision-making, but in the face of uncertain factors, we must make careful decisions. Sometimes making a decision early may be more effective than making a more perfect decision tomorrow. Therefore, we must dare to take a little risk, otherwise we will sit back and watch the loss of the opportunity for success.

Different domains are different, and operations are based on the local conditions. Clausewitz pointed out: “War is not like a field full of crops, but like a field full of trees. When harvesting crops, you don’t need to consider the shape of each crop, and the quality of the harvest depends on the quality of the sickle; when chopping down trees with an axe, you must pay attention to the shape and direction of each tree.” Different strategic spaces lead to different wars, and war guidance is also different. At present, the battlefield space is constantly expanding from traditional spaces such as land, sea and air to new spaces such as space and the Internet. War leaders should explore new intelligent war laws and guidance laws based on the characteristics of multi-domain, three-dimensional, and networked.

Aim at the opponent and win by taking advantage of the enemy. The Art of War by Sun Tzu states: “Follow the enemy and decide the battle.” Jomini also said: “No matter who you are, if you don’t understand the enemy, how can you know how to act?” Looking to the future, smart strategists should classify combat targets into primary combat targets and general combat targets, actual combat targets and potential combat targets according to their importance and urgency, and comprehensively and objectively understand the strategic intentions, force deployment, combat concepts, etc. of different combat targets, propose new intelligent war guidance laws that can give full play to the advantages of their own combat power, and implement correct war actions.

In short, the laws of intelligent warfare are the laws of the cognitive process, solving the problem of “what”; the guiding laws are the laws of the practical process, solving the problem of “how”. The two are dialectically unified and inseparable, forming a complete chain of understanding and guiding intelligent warfare. “Victory is not repeated, but should be formed in infinity.” Today, war and strategic leaders should, based on objective conditions, deeply explore and flexibly apply the laws of intelligent warfare and the laws of war guidance, and innovate war and strategic guidance in line with the times.

(Author’s unit: Academy of Military Science, Institute of War Studies)

Source: Liberation Army DailyAuthor: Hao Jingdong Niu Yujun Duan FeiyiEditor-in-charge: Wang Feng2021-03-16 10:12

現代國語:

认识智能化战争规律,要抓住智能化和自主化这个基础,抓住构建战争知行体系这个关键,抓住战争力量内涵发生改变这个实质。

●战争指导者须动态地考察智能化战争,敏锐捕捉智能化战争孕育的新质要素,正确分析新质要素之间关系的变化,不断对智能化战争进行再认识。

习主席指出,要认真研究军事、研究战争、研究打仗,把握现代战争规律和战争指导规律。今天,战争的智能化特征日益凸显,智能化战争已经展现出早期形态的样貌。要想掌握未来智能化战争主动权,就应积极跟踪现代战争发展,紧贴现实军事斗争准备,前瞻认识智能化战争规律,深刻把握其指导规律,着力回答“是什么”、解决 “怎么做”等问题,不断创新战争和战略指导。

回答“是什么”,前瞻认识智能化战争规律

毛泽东同志指出:“战争的规律——这是任何指导战争的人不能不研究和不能不解决的问题。”今天,在智能化战争初显端倪之际,应前瞻认识智能化战争“是什么”,否则就不能解决“怎么做”,更不可能驾驭未来战争。

智能化战争规律是战争知行体系的重建。智能化战争规律,和冷兵器战争、热兵器战争、机械化战争、信息化战争的规律一样,是战争诸要素间内在的、本质的联系,不同之处在于它有新质的要素和新的要素间的构成模式,本质上是基于智能化革命所引发的战争知行体系的重建。今天,认识智能化战争规律,要抓住智能化和自主化这个基础,抓住构建战争知行体系这个关键,抓住战争力量内涵发生改变这个实质。掌握这些规律,就能克服未来战争中的纷乱和不确定性,从中找出条理和确定性,这是应对智能化战争的客观要求。

智能化战争规律是战争指导规律的依据。毛泽东在《中国革命战争的战略问题》中,首先分析了中国革命战争的特点,揭示了战争规律,然后“由此产生我们的战略战术”,即战争指导规律;在《论持久战》中,他首先说明了“是什么”,再转到研究“怎么做”的问题上,体现了一种认识过程的逻辑顺序。今天,研究智能化战争仍应遵循这一顺序,既不能本末倒置,颠倒顺序;也不能增加、减少或更换环节。要在掌握智能自主这一根本规律的基础上,揭示自主感知、自主规划、自主实施、自主联动、自主评估等战争指导规律。

不懂得智能化战争规律,就不能指导战争。《孙膑兵法》指出:“知道,胜”“不知道,不胜”。道是战争规律,掌握它、行动符合它,就能取胜;反之,则败。毛泽东也强调:“不知道战争的规律,就不知道如何指导战争,就不能打胜仗。”同样,掌握智能化战争规律,是正确指导智能化战争的前提。否则,就难免要被智能化战争的表面现象所迷惑。今天,要通过分析智能化技术群对战争的基础性、长远性和颠覆性影响,研究智能化战争是个什么样子?有哪些规律?应该怎么打?这些都是智能化战争指导必须回答的重大课题。

解决“怎么做”,揭示掌握智能化战争指导规律

智能化战争指导规律是运用智能化战争规律指导实践的中介,起到“桥”和“船”的作用。应在回答“是什么”的基础上解决“怎么做”的问题,提出智能化战争的“游泳术”。

智能化战争指导规律是运用战争规律的规律。认识战争规律的目的在于应用。马克思指出:“哲学家们只是用不同的方式解释世界,而问题在于改变世界。”同样,智能化战争本身迫使指挥员不发现规律则已,一旦发现,就会结合能动性,利用规律为打赢战争服务,这就必然导致智能化战争指导规律的产生。今天,战争是政治的继续仍是智能化战争规律,由此得出智能化战争必须服从服务于政治的指导规律;兵民是胜利之本仍是智能化战争规律,由此得出最广泛地动员民众的指导规律,等等。这些智能化战争指导规律是战争规律派生出来的,是“智能化战争大海中的游泳术”。

充分发挥人在智能化战争中的能动作用。恩格斯说过:“赢得战斗胜利的是人而不是枪。”智能化战争指导规律是实践规律、使用规律。它不是对智能化战争规律的简单“移用”“照搬”,而是加上人的主观能动性,才能转化为战争指导规律。今天,掌握人工智能的军事人才,不仅是智能化武器的操控者,更是人工智能的创造者。人在智能化人机系统中仍处于主体地位,是智能化战争胜负的决定性因素。指挥员应在掌握智能化战争规律的基础上,充分发挥能动性,坚持“技术+谋略”的作战理论生成模式,才能由回答“是什么”向解决“怎么做”转变。

智能化战争指导规律是不断发展的。战争是一条“变色龙”。智能化战争本身也会经历萌芽、发展、成熟等不同阶段,这就必然带来智能化战争指导规律的发展。战争指导者须动态地考察智能化战争,敏锐捕捉智能化战争孕育的新质要素,正确分析新质要素之间关系的变化,不断对智能化战争进行再认识。要紧跟战争形态向智能化加速迈进的历史进程,把握智能化战争发展方向和时代脉搏,把对智能化战争指导规律的研究推向新境界,在未来战场占据战略主动和先机。

紧盯“主动权”,不断创新智能化战争和战略指导

兵无常势,水无常形。在智能化战争已然来临之际,要在遵循智能化战争规律和指导规律的基础上,紧贴现实军事斗争准备,加强对手研究、敌情研究,主动设计“在什么时间”“在什么地点”“和谁打仗”,创新战争和战略指导,牢牢掌握未来战争的战略主动权。

你打你的,我打我的。战争指导艺术的最高境界,就是你打你的、我打我的。“各打各的”要求指挥员在未来智能化战争中,无论处于怎样复杂、困难的环境,首先要立足自身实际,独立自主地使用自己的力量。特别是拥有高技术装备之敌,可能造成暂时的局部的敌之主动、我之被动的局面,这时要通过政治、经济、外交等综合手段,以总体有利态势弥补武器上的劣势,迅速扭转这一局面,恢复主动地位。如果被战略对手牵着鼻子走,就可能吃大亏。

把握时机,因时用兵。《六韬》指出:“用之在于机。”若米尼强调:“全部战争艺术就在于善于待机而动。”一方面,时不至,不可强动。要持重时机,时机未到,应有极大耐心,防止战略盲动。另一方面,时不再来,机不可失。要善于把握时机,一旦遇上有利时机,就要坚决利用,防止畏首畏尾。需要指出的是,要辩证地看待时机成熟问题。未来智能化战争瞬息万变,要求快速决策,而面对不确定性因素,又必须慎重决策。有时及早定下决心,比明天下达更完善的决心也许更有效。因此,要敢于冒一点风险,不然则会坐视成功机会的丧失。

各域有别,因地运筹。克劳塞维茨指出:“战争不像长满庄稼的田地,而像长满大树的土地。收割庄稼时不需要考虑每棵庄稼的形状,收割得好坏取决于镰刀的好坏;而用斧头砍伐大树时,就必须注意到每棵大树的形状和方向。”战略空间不同,战争就不同,战争指导也不一样。当前,战场空间不断由陆海空等传统空间向太空、网络等新型空间拓展,战争指导者应根据多域性、立体性、网络性等特点,探索新的智能化战争规律和指导规律。

瞄准对手,因敌制胜。《孙子兵法》指出:“践墨随敌,以决战事。”约米尼也说过:“不管是谁,如果不了解敌人,怎能知道自己应该如何行动呢?”着眼未来,聪明的战略家应根据轻重、缓急程度,把作战对象区分为主要作战对象和一般作战对象、现实作战对象和潜在作战对象,全面客观地了解不同作战对象的战略意图、兵力部署、作战构想等,提出能充分发挥己方战力优长的新的智能化战争指导规律,实施正确的战争行动。

总之,智能化战争规律是认识过程中的规律,解决“是什么”;指导规律是实践过程中的规律,解决“怎么做”。二者辩证统一,不可分割,构成了认识和指导智能化战争的完整链条。“战胜不复,而应形于无穷。”今天,战争和战略指导者应基于客观情况,深入探索和灵活运用智能化战争规律和战争指导规律,与时俱进创新战争和战略指导。

(作者单位:军事科学院战争研究院)

中國原創軍事資源:http://www.mod.gov.cn/jmsd/2021-03/16/content_4880989.htm?yikikata=7593b488-bf4396b2e061d55553e340f0a68ef7f8888

Chinese Military Review of the Strategic Game Among Major Powers Within Context of Military Intelligence

軍事情報視野下的大國戰略博弈-中國軍事評論

現代英語:

In today’s world, the new military revolution has entered a critical qualitative change stage. Intelligent warfare with ubiquitous intelligence, interconnectedness, human-machine integration, and full-domain collaboration is accelerating. In order to consolidate its position as the world’s hegemon, the United States actively promotes the third “offset strategy” to “change the future war situation”, formulates an artificial intelligence development strategy, accelerates the actual combat testing and exercises of artificial intelligence, and regards intelligent technology as the core of a “disruptive technology group” that can change the “rules of the game”. Military powers such as Russia, Britain, and Israel are unwilling to lag behind and are also stepping up to improve their respective strategic layouts in the field of artificial intelligence. As competition among major powers intensifies, military intelligence will become the new commanding heights of the arms race.

    【Key words】military conflict, artificial intelligence strategy, AI war 【Chinese Library Classification Number】D81 【Document Identification Code】A

    In 2017, Master, known as the evolved version of “AlphaGo”, swept the top Go players on the online Go platform and won 60 consecutive games; in 2019, in the StarCraft II man-machine competition, two top human players were defeated with a score of 1:10; in 2020, in the “Alpha” air combat competition held by the Defense Advanced Research Projects Agency of the United States Department of Defense, the F-16 piloted by the US military ace pilot was completely defeated by the artificial intelligence fighter with a score of 0:5. These events show that the era of artificial intelligence that humans both look forward to and fear has quietly arrived.

    Engels said, “Once technological advances can be used for military purposes and have been used for military purposes, they will immediately and almost forcibly, and often against the will of the commander, cause reforms or even changes in the way of warfare.” At present, the militarized application of artificial intelligence has caused “the winning mechanism of war to undergo an unprecedented transformation, and the center of gravity of combat power generation is undergoing a historic shift.” A new round of scientific and technological revolution, industrial revolution and military revolution provides support for the intelligent era of “controlling energy with intelligence.”

    Military artificial intelligence demonstrates its powerful power in modern warfare

    The drive of the arms race among the major powers is triggering a chain of changes in the military field. In recent years, the world situation has been in a turbulent period, which has triggered a series of geopolitical crises. The concept of “hybrid warfare” has entered the war stage, and military artificial intelligence has entered a new stage of development. The rapid development and comprehensive integration of technologies such as artificial intelligence, big data, cloud computing, and reconnaissance and strike drones have demonstrated their powerful power in modern warfare. Whether it is the physical domain of firepower strikes, the interest domain of economic sanctions, or the cognitive domain of public opinion and psychological control, it makes people deeply feel that military artificial intelligence is becoming popular.

    Assassinating senior Iranian officials, AI becomes a “killing tool” for the US military. On January 3, 2020, then-US President Trump ordered the US military to launch an airstrike on Baghdad International Airport in Iraq without the consent of the US Congress. This airstrike directly killed Iranian senior official Soleimani. Soleimani is the top commander of the “Quds Brigade” of the Iranian Revolutionary Guard. Why was he successfully assassinated by the United States in the capital of Iraq? It is reported that the “Reaper” drone carried out this mission, which “targeted and eliminated” Soleimani by projecting “Hellfire” missiles. The operation was very secretive and could not be detected by radar. Even the US spy satellites did not know the location of the “Reaper” at the time. It should be emphasized that the assassination of Soleimani was an illegal and brutal act of the United States using terrorist means, “one of the war crimes committed by the United States by abusing force”, and its so-called “rules-based international order” is a pure whitewash, and its essence is a true manifestation of hegemony.

    In the Israeli-Palestinian conflict, Israel launched the “first AI war”. In May 2021, Israel launched “Operation Rampart” against Hamas. During the 11-day battle in the Gaza Strip, Israel relied on advanced information collection technology, analytical algorithms and AI-led decision support systems to quickly and effectively select attack targets and use the most appropriate ammunition as needed. Through hundreds of intensive and precise strikes from multiple combat platforms, it paralyzed Hamas and the Palestinian Islamic Jihad Organization’s rocket positions, rocket manufacturing plants, ammunition depots, military intelligence agencies, senior commanders’ residences and other key facilities, destroyed several autonomous GPS-guided submarines of the Hamas Maritime Commando, and killed Bassem Issa and other Hamas senior commanders and senior agents.

    It has been disclosed that the artificial intelligence system used in the war is an algorithm system developed by an elite team code-named 8200. The three systems “Alchemist”, “Gospel” and “Deep Wisdom” hatched by the team were all used in this military operation. The “Alchemist” system can analyze the enemy’s attempt to launch an attack and provide real-time warnings through the communication device carried by individual soldiers. The information fed back by the soldiers will also be collected again and evaluated for the next attack; the “Gospel” system can generate target strike suggestions and mark target information in real time. Commanders can flexibly select important targets and implement strikes based on battlefield conditions; the “Deep Wisdom” system can accurately draw a map of the tunnel network of Hamas armed organizations in the Gaza Strip through intelligence collection and big data fusion such as signal intelligence, visual intelligence, personnel intelligence, and geographic intelligence, forming a situation map that fully reflects the conflict area scenario. The use of these technologies has greatly enhanced the Israeli army’s battlefield situation awareness capabilities. A senior intelligence official of the Israel Defense Forces said that this is “the first time that AI has become a key component and combat power amplifier in fighting the enemy.” The Israeli military believes that the use of AI has brought “super cognitive ability” and even directly calls it “the first artificial intelligence war.”

    In order to seize the technological commanding heights, countries are stepping up their strategic layout of military intelligence

    Artificial intelligence is regarded as a key strategic technology in the Fourth Industrial Revolution. In order to gain the upper hand in the new round of disruptive technology competition, the world’s military and technological powers, led by the United States, have stepped up their strategic layout around military intelligence, and are working intensively and spare no effort.

    The United States attempts to rely on artificial intelligence to maintain its military hegemony. Since 2016, the U.S. Department of Defense has successively issued documents such as “Preparing for the Future of Artificial Intelligence”, “National Artificial Intelligence Research and Development Strategic Plan”, and “Department of Defense Artificial Intelligence Strategy”, which have elevated the development of artificial intelligence to the national strategic level. In order to establish its own “rules of war”, the Pentagon has successively formulated artificial intelligence technology research and development plans, key project concepts, and technical standards and specifications, and focused on building a research and development production and combat application system. In summary, the U.S. military’s layout for the future development of artificial intelligence can be roughly divided into three stages: near, medium, and long. In the first stage, before 2025, with unmanned, stealth, and remote combat platforms as the development focus, a “global surveillance and strike system” will be built, and unmanned systems will become the main means of military intervention by the U.S. military. In the second stage, before 2035, with intelligent combat platforms, information systems, and command and decision-making systems as the development focus, an intelligent combat system will be initially established, and unmanned systems will surpass manned systems and occupy a dominant position in combat. The third stage, before 2050, will focus on the development of technologies such as strong artificial intelligence, nanorobots, and brain networking, fully realize the intelligence of combat platforms, information systems, and command and control, promote the expansion of combat space to biospace, nanospace, and intelligent space, and strive to seek the intelligent combat system to enter the advanced stage.

    The various branches of the U.S. military have also launched and continuously updated their artificial intelligence development plans. The ground unmanned autonomous system has the “U.S. Ground Unmanned System Roadmap” and the “U.S. Robot Development Roadmap”, etc., and plans to achieve intelligent formations and coordinated actions of manned and unmanned by 2030, and realize the mobility of synthetic forces by 2040. The aerial unmanned autonomous system has a special drone development plan, and the long-term goal is to form a complete aerial unmanned equipment system covering high, medium and low altitudes, large, medium, small and micro, ordinary and long flight time. The maritime unmanned autonomous system is divided into two directions. One is to create a new underwater combat system, using multiple unmanned submarines to form a mobile integrated reconnaissance, detection, and strike network, and form an “advanced underwater unmanned fleet”; the other is to accelerate the development of surface unmanned ships and make breakthroughs in the “human-machine cooperation” of surface unmanned ships. In addition, the U.S. Department of Defense has also established partnerships with industry, academia and allies to ensure access to the most advanced artificial intelligence technology support.

    Russia has also put forward its own strategic plan in the field of artificial intelligence. In recent years, Russian President Vladimir Putin has attached great importance to the development of artificial intelligence. He proposed that artificial intelligence is the future for both Russia and all mankind. Whoever becomes a leader in this field will stand out and gain a huge competitive advantage. Artificial intelligence is related to the future of the country. Russian Chief of General Staff Gerasimov said that the Russian army is “developing non-nuclear strategic deterrence forces” through artificial intelligence equipment. Russian Defense Minister Sergei Shoigu said that the Russian army is stepping up the research and development and deployment of military robots, and combat robots will be put into mass production.

    As early as November 2014, Russia adopted a plan to develop combat robots by 2025, proposing that robot systems will account for 30% of the entire weapons and military technology system by 2025. In December 2015, Putin signed a presidential decree to “establish a national robotics technology development center”, providing institutional support for the development of artificial intelligence from a strategic level. In recent years, Russia has successively issued strategic plans such as “Future Russian Military Robot Application Concept”, “National Artificial Intelligence Development Strategy by 2030”, and “Russian Federation Defense Plan 2021-2025”, carried out war games in various complex combat environments, studied the impact of artificial intelligence on various levels such as strategy, campaign and tactics, and strived to build a multi-level and multi-dimensional unmanned intelligent combat system that is interconnected.

    From the perspective of medium- and long-term goals, attacking unmanned equipment is the focus of Russia’s development. In 2019, Russian President Vladimir Putin proposed at the Russian Federation Security Conference that in the next 10 years, the Russian army will vigorously develop combat robot systems that can perform tasks on the battlefield. The short-term goal is to build a multifunctional combat robot force with certain autonomous control capabilities by 2025. According to information, the force will be composed of 5 types of robots, each of which can be independently divided into combat units and can basically complete battlefield combat tasks without or with very little human intervention. At present, the Russian army has started the experimental design work of the heavy and light robot “assault” and “comrade” systems. Some experts analyzed that the combat robot force may become an independent and brand-new branch of the Russian army.

    The United States is wooing its allies to prepare for AI wars, and the AI ​​arms race is intensifying. In recent years, in order to maintain its absolute leading position in the field of artificial intelligence, the United States has stepped up its own AI militarization construction while trying to win over its allies to jointly develop a joint operation AI system in the name of serving the alliance combat system. According to the U.S. “Defense News” website, in September 2020, the U.S. Joint Artificial Intelligence Center has launched the “Defense Partnership Program”, which covers the United Kingdom, France, Israel, Japan, South Korea, Australia, Canada, Finland, Norway, Sweden and other countries. It aims to develop an AI system that is interconnected with the above-mentioned allies and lay the foundation for joint operations in intelligent warfare. It is reported that relevant defense representatives of the United States and its allies have held several meetings around this plan. The United States also claimed that this defense cooperation will “open the door” to more interested U.S. allies.

    The United States’s push will undoubtedly intensify the AI ​​arms race among the world’s major military powers. Among the United States’ many allies, Israel’s AI level is the best. Israel is the world’s largest exporter of military drones; it has the world’s first controllable autonomous unmanned vehicle, the Guardian, which has been equipped to the troops; it is the only country in the world, except the United States, equipped with unmanned surface vessels, and has many types of unmanned surface vessels such as the Protector, Stingray, and Seagull.

    Other major countries are also stepping up their layout in the field of artificial intelligence. The United Kingdom has formulated an artificial intelligence development path of “universities as the source, military-civilian integration”, and issued the “National Artificial Intelligence Strategy” and the “Robots and Artificial Intelligence” strategic plan. France has formulated the “French Artificial Intelligence Strategy” and the “French Artificial Intelligence Plan”. Since 2018, it has increased its defense budget year by year and continuously increased investment in the research and development of artificial intelligence weapons. Germany has the world’s largest artificial intelligence research center. In 2018, it issued the “Artificial Intelligence Strategy” and planned to create an “Artificial Intelligence Made in Germany” brand by 2025. Japan has successively issued the “Artificial Intelligence Strategy”, “New Robot Strategy” and “Comprehensive Science and Technology Innovation Strategy”, and established the “Innovative Intelligence Comprehensive Research Center” to focus on the development of artificial intelligence-related technologies. In January 2021, the Australian Department of Defense issued the “Fighting the Artificial Intelligence War: Operational Concepts for Future Intelligent Warfare”. This document focuses on how to apply artificial intelligence to land, sea and air combat.

    As some experts have said, “Intelligent technology is a double-edged sword. While it promotes the evolution of warfare to intelligent warfare, it also brings about a series of new war ethics issues and dilemmas in the law of war.” What changes will artificial intelligence bring to human society? This issue deserves in-depth thinking and continued attention.

    (The author is the director of the News Research Department of Guangming Daily)

    【References】

    ①Wu Mingxi: Intelligent Warfare—AI Military Vision, Beijing: National Defense Industry Press, January 2020.

    ②Guo Ming: “Basic Understanding of Intelligent Warfare”, “People’s Forum·Academic Frontier”, Issue 10, 2021.

    ③ Ding Ning and Zhang Bing: “Development of Intelligent Weapons and Equipment of Major Military Powers in the World”, “Military Digest”, Issue 1, 2019.

    ④ Ge Yan and Jia Zhenzhen: “Future Combat Concepts and Combat Styles under Military Transformation”, “Military Digest”, Issue 15, 2020.

    ⑤He Fuchu: “The Future Direction of the New World Military Revolution”, Reference News, August 23, 2017.

    ⑥Ma Junyang: “Russian-made unmanned intelligent weapons debut in Syria”, People’s Liberation Army Daily, December 30, 2019.

Geng HaijunPeople’s Forum (July 1, 2022, Issue 03)

現代國語:

當今世界,新軍事變革進入關鍵性變遷階段,智慧泛在、萬物互聯、人機共融、全局協同的智慧化戰爭正加速演進。為鞏固世界霸主地位,美國積極推行“改變未來戰局”的第三次“抵消戰略”,制定人工智能發展戰略,加速人工智能實戰檢驗和演習,將智能科技視作可改變“遊戲規則”的“顛覆性技術群”的核心。俄羅斯、英國、以色列等軍事強國不甘落後,也加緊完善各自在人工智慧領域的戰略佈局。大國競爭加劇,軍事智慧化將成為新的軍備競賽制高點。

【關鍵字】軍事衝突 人工智慧戰略 AI戰爭 【中圖分類號】D81 【文獻識別碼】A

2017年,被稱為進化版「阿爾法狗」的Master在圍棋網路平台橫掃圍棋界頂尖高手,豪取60連勝;2019年,星際爭霸Ⅱ遊戲人機對抗賽中,兩位人類頂尖選手以1:10的比數慘敗;2020年,在美國國防部高級研究計畫局舉辦的「阿爾法」空中格鬥競賽中,由美軍王牌飛行員駕駛的F-16以0:5完敗於人工智慧戰鬥機。這些事件表明,人類既期待又畏懼的人工智慧時代已經悄悄到來。

恩格斯說,「一旦技術上的進步可以用於軍事目的並且已經用於軍事目的,它們便立刻幾乎強制地,而且往往是違反指揮官的意志而引起作戰方式上的改革甚至變革」。當下,人工智慧的軍事化應用使「戰爭的致勝機制正在發生前所未有的嬗變,戰鬥力生成的重心正發生歷史性的位移」。新一輪科技革命、產業革命和軍事革命為「以智地」的智慧化時代提供了支撐。

軍事人工智慧在現代戰爭中展現出強大威力

大國軍備競賽的驅動,正引發軍事領域鍊式變革。近年來,世界局勢處於動盪不安時期,由此引發了一系列地緣政治危機,「混合戰爭」概念登上戰爭舞台,軍事人工智慧進入發展新階段。人工智慧、大數據、雲端運算、察打一體無人機等技術的快速發展、全面融合,在現代戰爭中展現出強大威力。無論是火力打擊的物理域、經濟制裁的利益域,或是輿情心理控制的認知域,無不使人深刻感受到軍事人工智慧正在大行其道。

刺殺伊朗高官,AI成為美軍「殺人工具」。 2020年1月3日,時任美國總統川普未經美國國會同意,下令讓美軍空襲伊拉克巴格達國際機場。這次空襲,直接殺死了伊朗高官蘇萊曼尼。蘇萊曼尼是伊朗革命衛隊「聖城旅」最高指揮官,為何會被美國在伊拉克首都暗殺成功?有消息透露,實施這項任務的是「收割者」無人機,它透過投射「地獄火」飛彈,對蘇萊曼尼進行了「定點清除」。這次行動十分隱秘,雷達無法偵測到,連美軍間諜衛星都不知道這架「收割者」當時的位置。需要強調的是,刺殺蘇萊曼尼,是美國動用恐怖主義手段的非法和殘暴行徑,“是美國濫用武力犯下的戰爭罪行之一”,其所謂的“基於規則的國際秩序”是純粹的粉飾,本質是霸權主義的真實表露。

在巴以衝突中,以色列打響了「第一次AI戰爭」。 2021年5月,以色列對哈馬斯發起「城牆衛兵行動」。在加薩地帶11天的戰鬥中,以色列依靠先進的資訊收集技術、分析演算法和人工智慧主導的決策支援系統,快速有效地選擇攻擊目標並根據需要使用最合適的彈藥,透過數百次多種作戰平台的密集、精確打擊,癱瘓了哈馬斯和巴勒斯坦伊斯蘭聖戰組織的火箭陣地、火箭製造廠、彈藥倉庫、軍事情報機構、高級指揮官住所等關鍵設施,摧毀了哈馬斯海上突擊隊多艘自主GPS制導潛艇,擊殺了巴塞姆·伊薩等多名哈馬斯高級指揮官和高級特工。

有資訊揭露,此次應用於戰爭的人工智慧系統,是由一支代號8200的精英小組所開發的演算法系統。由該小組孵化的「煉金術士」「福音」「深度智慧」三個系統,全部被用於這次軍事行動。 「煉金術士」系統可對敵方發動攻擊的企圖進行分析,並透過單兵攜帶的通訊裝置即時預警,而士兵回饋的訊息也會被重新收集並對下一次攻擊作出評估;「福音」系統可產生目標打擊建議,並即時標記目標訊息,指揮人員結合戰場情況可靈活選擇重要目標並實施打擊;「深度智慧」系統透過訊號情報、視覺情報、人員情報、地理情報等情報收集和大數據融合,可精確繪製哈馬斯武裝組織在加薩地帶的地道網絡圖,形成了全面反映衝突區域情景的態勢圖。這些技術的運用,大大提升了以軍的戰場態勢感知能力。以色列國防軍一名高級情報官員表示,這是「AI第一次成為與敵人作戰的關鍵組成部分和戰力放大器」。以色列軍方認為,使用AI帶來了“超認知能力”,甚至直接稱其為“第一場人工智慧戰爭”。

各國為搶佔技術制高點,加緊軍事智慧化戰略佈局

人工智慧被視為第四次工業革命的關鍵性戰略技術,為謀求在新一輪顛覆性技術爭奪中獨佔鰲頭,以美國為首的世界軍事科技強國圍繞軍事智能化加緊戰略佈局,可謂緊鑼密鼓、不遺餘力。

美國企圖依賴人工智慧維持其軍事霸權。自2016年以來,美國防部連續推出《為人工智慧的未來做好準備》《國家人工智慧研究與發展戰略規劃》《國防部人工智慧戰略》等文件,將人工智慧發展提升至國家戰略層面。五角大廈為確立由自己主導的“戰爭規則”,相繼制定了人工智慧技術研發規劃、重點專案設想和技術標準規範等,著力建構研發生產和作戰運用體系。概括起來看,美軍對未來人工智慧發展的佈局大致可分為近、中、遠三個階段。第一階段,2025年前,以無人化、隱身化、遠程化作戰平台為發展重點,建構“全球監視打擊體系”,無人系統成為美軍軍事幹預的主要手段。第二階段,2035年前,以智慧化作戰平台、資訊系統、指揮決策系統為發展重點,初步建成智慧化作戰體系,無人系統將超過有人系統,居於作戰的主導地位。第三階段,2050年前,以強人工智慧、奈米機器人、腦聯網等技術為發展重點,全面實現作戰平台、資訊系統、指揮控制智慧化,推動作戰空間向生物空間、奈米空間、智慧空間拓展,努力尋求智慧化作戰體系進入高階階段。

美軍各軍種也相繼推出並不斷更新其人工智慧發展規劃。地面無人自主系統有《美國地面無人系統路線圖》《美國機器人發展路線圖》等,計畫在2030年實現有人與無人的智慧編隊、協同行動,2040年實現合成兵力機動。空中無人自主系統有專項的無人機發展規劃,長遠目標是形成覆蓋高、中、低空,大、中、小微型,普通與長航時完備的空中無人裝備體系。海上無人自主系統分兩個方向,一個是打造新型水下作戰體系,利用多個無人潛航器組成機動式一體化偵察、偵測、打擊網絡,組成「先進水下無人艦隊」;另一個是加速發展水面無人艦艇,在水面無人艇「人機合作」方面取得突破。此外,美國防部也與工業界、學術界和盟國建立夥伴關係,確保獲得最先進的人工智慧技術支援。

俄羅斯在人工智慧領域也提出了自己的戰略計畫。近年來,俄羅斯總統普丁高度重視人工智慧發展,他提出,無論對俄羅斯或全人類,人工智慧都是未來,誰成為這個領域的領導者,誰就會脫穎而出,進而獲得巨大的競爭優勢,人工智慧關係國家未來。俄總參謀長格拉西莫夫稱,俄軍正透過人工智慧裝備「發展非核手段戰略威懾力量」。俄國國防部長紹伊古則表示,俄軍正加緊進行軍用機器人的研發、列裝工作,戰鬥機器人將投入量產。

早在2014年11月,俄羅斯就通過了2025年前發展作戰機器人計劃,提出2025年機器人系統將佔整個武器和軍事技術系統的30%。 2015年12月,普丁簽署「成立國家機器人技術發展中心」總統令,從戰略層面為人工智慧的發展提供了體制支撐。近幾年,俄羅斯先後推出了《未來俄軍用機器人應用構想》《2030年前人工智慧國家發展戰略》《2021—2025年俄聯邦國防計畫》等戰略規劃,開展了各種複雜作戰環境下的兵棋推演,研究人工智慧對戰略、戰役和戰術等各層面的影響,努力建構多層次相互智能化、相互智能化體系的無個人化作戰。

從中長目標來看,攻擊無人裝備是俄羅斯發展的重點。 2019年,俄羅斯總統普丁在俄聯邦安全會議上提出,未來10年俄軍將大力發展能在戰場上執行任務的戰鬥機器人系統。近期目標,是2025年建造具有一定自主控制能力的多功能戰鬥機器人部隊。根據資料介紹,該部隊將由5種機器人組成,每種機器人都可以獨立劃分為作戰單元,可在無需人工或僅需很少人工幹預下,基本完成戰場作戰任務。目前,俄軍已啟動重型和輕型機器人「突擊」及「戰友」系統的試驗設計工作。有專家分析,戰鬥機器人部隊或將成為俄獨立的、具有全新意義的兵種。

美國拉攏盟友備戰AI戰爭,人工智慧軍備競賽加劇。近年來,美國為維持在人工智慧領域的絕對領先地位,在加緊推進自身人工智慧軍事化建設的同時,也以服務聯盟作戰體系為名,試圖拉攏盟友共同開發聯合操作人工智慧系統。根據美國「防務新聞」網站報道,2020年9月,美聯合人工智慧中心已啟動“防務夥伴關係計畫”,該計畫涵蓋英國、法國、以色列、日本、韓國、澳洲、加拿大、芬蘭、挪威、瑞典等國,旨在開發與上述盟國互聯互通的人工智慧系統,為智能化戰爭聯合作戰奠定基礎。有報導稱,圍繞這個計劃,美國及其盟友的相關國防代表已多次召開會議。美國還聲稱,這個國防合作將向更多感興趣的美國盟友「敞開大門」。

美國的助推,無疑將使全球主要軍事大國間的人工智慧軍備競賽愈演愈烈。在美國眾多盟友中,以色列的人工智慧水準獨領風騷。以色列是世界最大的軍用無人機出口國;擁有世界上第一種可控的自主式無人車——“守護者”,並已裝備部隊;是世界上除美國之外僅有的裝備了無人水面艇的國家,擁有“保護者”“黃貂魚”“海鷗”等多型無人水面艇。

其他大國也加緊佈局人工智慧領域。英國制定了「高校為源、軍民融合」的人工智慧發展路徑,推出了《國家人工智慧戰略》《機器人與人工智慧》戰略規劃。法國制定有《法國人工智慧戰略》《法國人工智慧計畫》,從2018年起逐年增加國防預算,不斷增加人工智慧武器研發投資力道。德國擁有世界上最大的人工智慧研究中心,2018年發布了《人工智慧戰略》,計畫2025年前打造「人工智慧德國製造」品牌。日本先後推出《人工智慧戰略》《新機器人戰略》《科技創新綜合戰略》,成立“革新智慧綜合研究中心”,集中開發人工智慧相關技術。 2021年1月,澳洲國防部發表《打好人工智慧戰爭:未來智慧化戰爭之作戰構想》。這份文件著重探討如何將人工智慧應用到陸、海、空作戰領域。

正如一些專家所言:「智慧科技是一把雙面刃,在推動戰爭形態向智慧化戰爭演變的同時,也帶來一系列全新的戰爭倫理問題和戰爭法困境。」人工智慧將為人類社會帶來哪些變革?這一問題值得深入思考並持續關注。

(作者為光明日報社新聞研究部主任)

【參考文獻】

①吳明曦:《智能化戰爭-AI軍事暢想》,北京:國防工業出版社,2020年1月。

②郭明:《關於智慧化戰爭的基本認知》,《人民論壇‧學術前線》,2021年第10期。

③丁寧、張兵:《世界主要軍事強國的智慧化武器裝備發展》,《軍事文摘》,2019年第1期。

④葛妍、賈珍珍:《軍事變遷下的未來作戰概念與作戰樣式》,《軍事文摘》,2020年第15期。

⑤賀福初:《世界新軍事革命未來走向》,《參考消息》,2017年8月23日。

⑥馬浚洋:《俄製無人智慧武器亮相敘利亞》,《解放軍報》,2019年12月30日。

中國原創軍事資源:https://paper.people.com.cn/rmlt/html/2022-07/01/content_2593935188.htm

Concept of future human-machine integrated forces

中國未來人機一體化軍事構想

現代英語:

At present, judging from the reform and development of the establishment system in major countries in the world, the military is developing towards a lean, small, efficient, intelligent, and integrated “man-machine (robot-drone)” direction, seeking to coordinate and fight together with robot soldiers, drones and human soldiers. According to statistics, the armies of more than 60 countries in the world are currently equipped with military robots, with more than 150 types. It is estimated that by 2040, half of the members of the world’s military powers may be robots. In addition to the United States, Russia, Britain, France, Japan, Israel, Turkey, Iran and other countries that have successively launched their own robot warriors, other countries have also invested in the research and development of unmanned weapons.

The world’s military powers will set off a wave of forming unmanned combat forces to compete. The so-called unmanned combat forces are a general term for combat robots or battlefield killing robot systems. With the development of various types of information-based, precise, and data-based weapons and equipment, intelligent platforms have become the driving force for pre-designed battlefields, combat robots have become the main force on the battlefield, and the combination of man and machine has become the key to defeating the enemy. In the future, battlefield space forces will highlight the three-dimensional unmanned development trend of land, sea, and air.

USA Today once published an article titled “New Robots Take War to the Next Level: Unmanned Warfare,” which described unmanned warfare like this: drone fleets swarm in, using sophisticated instruments for detection, reconnaissance, and counter-reconnaissance; after locking onto a target, they calmly launch missiles; automatically programmed unmanned submarines perform a variety of tasks including underwater search, reconnaissance, and mine clearance; on the ground battlefield, robots are responsible for the delivery of ammunition, medical supplies, and food… In future wars, these may become a reality.

On land, various robots that can perform specific tasks are highly integrated mobile strike platforms with mechanization, informatization, and intelligence. For example, unmanned tanks are unmanned tracked armored platforms that are mainly controlled by their own programs. They can be remotely controlled by soldiers, and are dominated by long-range attack intelligent weapons and informationized weapons. They can automatically load ammunition and launch autonomously, and carry out long-range indirect precision strikes, effectively reducing the casualties of soldiers. In the ocean, various unmanned submarines, unmanned warships, etc. can sail thousands of miles and perform various maritime combat missions without the need for onboard personnel to operate. In the air, the human-controlled drone system deployed in actual combat is a drone system platform with its own reconnaissance and judgment, human control, integrated reconnaissance and attack, autonomous attack, and human-machine collaboration.

The use of drone weapons in wars highlights their combat capabilities, which will inevitably lead the armies of countries around the world to form unmanned combat units in full swing. In the Iraq War, the United States began to test the actual combat capabilities of unmanned combat vehicles. In March 2013, the United States released a new version of the “Robotics Technology Roadmap: From the Internet to Robots”, which elaborated on the development roadmap of robots, including military robots, and decided to invest huge military research funds in the development of military robots, so that the proportion of unmanned combat equipment of the US military will increase to 30% of the total number of weapons. It is planned that one-third of ground combat operations in the future will be undertaken by military robots. It is reported that the US military deployed the first future robot combat brigade (including at least 151 robot warriors) before 2015. In 2016, the US military conducted another experimental simulation test of the “modular unmanned combat vehicle” in a multinational joint military exercise. In 2020, the US Pentagon issued a contract with a price tag of 11 million US dollars to form a “combined arms squad” with the ability to cooperate with humans and robots, and plans to complete the construction of 15 future combat brigades by 2030. All squad members have human-like vision, hearing, touch and smell, can send information and attack targets in a timely manner, and can even undertake tasks such as self-repair and vehicle maintenance, transportation, mine clearance, reconnaissance, and patrol. The US Daily Science website reported that the US Army has developed a new technology that can quickly teach robots to complete new crossing actions with minimal human intervention. The report said that the technology can enable mobile robot platforms to navigate autonomously in combat environments, while allowing robots to complete combat operations that humans expect them to perform under certain circumstances. Currently, US Army scientists hope to cultivate muscle cells and tissues for robots for biological hybridization rather than directly extracting them from living organisms. Therefore, this combination of muscle and robot reminds the author of the half-cyborg Grace in the movie “Terminator: Dark Fate”.

On April 21, 2018, the Russian Federal Security Service (FSB) special forces launched a raid against extremist terrorists in Derbent, Dagestan, and for the first time publicly dispatched armed unmanned combat vehicles equipped with machine guns as pioneers. During the 2018 Russian Red Square military parade, the United States discovered a large number of Russian “Uranus-9” robots and other combat systems that had exchanged fire with Syrian anti-government forces in southern Syria, and showed their appearance characteristics to the audience. In August 2015, the Russian army used combat robot combat companies to carry out position assaults on the Syrian battlefield. The tracked robots charged, attacked, attracted the militants to open fire, and guided the self-propelled artillery group to destroy the exposed fire points one by one. In the end, the robot combat company took down the high ground that is now difficult for Russian soldiers to capture in one fell swoop in just 20 minutes, achieving a record of zero casualties and killing 77 enemies.

According to the British Daily Star website, after the British Army conducted a large-scale combat robot test at an event called “Autonomous Warrior 2018”, it unified drones, unmanned vehicles and combat personnel into a world-class army for decades to come. Future British Army autonomous military equipment, whether tanks, robots or drones, may have legs instead of tracks or wheels. In early 2021, after the UK held the “Future Maritime Air Force Acceleration Day” event, it continued to develop a “plug-and-play” maritime autonomous platform development system, which, after being connected to the Royal Navy’s ships, can simplify the acquisition and use of automation and unmanned operation technologies.

In addition to the development of robots by Russia, the United States, and the United Kingdom, other powerful countries have also successively launched their own robot warriors. It is expected that in the next 20 years, the world will usher in robots on land, sea, and air to replace soldiers to perform high-risk tasks. The future battlefield will inevitably be unmanned or man-machine integrated joint combat operations. The world’s military powers will launch a human-machine (drone) integrated combat experiment

The style of air combat is always evolving with the advancement of aviation technology. Since 1917, with the successful development of the world’s first unmanned remote-controlled aircraft by the United Kingdom, the family of unmanned equipment has continued to grow and develop, and various drones are increasingly active in the arena of modern warfare.

Since the 21st century, with the large number of drones being used on the battlefield, the combat style has been constantly updated. In the Gulf War, drones were limited to reconnaissance, surveillance and target guidance, but in the Afghanistan War, Iraq War and the War on Terrorism, the combat capabilities of drones have become increasingly prominent, and the combat style and methods have shown new characteristics, allowing countries around the world to see drones as a sharp sword in the air, thus opening the prelude to the integrated combat test of man-machine (drone).

It is reported that the total number of drones in NATO countries increased by 1.7 times between 1993 and 2005, reaching 110,000 by 2006. The United States, other NATO countries, Israel, and South Africa all attach great importance to the development and production of unmanned reconnaissance aircraft and multi-purpose drones.

In 2019, more than 30 countries in the world have developed more than 50 types of drones, and more than 50 countries are equipped with drones. The main types are: “password” drones, multi-function drones, artificial intelligence drones, long-term airborne drones, anti-missile drones, early warning drones, stealth drones, micro drones, air combat drones, mapping drones, and aerial photography drones. The main recovery methods: automatic landing, parachute recovery, aerial recovery, and arresting recovery.

On September 14, 2019, after Saudi Aramco’s “world’s largest oil processing facility” and oil field were attacked, the Yemeni Houthi armed forces claimed “responsibility for the incident” and claimed that they used 10 drones to attack the above facilities. On January 3, 2020, Qassem Soleimani, commander of the “Quds Force” under the Iranian Islamic Revolutionary Guard Corps, was “targeted and eliminated” in a drone raid launched by the United States at Baghdad International Airport in the early morning of the Iraqi capital. At the end of 2020, in the battle between Armenia and Azerbaijan in Nagorno-Karabakh (Nagorno-Karabakh region), it was obvious that drones played an important role in the conflict between the two sides. In particular, many military experts were shocked by the videos that the Azerbaijani Ministry of Defense kept releasing of the TB-2 “Flagship” and Israeli “Harop” suicide drones just purchased from Turkey attacking Armenian armored vehicles, artillery, cars and even infantry positions and S-300 air defense missiles. In December 2020, local conflicts in the Middle East and Transcaucasus showed that drones are playing an increasingly important role. Based on this, some military experts even predicted that the 21st century will be the “golden age” for the development of drones. Drones are bound to completely replace manned aircraft and become the “battlefield protagonist” of the 21st century.

Currently, the US Air Force plans to expand the teaming of manned and unmanned platforms between drones and manned aircraft, and by 2025, 90% of fighters will be drones. In other words, larger aircraft (F-35 fighters or F-22 fighters) can control a nearby drone fleet. For example, the F-35 fighter is like a flying sensor computer, which can obtain a large amount of data, and communicate, analyze and judge on its own, and finally upload the conclusion to the pilot’s helmet display. The pilot analyzes and processes the information obtained, formulates a combat plan based on the combat plan, battlefield situation, and weapons equipped by the formation, and then issues it to the drone… to achieve the purpose of manned aircraft commanding drones to cooperate in combat. In other words, the mixed formation of manned and unmanned aircraft will change the previous ground control to air control of drones, and the pilot will directly command the combat operations of drones. The US military envisions a modular design so that soldiers can assemble drones after taking out the parts of drones from their backpacks when needed in future battlefield operations, and can also use 3D printing drones. In August 2020, the U.S. Air Force defeated top F-16 fighter pilots in a simulated air battle with AI, which also proved that AI pilots can “think” creatively and quickly, and it may not be long before they surpass the skills of human pilots. The U.S. Navy’s new MQ-25 “Stingray” carrier-based unmanned tanker will be tested in 2021 and have initial operational capability in 2024, which will help expand the combat radius of aircraft carriers.

Since 2013, Russia has been equipped with a large number of drones, of which unmanned reconnaissance aircraft alone exceeded 2,000 by the end of 2019, most of which are light drones, such as the Kalashnikov drones that participated in the military operations in Syria. In the next step, each brigade or division-level unit of the Russian Army will have a drone company, and the airborne troops will also be equipped with a large number of drones. The Russian Northern Fleet will have a drone regiment, and some modern Russian warships will also be equipped with drones. In addition, from 2021, the “Orion” reconnaissance and strike drone developed by the Kronstadt Group will be equipped with the Russian army. This heavy drone can carry a variety of guided ammunition to perform combat missions. In addition, the Russian army is also testing two heavy drones, the “Altair” and the C-70 “Hunter”. These are enough to show that Russia has made significant progress in the field of drone research and development.

Israel is a true pioneer in the field of drones. The drones it develops are not only advanced, but also exported to other countries. It has equipped its troops with hundreds of drones, including the “Bird’s Eye” series of single-soldier drones, the “Firefly” drone, the light “Skylark-I” drone, the light “Hero” drone, the medium “Skylark-II/III” drone, the “Heron” drone, etc. In the mid-1980s, Israel had developed a land-based launch and patrol drone named “Harpy” or “Harpy”. The Harpy is a “suicide drone” capable of autonomous anti-radar attacks. It weighs 135 kg, can carry 32 kg of high explosives, and has a range of 500 km. Due to confidentiality reasons, the specific number and type of drones equipped by the Israel Defense Forces are not yet known. In order to deal with threatening targets such as enemy ground-to-ground missiles, Israel Aircraft Industries is developing a high-altitude, long-flight stealth unmanned fighter. The aircraft combines stealth technology with long-range air-to-air missiles, can carry Moab missiles, penetrate into the rear of the enemy’s battle zone, and intercept and attack ground-to-ground missiles in the boost phase.

On February 5, 2013, the British army stationed in Afghanistan used a micro unmanned helicopter for the first time to carry out front-line work of spying on military intelligence. This unmanned helicopter is equipped with a micro camera, which can transmit the captured images to a handheld control terminal in real time; it can fly around corners and avoid obstacles to identify potential dangers. Next, the UK plans to enable one manned aircraft to command five unmanned aircraft at the same time. According to a report on the website of the British “Times” on January 26, 2021, the British Ministry of Defense invested 30 million pounds to develop the first unmanned aerial vehicle force in Northern Ireland. According to reports, the contract for the design and manufacture of the prototype has been given to the American “Spirit” Aerospace Systems. The company has a branch in Belfast, and the contract is expected to provide 100 jobs. The British Ministry of Defense plans to start manufacturing the first prototype of this new type of unmanned aerial vehicle by 2025. It will be equipped with missiles, reconnaissance and electronic warfare technology equipment, becoming the British Army’s first unmanned aerial vehicle capable of targeting and shooting down enemy aircraft and avoiding surface-to-air missile attacks. Its partner manned fighters will be able to focus on missions such as electronic warfare, reconnaissance and bombing, thereby reducing costs and the high risks faced by British aircrews.

The French Navy will form its first carrier-based drone squadron at a base near Toulon, the 36F carrier-based aircraft squadron of the French Naval Aviation. The squadron will be equipped with S-100 drones and carried on the Navy’s Mistral-class amphibious landing ship. The formation of this carrier-based drone squadron reflects the French Navy’s desire to integrate drone expertise into a single professional team. Previously, the French Navy discussed the establishment of a dedicated drone squadron and the option of equipping the 31F, 35F or 36F squadrons with drones.

At the Paris Air Show in June 2004, the full-scale model of the NX70 Neuron unmanned combat aircraft displayed by the French Dassault Aviation Company rekindled people’s interest in the development of European drones. Iran, Turkey, the United Arab Emirates…some new countries have disrupted the geopolitical landscape of drones and are writing a new page.

It can be predicted that drones will become the biggest highlight in the development of weapons and equipment in various countries around the world, and become the “trump card” of land warfare, naval warfare, air warfare, and space warfare in the 21st century. It will become a new combat force in offensive and defensive operations. It can not only use the various ground attack weapons it carries to strike enemy ground military targets in frontline and deep areas, but also use air-to-ground missiles or bombs to suppress enemy air defense weapons; it can not only use weapons such as anti-tank missiles to attack enemy tanks or tank groups, but also use weapons such as cluster bombs to bomb enemy ground forces; it can not only detect targets and judge the value of targets and then launch missiles autonomously, but also deceive and interfere with enemy command and control systems, etc. The world’s military powers will set off a battle to form a “man-machine (robot drone)” integrated force

With the deepening of military-civilian integration, the rapid development of artificial intelligence technology, and the rapid development of big data, cloud computing, and the Internet of Things, not only will the development of unmanned weapons and equipment bring about tremendous changes, but it will also subvert the existing military force formation form. The “human-machine (robot-drone)” integrated intelligent army is bound to come.

In December 2015, in addition to sending traditional combat forces to the Syrian battlefield, the Russian army also sent a robot combat company mainly composed of unmanned combat platforms to participate in the battle for the first time. The company adopted a new combat mode of mixed manned and unmanned formations, built an intelligent combat system with the “Andromeda-D” automated command system as the core, and launched an attack on Hill 754.5 using a combination of full-dimensional reconnaissance and saturation attack, successfully seizing the hill. A few years ago, U.S. Navy officials in charge of expeditionary operations mentioned the vision of building a thousand man-machine combined warships, that is, a larger fleet of unmanned ships controlled by humans and coordinated with each other. The U.S. Navy announced that it plans to build an unmanned fleet of 10 large unmanned surface ships in the next five years for independent operations or joint operations with surface forces. According to the conceptual plan currently disclosed by the U.S. Navy, the unmanned fleet composed of large unmanned surface ships will mainly assist the Navy in completing highly dangerous combat missions. By combining with the Aegis combat system and other sensors, the coordinated combat capabilities of manned and unmanned systems will be enhanced. Its deployment will help reduce the demand for the number of large manned warships and reduce casualties in combat. According to the National Interest Network on January 20, 2021, the U.S. Navy Chief of Operations Michael Gilday released the “Navigation Plan of the Chief of Naval Operations” document on January 11, calling for the establishment of a mixed fleet of man-machine ships including large warships, various types of unmanned ships, submersibles and air strike equipment to prepare for all-domain operations in the new threat environment in the next few decades. The document states: “It is necessary to establish a larger fleet of underwater, surface and water platforms that meet the strategic and campaign needs of the troops, and a mixture of manned and unmanned platforms.”

In the “man-machine (robot-drone)” integrated forces, artificial intelligence technology is used to achieve an organic combination of “man-machine”, and cloud computing, new algorithms, and big data are used to formulate “man-machine” collaborative combat plans. Artificial intelligence is like an engine, big data + cloud computing is like a spaceship, and intelligent robots are astronauts. The organic combination of the three will surely add wings to the tiger and integrate man and machine. The future army is a human-machine integrated army. The squad and platoon commanders are gradually replaced by robots. Robots are gradually transformed from human control to autonomous decision-making or mind control through human brain cells. There may also be canteen-free barracks in the military camps. The military management may also be led by one or several military personnel to lead multiple or even dozens of intelligent robot teams with different division of labor tasks to complete the combat training management tasks that were previously completed by squads, platoons, and companies. Or there may be only one military commander in the command and control center for military training, and all intelligent robots in the training grounds may be controlled through video command and control for confrontation training, or remote control robot commanders may issue new training instructions, adjust task deployment, and change training grounds in real time.

The urgent need for the intelligent quality of military talents will also force the readjustment of the setting of the first-level military disciplines in the field of artificial intelligence. In the future, military academies will also open intelligent robot control disciplines, establish relevant human-machine integration laboratories and training bases, and focus on training intelligent professional military talents who understand computer control programs, intelligent design and management, image cognition, data mining, knowledge graphs, and can systematically master intelligent science and technology and have innovative consciousness. Future military talents must be proficient in intelligent technology, big data applications, and cloud computing, especially in the use of 3D or 4D printing technology to make various military equipment at any time, proficient in the control procedures, command methods, command issuance, and adjustment of tasks of intelligent robots, and proficient in the essentials of human-machine integrated autonomous combat coordination, so as to achieve the best combination of human information technology quality and efficient operation of intelligent robots. In addition, it is not ruled out that human-machine integration squads, combat simulation centers, imaginary enemy forces, combat units, intelligent headquarters, unmanned brigades, divisions, etc. will be established. By then, the military chief may also have one human and one machine, or the robot may serve as a hand or deputy.

Source: China Aviation News Author: Wei Yuejiang Editor-in-charge: Wu Xingjian 2021-03-26 08:0x

現代國語:

目前,從世界上主要國家編制體制改革發展情況看,軍隊正向精干、小型、高效、智能、“人機(機器人無人機)”一體方向發展,謀求機器人士兵、無人機與人類戰士一起並肩協同、聯合作戰。據統計,目前全球超過60個國家的軍隊已裝備了軍用機器人,種類超過150種。預計到2040年,世界軍事強國可能會有一半的成員是機器人。除美、俄、英、法、日、以色列、土耳其、伊朗等國家已相繼推出各自的機器人戰士外,其他國家也投入到這場無人化武器的研制與開發中去。

世界軍事強國將掀起組建無人作戰部隊爭鋒熱潮所謂無人作戰部隊,就是作戰機器人或者戰場殺人機器人系統的統稱。隨著各類信息化、精確化、數據化武器裝備的發展,智能化平台成為預先設計戰場的推手,作戰機器人成為戰場的主力軍,人機結合對抗成為克敵制勝的關鍵,未來戰場空間力量將凸顯陸海空三維無人化發展趨勢。

《今日美國報》曾發表的《新型機器人把戰爭帶入下一個層次:無人戰爭》一文中,這樣描述無人化戰爭:無人機編隊蜂擁而來,用精密的儀器探測、偵察與反偵察,它們鎖定目標後,從容地發射導彈;自動編程的無人潛艇,執行水下搜索、偵察、排除水雷等多種任務;地面戰場上,機器人負責彈藥、醫療補給和食物的配送……未來戰爭中,這些或許將成為現實。

在陸地,能執行特定任務的各種機器人,就是機械化、信息化、智能化高度融合的機動打擊平台。如:無人坦克,就是以自身程序控制為主的無人化履帶式裝甲平台,可讓士兵們遠程控制,以遠距離攻擊型智能化武器、信息化武器為主導,能自動裝載彈藥和自主發射,實施遠程間接精確打擊,有效降低士兵傷亡率。在海洋,各種無人潛艇、無人戰艦等,可航行數千英裡,無需船上人員操控就能執行各種海上作戰任務。在空中,實戰部署的人為控制操作的無人機系統,就是一種具有自己偵察判斷、人為控制、察打一體、自主攻擊、人機協同的無人機系統平台。

無人機武器在戰爭中的運用凸顯其作戰能力,必然牽引世界各國軍隊緊鑼密鼓組建無人作戰部隊。在伊拉克戰爭中,美國就開始對無人戰車的實戰能力進行測試。2013年3月,美國發布新版《機器人技術路線圖:從互聯網到機器人》,闡述了包括軍用機器人在內的機器人發展路線圖,決定將巨額軍備研究費投向軍用機器人研制,使美軍無人作戰裝備的比例增加至武器總數的30%,計劃未來三分之一的地面作戰行動將由軍用機器人承擔。據悉,美軍在2015年前就部署第一支未來機器人作戰旅(至少包括151個機器人戰士)。2016年,美軍在一次多國聯合軍事演習中,對“模塊化無人戰車”再次進行了試驗模擬測試。2020年,美國五角大樓發出一項標價1100萬美元的合同,以組建具有人類和機器人協同作戰能力的“聯合兵種班”,計劃2030年前完成15個未來作戰旅的全部建設工作。所有班成員,具有類似人一樣的視、聽、觸和嗅覺,能適時發出信息並對目標發起攻擊,甚至可以擔負自我維修與車輛維修及運輸、掃雷、偵察、巡邏等任務。美國每日科學網站報道稱,美陸軍研發了一種新技術,可迅速教會機器人在最低限度人為干預情況下完成新的穿越動作。報道稱,該技術可使移動機器人平台在作戰環境中自主導航,同時在特定情況下讓機器人完成人類期望其執行的作戰行動。目前,美陸軍科學家希望為機器人培育肌肉細胞和組織,進行生物雜交,而不是直接從活的有機體中提取,由此這種采取肌肉與機器人的組合,讓筆者聯想到電影《終結者:黑暗命運》中的半生化人葛蕾絲。

2018年4月21日,俄聯邦安全局(FSB)特戰隊在達吉斯坦傑爾賓特市,發動了一次針對極端組織恐怖分子的突襲行動,首次公開出動了配備機槍的武裝無人戰車打先鋒。美國在2018年俄羅斯紅場閱兵中發現了大批俄軍曾經在敘利亞南部與敘利亞反政府武裝交火的“天王星-9”機器人等作戰系統,向觀眾展示其外形特征。俄軍在2015年8月敘利亞戰場上使用戰斗機器人作戰連實施陣地攻堅戰,履帶式機器人沖鋒、打擊、吸引武裝分子開火,並引導自行火炮群將暴露火力點逐個摧毀,最後機器人作戰連僅用20分鐘就一舉攻下如今俄軍士兵難以攻下的高地,取得零傷亡斃敵77人戰績。

據英國《明星日報》網站報道稱,英國陸軍在一場名為“自主戰士2018”的活動中進行了大規模作戰機器人測試後,把無人機、無人駕駛汽車和戰斗人員統一到未來數十年穩居世界一流的軍隊中。未來的英軍自主軍用裝備,無論是坦克、機器人還是無人機,都可能會有腿而不是履帶或輪子。2021年年初,英國舉辦“未來海上航空力量加速日”活動後,繼續開發“即插即用”的海上自主平台開發系統,該系統接入皇家海軍的艦船後,可以簡化自動化和無人操作技術的獲取和使用過程。

除了俄羅斯、美國、英國研發裝備機器人外,其他有實力的國家也相續推出各自研制的機器人戰士,預計在未來20年內世界必將迎來陸海空機器人代替士兵執行高風險任務,未來戰場必將是無人化或人機結合一體化聯合作戰行動。世界軍事強國將掀起人機(無人機)一體化作戰試驗

空戰的樣式總是隨著航空科技的進步而在不斷發展變化。自1917年至今,隨著英國成功研制出世界第一架無人駕駛遙控飛機,無人裝備大家庭也不斷發展壯大,各種無人機日益活躍在現代戰爭的舞台上。

21世紀以來,隨著大量無人機被應用於戰場,作戰樣式不斷翻新。海灣戰爭中,無人機還僅僅限定於偵察監視、目標引導,可是到了阿富汗戰爭、伊拉克戰爭和反恐戰爭,無人機作戰能力日益凸顯,作戰樣式和方法呈現出新特點,讓世界各國看到無人機這把空中利劍,從此拉開人機(無人機)一體化作戰試驗序幕。

據報道,1993~2005年間,北約國家無人機總數增加了1.7倍,2006年前,這一數量達到11萬架。美國、北約其他國家、以色列、南非都非常重視無人偵察機和多用途無人機的研制和生產。

2019年,世界上大約有30多個國家已研制出了50多種類型無人機,有50多個國家裝備了無人機。主要種類:“密碼”無人機、多功能無人機、人工智能無人機、長時留空無人機、反導無人機、預警無人機、隱身無人機、微型無人機、空戰無人機、測繪無人機、航拍無人機。主要回收方式:自動著陸、降落傘回收、空中回收、攔阻回收。

2019年9月14日,沙特阿美石油公司的一處“世界最大石油加工設施”和油田遭襲擊後,也門胡塞武裝宣布“對此事負責”,並宣稱其使用了10架無人機對上述設施進行了攻擊。2020年1月3日,伊朗伊斯蘭革命衛隊下屬“聖城旅”指揮官卡西姆·蘇萊馬尼在美國對伊拉克首都巴格達國際機場凌晨發起的一場無人機突襲中被“定點清除”。2020年底,亞美尼亞和阿塞拜疆在納戈爾諾-卡拉巴赫(納卡地區)的戰斗中,無人機在雙方沖突中扮演重要角色顯而易見。尤其是許多軍事專家對阿塞拜疆國防部不斷發布剛從土耳其購買的TB-2“旗手”和以色列“哈羅普”自殺式無人機打擊亞方裝甲車輛、火炮、汽車甚至步兵陣地、S-300防空導彈畫面的視頻感到十分震撼。2020年12月,中東和外高加索地區所發生的局部沖突表明,無人機的作用正日益增大。基於此,有軍事家甚至預言,21世紀將是無人機發展的“黃金時期”,無人機勢必全面取代有人戰機,並成為21世紀的“戰場主角”。

目前,美國空軍計劃擴大無人機與有人機之間的有人與無人平台組隊,到2025年90%戰機將是無人機。也就是說,較大型飛機(F-35戰機或F-22戰機)能夠控制一支附近的無人機隊。如F-35戰斗機像一種飛行傳感計算機,能夠獲得大量數據,並自行聯系、分析和判斷,最後向飛行員的頭盔顯示屏上傳結論後,由飛行員對獲取的信息進行分析和處理,根據作戰計劃、戰場態勢、編隊配備的武器等制訂作戰方案後,再下達給無人機……實現有人機指揮無人機協同作戰的目的。也就是說,有人機與無人機混合編隊,把以往由地面控制改為空中控制無人機,由飛行員直接指揮無人機作戰行動。美軍設想采用模塊化設計,以便在未來戰場作戰需要時士兵從背包中取出無人機的零部件後組裝無人機,還可利用3D打印無人機。2020年8月,美國空軍在模擬空戰中AI擊敗了頂尖的F-16戰斗機飛行員,也有力證明AI飛行員能創造性地快速“思考”,將來可能超過人類飛行員技能為時不遠。美海軍新型MQ-25“黃貂魚”艦載無人加油機將於2021年試飛,2024年具備初始作戰能力,有利於航母艦載機擴大作戰半徑。

俄羅斯從2013年起,配備了大量無人機,其中僅無人偵察機到2019年年底已超過2000架,其中大多數是輕型無人機,如參與敘利亞的軍事行動的卡拉什尼科夫無人機。下一步,俄陸軍部隊每個旅或師級單位將分別編有無人機連,空降兵部隊也將裝備大量無人機。俄北方艦隊將編有無人機團,在俄軍一些現代化軍艦上也將配備了無人機。另外,從2021年起,由喀琅施塔得集團研發的“獵戶座”察打一體無人機裝備俄軍。這種重型無人機可搭載多種制導彈藥,執行作戰任務。此外,俄軍還在試驗“牽牛星”和C-70“獵人”兩款重型無人機。這些足以表明俄羅斯在無人機研發領域已經取得重大進展。

以色列是無人機領域真正的先驅,研制的無人機不僅先進,而且還出口其他國家,已經裝備部隊包括“鳥眼”系列單兵無人機、“螢火蟲”無人機、輕型“雲雀-I”無人機、輕型“英雄”無人機、中型“雲雀-II/III”無人機、“蒼鷺”無人機等型號數百架無人機。20世紀80年代中期,以色列已研發出名為“哈比”又稱“鷹身女妖”的陸基發射巡飛無人機。“哈比”是一種能夠自主進行反雷達攻擊的“自殺式無人機,重量為135千克,可攜帶32千克的高爆炸藥,航程為500千米。由於保密原因,目前尚不知以色列國防軍裝備無人機的具體數量和型號。為了對付敵方的地地導彈等威脅性目標,以色列飛機工業公司正在研制一種高空長航時隱身無人駕駛戰斗機。該機采用隱身技術與遠距空空導彈相結合,可攜帶莫阿布導彈,突入敵方戰區後方,攔截和攻擊處於助推階段的地地導彈。

2013年2月5日,駐扎在阿富汗的英國軍隊首次采用微型無人直升機執行刺探軍情的前線工作。這種無人直升機安裝了微型攝像機,可以將拍攝到的畫面即時傳送到手持式控制終端機;可以繞角落飛行,會規避障礙物,以辨別潛在危險。下一步,英國計劃實現一架有人機能夠同時指揮5架無人機。據英國《泰晤士報》網站2021年1月26日報道,英國國防部投資3000萬英鎊,將在北愛爾蘭研發首支無人機部隊。報道稱,設計和制造原型機的合同已交給美國“勢必銳”航空系統公司。該公司在貝爾法斯特設有分部,合同預計將提供100個工作崗位。英國國防部計劃到2025年開始制造首架這種新型無人機原型機。它將配備導彈、偵察和電子戰技術裝備,成為英軍首款能夠瞄准並擊落敵方戰機、並能規避地空導彈攻擊的無人機。與其搭檔的有人戰機將能夠專注於電子戰、偵察及轟炸等任務,從而以較低的成本和降低英軍機組人員面臨的高風險。

法國海軍將在土倫附近的某基地組建首個艦載無人機中隊,為法國海軍航空兵第36F艦載機中隊。該中隊將裝備S-100無人機,搭載於海軍西北風級兩棲登陸艦上。此次艦載無人機中隊的組建,反映了法國海軍希望將無人機專業知識融入到一個單一專業團隊的願望。此前,法國海軍內部討論了建立專屬無人機中隊,以及在31F、35F或36F中隊中配備無人機的方案。

在2004年6月舉行的巴黎航展上,法國達索飛機制造公司展示的NX70神經元無人作戰飛機的全尺寸模型,使人們對歐洲無人機的發展重新產生了興趣。伊朗、土耳其、阿聯酋……一些新的國家打亂了無人機地緣政治格局,正在書寫新的一頁。

可以預測,無人機必將成為世界各國武器裝備發展中的最大亮點,成為21世紀陸戰、海戰、空戰、天戰的“撒手鐧”,成為攻防作戰中一種新生作戰力量,既能使用自身攜帶的多種對地攻擊武器對敵前沿和縱深地區地面軍事目標進行打擊,也能使用空對地導彈或炸彈對敵防空武器實施壓制;既能使用反坦克導彈等武器對敵坦克或坦克群進行攻擊,也能使用集束炸彈等武器對敵地面部隊進行轟炸;既能發現目標、判斷目標價值後就可自主發射導彈,也能對敵方指揮控制系統進行欺騙干擾,等等。世界軍事強國將掀起組建“人機(機器人無人機)”一體部隊爭鋒

隨著軍民融合的深度推進,人工智能技術的突飛猛進,大數據、雲計算、物聯網的日新月異,不僅給無人化武器裝備發展帶來巨大變革,而且還將顛覆現有軍隊力量組建形態,“人機(機器人無人機)”一體化智能型軍隊必將到來。

2015年12月,俄軍在敘利亞戰場上除派出傳統作戰力量外,還首次成建制派出一個以無人作戰平台為主的機器人作戰連參加戰斗。該連采取有人無人混合編組的新型作戰模式,構建起以“仙女座-D”自動化指揮系統為核心的智能化作戰體系,采用全維偵察和飽和攻擊相結合的作戰方式對754.5高地發起進攻,順利奪佔高地。幾年前,負責遠征作戰的美國海軍官員就提到過打造千只人機結合戰艦的願景,即由人類控制的,由相互協同的無人艦組成的更大艦隊。美國海軍宣布,計劃未來5年打造一支由10艘大型無人水面艦艇組成的無人艦隊,用於獨立作戰或與水面部隊聯合作戰。根據美國海軍當前披露的構想方案,大型無人水面艦艇組成的無人艦隊將主要協助海軍完成高度危險的作戰任務,通過與“宙斯盾”作戰系統以及其他傳感器相結合,提升有人及無人系統的協同作戰能力,其部署將有助於減少大型有人戰艦的數量需求,減少作戰中的人員傷亡。國家利益網2021年1月20日消息,美國海軍作戰部長邁克爾·吉爾戴在1月11日發布《海軍作戰部長導航計劃》文件,呼籲建立包括大型戰艦、各型無人艦、潛航器和空襲裝備的人機混合艦隊,為未來幾十年的新威脅環境做好全域作戰准備。文件中寫道:“要建立滿足部隊戰略和戰役需求的,水下、水面和水上平台,有人與無人平台混合的更大艦隊。”

在“人機(機器人無人機)”一體部隊中,靠人工智能技術達到“人機”有機結合,靠雲計算、新算法、大數據擬制“人機”協同作戰計劃。人工智能就像一台發動機,大數據+雲計算就如宇宙飛船,智能機器人就是宇航員,三者有機結合定能如虎添翼、人機一體。未來軍隊就是人機結合軍隊,班排連長由人擔任逐步被機器人所取代,機器人由人為控制逐步轉變為機器人自主決策或者機器人通過人的腦細泡進行意念控制,軍營也可能出現無食堂軍營,部隊管理也可能出現由一名或幾名軍事人員率領多台甚至幾十台具有不同分工任務的智能機器人團隊,去完成以往班排連共同完成的戰訓管理任務,亦或是軍事訓練只有一名軍事指揮人員在指揮控制中心,通過視頻指揮控制訓練場所有智能機器人進行對抗訓練,或者遠程遙控機器人指揮員實時下達新的訓練指令、調整任務部署、變換訓練場。

對軍事人才智能素質的迫切需求,也會倒逼人工智能領域一級軍事學科的設置重新調整,未來軍隊院校也將開設智能機器人控制學科,建立有關人機結合實驗室和培訓基地,重點培訓既懂計算機控制程序、智能設計與管理、圖像認知、數據挖掘、知識圖譜,又能系統掌握智能科學與技術、具有創新意識的智能型職業化軍事人才。未來軍事人才必須熟練掌握智能技術、大數據應用、雲計算,尤其是能隨時利用3D或4D打印技術制作各種軍事裝備,精通智能機器人的控制程序、指揮方式、指令下達、調整任務,熟練掌握人機一體化自主作戰協同的要領,達到人的信息化科技素質與智能機器人的高效運作的最佳結合。此外,也不排除成立人機結合班排連、作戰模擬中心、假想敵部隊、作戰分隊、智能司令部、無人化旅、師等。屆時,軍事主官也可能人機各一或者機器人給人當下手或者副手。

中國原創軍事資源:http://www.81.cn/bq_208581/jdt_208582/9991323888.html