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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

Chinese Military Analysis of Developing Intelligent Command and Information Systems

中國軍方對發展智慧指揮資訊系統的分析

現代英語:

The era of intelligent warfare has begun. Intelligent command and information systems will become the “central nervous system” of future intelligent combat command and control, serving as a supporting means for intelligent combat command and control. Accelerating the construction of intelligent command and information systems is an inherent requirement for the development of military intelligence. Only by clarifying the essence of intelligent command and information system development, grasping the key points of intelligent command and information system research and development, and exploring the essentials of intelligent command and information system development can we better promote the construction and development of intelligent command and information systems and gain a competitive advantage in future intelligent warfare.

Clarify the key points of the development of intelligent command and information systems

Intelligent command and information systems are an inevitable choice in the development of warfare towards informationized and intelligent warfare, a natural outcome of the technological revolution, and a contemporary demand for the intelligent development of the military. Clarifying the key points of intelligent command and information system development helps to grasp the direction of its construction and establish long-term goals.

Promoting the intelligent evolution of warfare. In future intelligent warfare, the battlefield situation will change rapidly and the battlefield environment will be complex and harsh. In order to gain the initiative on the battlefield, “intellectual superiority” will become the new commanding height. Intelligent command and information systems are undoubtedly an important support for future combat command and operations. Their intelligent development can help promote the intelligent evolution of warfare and is an important foundation for gaining the initiative and seeking victory in intelligent warfare.

Supporting Intelligent Innovation in Combat Concepts. Future intelligent warfare requires corresponding combat command concepts, and intelligent command information systems are a crucial foundation for the practical application of these concepts, serving as the fertile ground for their innovation and development. New intelligent combat command concepts such as human-machine hybrid command formations, data-driven command activities, open development command models, and intelligent convergence command processes all rely on the support of intelligent command information systems. These systems will act as an extension of the human brain, breaking through the physiological limits of the human body and achieving the organic integration of the art of combat command and intelligent technology.

Promoting the intelligent transformation of combat methods. The widespread application of artificial intelligence technology in the military field has brought about significant changes in the mechanisms of combat victory. Intelligence has surpassed firepower and information power to become the primary factor determining the outcome of war. The development and construction of intelligent command and control information systems will promote the transformation of combat methods towards intelligence, shifting combat methods from the “combat network + precision-guided weapons” of the information age to the “intelligent Internet of Things + manned/unmanned combat platforms” of the intelligent age. Correspondingly, the basic combat style is evolving from “network-centric warfare” to “cognition-centric warfare”.

Focus on the key points of intelligent command and information system research and development

Command and information systems are a product of the information warfare era. With the rapid development of military intelligence and the research and practical application of intelligent warfare mechanisms, the intelligent upgrading and construction of command and information systems is urgently needed. Emphasis should be placed on key functional development aspects to create a completely new intelligent command and information system.

“Super-brain-based” decision-making. In future intelligent warfare, the battlefield information data is massive and complex, and commanders are easily overwhelmed by the “sea of ​​information,” leading to confusion and affecting command and decision-making. With the emergence of intelligent decision-making technology and “cloud brains” and “digital advisors,” a new decision-making model based on the collaboration of “human brain + artificial intelligence” is quietly taking shape. Intelligent command information systems will break through the limits of human intelligence, acting as an extension of the human brain to assist commanders in their work, transforming war decision-making from purely human brain-based decision-making to super-brain-based command and decision-making combining “human brain + artificial intelligence.”

“All-dimensional” situational awareness. Future intelligent warfare will be characterized by multi-dimensional space, diverse forces, varied tactics, and accelerated pace. A comprehensive and flexible grasp of the battlefield situation will be fundamental to commanders’ decision-making. The integrated, intelligent, and dynamic presentation of the all-dimensional battlefield situation across multiple domains is an inevitable requirement for the development of command information systems. Command information systems are expanding their perception, understanding, integration, and prediction of battlefield situations, such as target identification, threat level assessment, operational action prediction, and future battle trajectory forecasting, from land, sea, air, space, electromagnetic, and cyberspace to the cognitive and social domains, achieving “all-dimensional” situational awareness.

“Intelligent connectivity” is crucial for future intelligent warfare. This will involve numerous intelligent command and control platforms and intelligent weapon platforms, connected by intelligent information and communication systems. Like the nerves and blood vessels of the human body, intelligent information and communication systems act as a link and lubricant in intelligent warfare. Therefore, it is essential to establish a comprehensive, uninterrupted intelligent information network to support the connectivity and control of intelligent equipment, enabling intelligent optimization of the network structure, intelligent reorganization to withstand network damage, and intelligent anti-interference capabilities. This will ensure intelligent collaborative operations between platforms and maximize overall combat effectiveness.

“Unmanned” Autonomous Collaboration. The extensive use of drones in recent local conflicts worldwide, playing a crucial role in determining the course of war, has attracted widespread attention. Unmanned weaponry is the material foundation of intelligent warfare, leading to disruptive combat styles such as intrusive lone-wolf operations, manned/unmanned collaborative system sabotage operations, independent operations by unmanned system formations, and drone swarm operations. While unmanned warfare is human-led, with machines granted a degree of autonomy from the backend, enabling unmanned operations on the front lines, the unmanned battlefield is constantly evolving. Disruptions to human-machine collaboration will become commonplace. Therefore, the command and control systems of unmanned intelligent equipment platforms must be more intelligent, capable of autonomous collaborative operations based on operational objectives.

“Proactive” information defense. Intelligent warfare will inevitably face diverse and multi-dimensional information attacks from powerful adversaries. The level of information security protection capabilities directly affects the outcome of the battle for “intellectual dominance” on the battlefield and is a key aspect of the construction of intelligent command information systems. Therefore, proactive measures should be taken to actively formulate and improve network protection strategies, enrich intrusion detection capabilities and authentication and identification methods, strengthen the application of advanced information security technologies, enhance the anti-interference and anti-interference capabilities of various wireless transmission methods, and build strong intelligent traceability and countermeasure capabilities to effectively curb information attacks.

Exploring the key points of intelligent command and information system development

The development of intelligent command and information systems is not merely a matter of technological innovation; it also requires further liberating our thinking and updating our concepts. To advance the development of intelligent command and information systems, we must change the traditional approach of simply adding hardware, building large networks, and collecting and storing various types of data. We must break through existing hierarchical structures, create open and service-oriented systems, and target the needs of intelligent combat command and action, exploring and researching the key aspects of intelligent command and information system development.

Innovation Concept. Guided by innovative thinking, and drawing on the development strategies of intelligent command and information systems for building a strong military, we will explore a development path with our own characteristics, tailored to actual needs. We must break away from traditional “chimney” approaches, adhere to top-level design and overall planning of the command and information system, unify interfaces, protocols, and standards, and form an open and sustainable system architecture. We must adhere to a system development approach that combines research, development, and application, formulating short-term, medium-term, and long-term development strategies to standardize the direction of system construction and development. We must adhere to iterative upgrades and optimization strategies to continuously improve the intelligence level of various subsystems, including command and control, intelligence reconnaissance, communication, information warfare, and comprehensive support, ensuring the continuous and healthy development of the intelligent command and information system.

Focusing on Key Capabilities. Concentrating on building key capabilities of intelligent command and information systems is crucial for intelligent warfare to leverage intelligence to achieve victory, and is key to gaining the “right to win” in intelligent warfare. Algorithms, computing power, and data are not only the intrinsic driving force and support for the development of artificial intelligence, but also the core capability requirements and advantages of intelligent command and information systems. The development of intelligent command and information systems must adhere to algorithmic innovation research to improve the system’s cognitive, speed, and decision-making advantages; accelerate the research and development of next-generation computers, such as quantum computers, to provide stronger computing power support for intelligent command and information systems; and deeply mine the deeper and broader information value from massive combat data resources to seek the initiative in victory.

Collective Efforts to Overcome Challenges. The construction and development of intelligent command and information systems is one of the major projects in military intelligence. It is a complex and collaborative project involving multiple fields, disciplines, departments, and units. The construction and development of intelligent command and information systems must adhere to the spirit of collective wisdom, collaborative problem-solving, and pioneering innovation. It should target strategic and forward-looking fields such as sensors, quantum information, network communication, integrated circuits, key software, big data, artificial intelligence, and blockchain. It should be driven by high-tech advancements and the demands of intelligent warfare, conducting in-depth research and exchanges across multiple fields, levels, and forms to continuously break through, innovate, and upgrade, making the functions of intelligent command and information systems more complete and intelligent.

Collaborative Development. To deeply promote the construction and development of intelligent command and information systems, it is essential to fully absorb advanced local technological achievements and integrate into the global trend of artificial intelligence innovation. Currently, artificial intelligence technology is booming worldwide, accumulating strong development momentum and technological advantages. Artificial intelligence technology has strong versatility in application, and its technological achievements have broad prospects for transformation and application, making it an important pathway to the construction and development of intelligent command and information systems. It is necessary to research and formulate general technical standards, break down barriers, overcome obstacles, and facilitate military-civilian cooperation to achieve the sharing and linkage of technological achievements. Through collaboration, it is also crucial to cultivate and shape new types of military personnel, enabling them to continuously adapt to the needs of various positions under intelligent conditions and fully leverage the effectiveness of intelligent command and information systems.

現代國語:

智慧化戰爭時代序幕已經拉開,具有智慧化特徵的指揮資訊系統將成為未來智慧化作戰指揮的“中樞神經”,是智慧化作戰指揮控制的支撐手段。加速智慧化指揮資訊系統建設是軍事智慧化發展的內在要求,只有明晰智能化指揮資訊系統發展要義,抓住智慧化指揮資訊系統研發要點,探索智能化指揮資訊系統發展要津,才能更好地推動智能化指揮資訊系統建設發展進程,贏得未來智能化作戰制勝先機。

明晰智能化指揮資訊系統發展要義

智慧化指揮資訊系統是戰爭形態朝向資訊化智能化戰爭發展的必然選擇,是科技革命發展的必然結果,也是軍事智能化發展的時代訴求。明晰智能化指揮資訊系統發展要義,有助於把脈智能化指揮資訊系統建設方向,確立系統發展長遠目標。

助推戰爭形態智能化演進。未來智能化作戰,戰場形勢瞬息萬變、戰場環境復雜嚴酷,要想在戰場上取得主動,「制智權」成為新的製高點,而智能化指揮資訊系統無疑是未來作戰指揮和行動的重要支撐手段,其智能化發展可助推戰爭形態向智能化演變,是智能化作戰贏得先機、謀求勝利的重要依托。

支撐作戰理念智能化創新。未來智慧化作戰,需要與之相適應的作戰指揮理念,而智慧化指揮資訊系統是作戰指揮理念實踐運用的重要依托,是智慧化作戰指揮理念創新、發展的土壤。如人機混合指揮編組、數據驅動指揮活動、開放發展指揮模式、智能聚力指揮過程等智能化作戰指揮新理念,都離不開智能化指揮信息系統的支撐,智能化指揮信息系統將作為人腦的外延,突破人體生理極限,實現作戰指揮藝術和智能技術的有機融合。

促進作戰方式智能化轉變。人工智慧技術在軍事領域的廣泛應用,使得作戰制勝機理發生重大變化,智慧超越火力、資訊力,成為決定戰爭勝負的首要因素。智慧化指揮資訊系統建設發展將促進作戰方式向智慧化轉變,使得作戰方法從資訊時代的「作戰網絡+精確制導武器」向智慧時代的「智慧物聯網+有人/無人作戰平台」轉變、基本作戰樣式相應地從「網絡中心戰」向「認知中心戰」演進。

抓住智慧化指揮資訊系統研發點

指揮資訊系統是資訊化戰爭時代的產物,隨著軍事智慧化的快速發展、智慧化作戰制勝機理的研究和實踐運用,指揮資訊系統智慧化升級建設迫在眉睫。應突顯功能研發點,打造全新智慧化指揮資訊系統。

“超腦化”輔助決策。未來智能化作戰,戰場資訊數據量龐大且複雜多變,指揮員在指揮過程中易陷入「資訊海洋」而導致資訊迷茫,影響指揮決策。隨著智慧輔助決策技術和「雲端大腦」「數字參謀」的出現,以「人腦+人工智慧」協作為基本方式的新決策模式正悄悄形成。智慧化指揮資訊系統將突破人類智力極限,作為人腦的外延,輔助指揮員工作,使戰爭決策由單純的人腦決策發展為「人腦+人工智慧」的超腦化指揮決策。

「全維化」態勢感知。未來智能化作戰,空間多維、力量多元、樣式多樣、節奏加快趨勢突出,全面靈動地掌握戰場態勢成為指揮員決策的基礎,多域一體、智能動態地呈現全維戰場態勢成為指揮資訊系統建設發展必然要求。指揮資訊系統對諸如目標識別、威脅等級估計、作戰行動預判和未來戰況走向預估等戰場態勢的感知、理解、融合和預測,正在從陸、海、空、天、電磁、網絡等空間擴展至認知域、社會域,實現「全維化」態勢感知。

「智聯化」網絡通聯。未來智慧化作戰將使用大量智慧指揮控制平台和智慧化武器平台,而連接指揮控制平台和武器平台的必然是智慧化的資訊通訊系統。如同人體的神經和血管,智慧化的資訊通訊系統在智慧化作戰中扮演連結和潤滑作用。因此,要建立全維度覆蓋、不間斷的智慧化資訊網絡,支撐智慧化裝備的連結和控制,形成網絡結構智能優化、網絡抗毀智能重組以及智能抗干擾能力,以確保平台間智能化的協同作戰,發揮最佳的整體作戰效能。

「無人化」自主協同。近期世界局部沖突中,無人機大量運用並起到決定戰爭走向的重要作用,引起了各方的廣泛關注。無人化武器裝備是智慧化作戰的物質基礎,並依此形成了顛覆式作戰樣式,如侵入式獨狼作戰、有人/無人協同體系破擊作戰、無人系統編隊獨立作戰、無人機蜂群集群作戰等。無人作戰雖是由人主導,並在後台賦予機器一定程度的自主行動權限,從而實現機器在一線無人作戰行動。然而無人作戰戰場瞬息萬變,人機協同被破壞將成為常態,無人智慧化裝備平台指控系統必須更加智慧,要能根據作戰目的進行自主協同作戰。

“主動化”訊息防禦。智慧化作戰必將面臨強敵全維多樣的資訊攻擊,資安防護能力的高低,直接影響戰場「制智權」鬥爭的勝負,是智慧化指揮資訊系統建設的關鍵環節。因此,應主動作為,積極制定及完善網絡防護策略,豐富入侵檢測能力及認證識別手段,加強資訊安全高新技術運用,強化各類無線傳輸方式的抗干擾、抗介入能力,建強智能化溯源反制能力,有效遏止資訊攻擊。

探索智慧化指揮資訊系統發展要津

智慧化指揮資訊系統發展不單單是技術的革新,更需要進一步解放思想、更新理念。推動智慧化指揮資訊系統發展,要改變傳統添硬體、建大「網」、收集存儲各類數據的思路,突破固有層級設定,打造開放式、服務型系統,瞄準智能化作戰指揮與行動需要,探索研究智能化指揮資訊系統發展要津。

創新理念。堅持以創新的思維理念為指引,借用軍事強國智慧化指揮資訊系統發展思路,結合實際需求,探索具有自身特色的發展道路。要打破傳統「樹煙囪」做法,堅持指揮資訊系統頂層設計和整體規劃,統一介面、協議和標準,形成開放式、可持續發展的系統架構佈局;堅持研建用相結合的系統研發策略,制定近期、中期、長期不同階段發展策略,規範系統建設發展方向;堅持迭代升級、優化持續策略,不斷提升指揮、長期不同階段發展策略,規範系統建設發展方向;堅持迭代升級、優化持續性策略,不斷提升指揮控制、長期不同階段發展策略、各分列系統建設發展方向;堅持版本

聚力關鍵。聚力智能化指揮資訊系統關鍵能力建設,是智慧化作戰以智聚優、以智制勝的重要依托,是智慧化作戰取得「制勝權」的關鍵。演算法、算力、數據既是人工智慧發展的內在動力和支撐,也是智慧化指揮資訊系統的核心能力要求和優勢。智慧化指揮資訊系統發展要堅持演算法創新研究,提高系統認知優勢、速度優勢和決策優勢;加快量子計算機等為代表的下一代計算機研發,為智能化指揮信息系統提供更強的算力支持;深度挖掘海量作戰數據資源中更深層次、更廣維度信息價值,謀求制勝先機。

集智攻關。智慧化指揮資訊系統建設發展是軍事智慧化的主要工程之一,是一個多領域、多學科交叉,多部門、多單位參與的大融合大聯動的攻堅工程。智慧化指揮資訊系統建設發展要堅持群策群力、集智攻關、開拓創新的精神,瞄準傳感器、量子信息、網絡通信、集成電路、關鍵軟件、大數據、人工智能、區塊鍊等戰略性前瞻領域,堅持高新技術推動、智能化作戰需求拉動,開展多領域、多層次、多形式深度研究交流,更加創新、進一步迭代創新

協作發展。深入推動智慧化指揮資訊系統建設發展,必須充分吸收地方先進技術成果,融入世界人工智慧創新發展的時代洪流。當前,世界人工智慧技術蓬勃發展,積蓄了強大發展動能和技術優勢,人工智慧技術應用通用性強,技術成果轉化應用前景廣闊,是智慧化指揮資訊系統建設發展的重要實現途徑。要研究制定通用技術標準,拆壁壘、破堅冰、暢通軍地合作,實現技術成果共享連結。要透過協作培養塑造新型軍事人才,使其不斷適應智慧化條件下各類崗位需求,充分發揮智慧化指揮資訊系統效能。

來源:解放軍報 作者:李建平 紀鳳珠 李琳 責任編輯:王鳳 2022-08-0x

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/8884917735.html

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

Professor Chen Yingwen China National University of Defense Technology Describes Military Internet of Things: Everything is Connected, Attacking & Winning from Thousands of Miles Away

國防科技大學陳英文教授闡述軍事物聯網:萬物互聯,千里之外也能攻打

現代英語:

In mid-July 2021 World Internet of Things Expo held a press conference and revealed that the expo is scheduled to be held in Wuxi in early September. At that time, the expo will be themed “Intelligently Connecting Everything and Leading the Future with Digital”, focusing on showcasing the latest achievements in the global Internet of Things field.

The Internet of Things is changing people’s daily lives, quietly changing the form of modern warfare, and promoting the development of intelligent warfare.

Professor Chen Yingwen from the National University of Defense Technology tells you about the military Internet of Things——

Everything is connected, winning thousands of miles away

■Feng Zijian, Qu Shenghui, Qi Xucong

Schematic diagram of military Internet of Things technology simulation.

A “bridge” connecting the virtual world and the real world

The so-called Internet of Things can be simply understood as an Internet that connects everything. If the Internet is a “dialogue” in the virtual world, then the Internet of Things is a “bridge” connecting the virtual world and the real world.

The application of the Internet of Things had already appeared in wars under the name of “sensor networks” more than half a century before it attracted people’s attention.

In the 1960s, the “Ho Chi Minh Trail” on the Vietnam battlefield was covered with tens of thousands of “tropical tree” vibration sensors. These sensors are like a dense “spider web”, waiting for the “prey” to arrive. Whenever a person or vehicle passes by, the sensor detects the vibration generated by the target and records data such as its direction and speed.

At this time, tens of thousands of kilometers away, in an infiltration surveillance center code-named “Task Force Alpha”, US military technicians were receiving and processing relevant information sent back by the “sensor network”. Once a Vietnamese military convoy was discovered passing by, the command center would send instructions to the US troops stationed in Vietnam, instructing fighter planes to fly over the target and carry out bombing.

Due to the limited technology at the time, the sensors could only work for a few weeks. The “spider web” carefully built by the US military ultimately failed to prevent the Vietnamese army from transporting troops and supplies.

Although this “cooperative” combat method between humans and objects did not achieve any good results in history, it has prompted Western countries led by the United States to conduct in-depth research on Internet technology and continuously explore the interconnection between humans and objects, and objects and objects. Its highly informationized advantages are highlighted in many areas of military applications.

After decades of development, some military powers have successively developed a series of military sensor network systems, including the “Smart Dust” system for collecting battlefield information, the “Lumbas” system for remotely monitoring the battlefield environment, the “Sand Straight Line” system for monitoring the movement of weapon platforms, and the “Wolf Pack” system specifically for detecting electromagnetic signals.

Among them, the detection element of the “smart dust” system is only the size of a grain of sand, but it can realize all functions such as information collection, processing and sending, thereby enhancing the ability to control information during combat.

No combat entity will become an “island”

In the world of the Internet of Things, every grain of “sand” will have its network address. For the military Internet of Things, no operational entity will become an “island”.

During the first Gulf War, many weapons and equipment transported by the US military could not be found, resulting in a large waste of war resources. The reason is that the containers transporting weapons and equipment were not clearly marked, and personnel were unable to track the location of the transported weapons and equipment, which led to the loss of a large number of weapons and equipment.

Twelve years later, during the Iraq War, the US military installed radio frequency microchips on every container shipped to the Gulf region, and placed readers and writers according to transportation and storage needs, thereby achieving full tracking of personnel, equipment, and materials, greatly improving the effectiveness of military logistics support.

Foreign research data revealed that compared with the Gulf War, the Iraq War’s sea transport volume decreased by 87%, air transport volume decreased by 88.6%, combat equipment reserves decreased by 75%, and strategic support equipment mobilization decreased by 89%.

In fact, from the moment the electronic tags are attached and the sensing systems are installed, the originally silent equipment becomes like an organic life form that can sense and communicate with each other. Through the transformation of the Internet of Things technology, each combat entity such as combat personnel and combat equipment has become a “network node”. Through perception and communication with each other, the battlefield situation is clearer and combat operations are more efficient.

Take the personnel assessment network established by the Australian Department of Defense as an example: during combat, commanders can assess the physical functions and conditions of soldiers through sensors worn by soldiers, and then combine them with satellite positioning information to obtain the physical function status of all personnel. Commanders can use this as a basis for allocating troops, which can greatly improve the efficiency of battlefield decision-making.

Military IoT technology will play a big role in future battlefields

In today’s world, there are more and more similar military news——

In June 2016, the US military launched an airstrike using drones, killing 16 Taliban members; in September of the same year, Turkish security forces killed 6 terrorists under the guidance of their domestically produced drones.

In the Nagorno-Karabakh conflict in the Middle East in 2020, a video released by Azerbaijan made many people feel the power of networked and intelligent weapons: after the drone discovered the enemy tank, it aimed and fired…

From sensing the battlefield situation to locking onto the target and then launching an attack on the target, the reason behind unmanned equipment becoming the main offensive entity is the huge support of military Internet of Things technology. This huge intelligent information network is like the “clairvoyance” and “super hearing” on the battlefield, allowing combat personnel to sit firmly in the “central military camp” and win the battle thousands of miles away.

“Everything is connected, and victory can be won thousands of miles away.” This is the development trend of military Internet of Things technology and an important feature of future intelligent warfare. In the era of the Internet of Everything, the military Internet of Things will connect several individual combat entities into intelligent combat groups and generate a smart combat system. In the future, it will only be necessary to give the smart combat system clear combat objectives, and military combat personnel will not have to participate in its execution process.

At present, the development of military Internet of Things technology still has a long way to go before it can realize the Internet of Everything, but we should be aware that when smart nodes reach a certain scale, the military Internet of Things will achieve a qualitative leap.

In future battlefields, military Internet of Things technology will surely play a big role in achieving victory through “connection”.

現代國語:

今年7月中旬,2021世界物聯網博覽會組委會召開新聞發布會透露,此次博覽會預定9月上旬在無錫舉行。屆時,博覽會將以「智聯萬物 數領未來」為主題,集中展現全球物聯網領域的最新成果。

物聯網,改變人們的日常生活,也悄悄改變現代戰爭形式,推動智慧化戰爭發展進程。

國防科技大學教授陳穎文為您講述軍事物聯網—

萬物互聯,決勝千里之外

■馮劍 曲晟暉 齊旭聰

軍用物聯網技術模擬示意圖。

連接虛擬世界與現實世界的一座“橋樑”

所謂物聯網,我們不妨將其簡單理解為物物相連的互聯網。如果說互聯網是虛擬世界中的一種“對話”,那麼物聯網則是連接虛擬世界與現實世界的一座“橋樑”。

物聯網應用,早在受到人們關注前的半個多世紀,就已在戰爭中以「傳感器網絡」之名現身。

上世紀60年代,越南戰場的「胡志明小徑」上,佈滿了數以萬計的「熱帶樹」振動傳感器。這些傳感器就像密密麻麻的「蛛網」一般,等待著「獵物」到來。每當有人員或車輛經過時,傳感器就會探測到目標產生的震動,並記錄其方向和速度等數據。

此時,數萬公裡之外,一家代號為「阿爾法特混部隊」的滲透監視中心裡,美軍技術人員在接收和處理著「傳感器網絡」回傳的相關資訊。一旦發現越軍車隊經過,指揮中心就會向駐紮在越南的美軍發出指令,讓戰機飛臨目標實施轟炸。

當時技術有限,傳感器實際工作時間只能維持幾週時間。美軍處心積慮搭建的這張“蛛網”,最終未能阻止越南軍隊對兵力和物資的運送。

雖然歷史上這次人與物「協同」的作戰方式並未取得什麼好的效果,卻推動了以美國為首的西方國家深入研究互聯技術,不斷探索人與物、物與物之間的互聯互通。其高度資訊化優勢,在軍事應用的多個領域凸顯出來。

經過幾十年發展,一些軍事強國先後研製出收集戰場資訊的「智慧微塵」系統、遠程監視戰場環境的「倫巴斯」系統、偵聽武器平台運動的「沙地直線」系統、專門偵收電磁信號的「狼群」系統等一系列軍事傳感器網絡系統。

其中,「智慧微塵」系統的探測元件只有沙粒大小,卻能實現資訊收集、處理和發送等全部功能,從而提升了作戰過程中的製資訊權能力。

沒有一個作戰實體會成為“孤島”

在物聯網世界裡,每一粒「沙子」都將擁有它的網路位址。對軍事物聯網來說,沒有一個作戰實體會成為「孤島」。

在第一次海灣戰爭中,美軍運送的許多武器裝備無從查找,造成了大量戰爭資源浪費。究其原因,是由於運送武器裝備的集裝箱標誌不清,人員對於傳送的武器裝備位置無法跟踪,進而導致武器裝備的大量遺失。

12年後,在伊拉克戰爭中,美軍給運送到海灣地區的每一個集裝箱均加裝了射頻微型晶片,並依據運輸和存儲需要安放了讀寫器,從而實現了對人員、裝備、物資的全程跟踪,使得軍事物流保障的有效性大大提高。

國外研究資料揭露,相較於海灣戰爭,伊拉克戰爭的海運量減少87%,空運量減少88.6%,戰役裝備儲備減少75%,戰略支援裝備動員量減少89%。

實際上,從貼上電子標簽、裝上感知系統的那一刻起,原本靜默的裝備就像一個有機生命體,它們可以相互感知和交流。透過對物聯網技術的改造,作戰人員、作戰裝備等每一個作戰實體都成了一個“網絡節點”,相互間通過感知與交流,讓戰場態勢更加清晰,也使得作戰行動更加高效。

以澳洲國防部所建立的人員評估網為例:作戰期間,指揮人員可通過士兵身上穿戴的傳感器,對士兵身體的機能與狀態進行評估,再結合衛星定位的位置信息,可獲得全體人員身體機能的態勢情況。指揮人員以此為依據進行兵力分配,可大幅提升戰場決策效率。

軍事物聯網技術在未來戰場上大有作為

當今世界,類似軍事新聞越來越多——

2016年6月,美軍利用無人機發動空襲,擊斃16名塔利班成員;同年9月,土耳其安全部隊在其國產無人機的指引下擊斃了6名恐怖分子。

在2020年中東地區的納卡沖突中,阿塞拜疆發布的一段視頻,讓許多人感受到了網絡化、智能化武器的力量:無人機發現敵方坦克後,瞄準、發射…

從感知戰場態勢到鎖定目標、再到對目標展開攻擊,無人裝備成為進攻主體的背後,是軍事物聯網技術的巨大支撐。這個龐大的智慧化資訊網絡,就如同戰場上的“千裡眼”“順風耳”,讓作戰人員穩坐“中軍帳”,就能決勝於千里之外。

「萬物互聯,決勝千里之外。」這是軍事物聯網技術的發展趨勢,也是未來智慧化戰爭的重要特徵。在萬物互聯的時代,軍事物聯網會將若干單一作戰實體連接成為智慧作戰群,生成智慧作戰體系。未來,只需給智慧作戰體係明確作戰目的,軍隊作戰人員不必參與其執行過程。

當前,軍事物聯網技術的發展距離萬物互聯還有很長一段路要走,但應清醒看到,當智慧節點達到一定規模後,軍事物聯網就會形成質的飛躍。

未來戰場,軍事物聯網技術必將大有作為,實現以「聯」制勝。

來源:中國軍網-解放軍報 作者:馮子劍 曲晟暉 齊旭聰 責任編輯:楊紅
2021-08-27 06:00

中國原創軍事資源:http://www.81.cn/yw_208727/10081763888.html?big=fan

Metaverse-enabled Military Training Accelerating for China’s People’s Liberation Army

元宇宙協助中國人民解放軍軍事訓練加速發展

現代英語:

Hou Chunmu and Wang Yong

The metaverse is an artificial online virtual world that is born out of, parallel to, and independent of the real world. It is parallel to the real world, reacts to the real world, and integrates a variety of high technologies. These are the three major characteristics of the future metaverse. The operation of the metaverse conforms to the natural laws of human understanding and transformation of the world, and provides a new way of thinking to understand and discover the operating behavior, state, and laws of complex real systems, as well as a new means to explore objective laws and transform nature and society. Researching the application of the metaverse in the field of foreign military training and analyzing the opportunities and challenges that the metaverse brings to the field of military training have important theoretical and practical value in solving the key problems that need to be solved in military training in the intelligent era, promoting scientific and technological training, and promoting the innovative development of military training models.

Background of Cognitive Metaverse Empowered Military Training

The scientific and technological revolution has given rise to a new ecology of military training. Driven by the new scientific and technological revolution and the industrial revolution, cutting-edge technologies such as artificial intelligence, big data, cloud computing, and the Internet of Things have accelerated their development. Technology giants have laid out the metaverse, and human real life has migrated to the virtual world more rapidly. The metaverse integrates a variety of emerging technologies, thus generating new Internet applications and new social forms that integrate the virtual and the real. Perception technology supports the integration of the virtual and the real in the metaverse, “AI+” technology supports the social nature of the metaverse, data transmission technology supports the real-time nature of the metaverse, electronic game technology supports the diversity of the metaverse, digital twin technology supports the sustainability of the metaverse, and blockchain technology supports the security of the metaverse. The future metaverse, where virtual and real are highly interconnected, is born out of, parallel to, and independent of the real world. It integrates all elements such as the Internet, virtual reality, immersive experience, blockchain, and digital twins to build a new basic ecology for intelligent military training.

The evolution of war has dominated the transformation and upgrading of military training. With the advent of the intelligent era, the war situation has accelerated its evolution towards informationization and intelligence. The informationized warfare system with “information acquisition and utilization as the core” will gradually transition to the intelligent warfare system with “intelligent simulation and expansion as the core”. The trend of long-range precision, intelligence, stealth, and unmanned weapons and equipment has become more obvious, and intelligent warfare has surfaced. At the same time, combat elements represented by artificial intelligence such as “AI, cloud, network, group, and terminal” and their diversified combinations have formed a new battlefield ecology. The metaverse has constructed a new battlefield space where virtual and real are integrated and parallel interactions occur. The traditional war winning mechanism is being profoundly changed. The development and changes in the form of intelligent warfare have compulsorily driven the transformation and reshaping of the military’s thinking and concepts, requiring the accelerated transformation and upgrading of military training, greater attention to the impact of technological development and changes on warfare, and the use of the “new engine” of training and warfare to achieve “accelerated” preparations.

Foreign militaries explore breakthroughs in military training models. In order to seize the strategic commanding heights of military intelligence, the world’s military powers attach great importance to the innovation of military training models. Some countries have begun to try to apply the metaverse and related technologies to military training. For example, the United States has successively released the National Security Strategy, the National Defense Strategy and the Department of Defense Transformation Plan, focusing on building an “all-round army” and forming a “full spectrum advantage”. It has also simultaneously formulated the Training Transformation Strategic Plan and the Training Transformation Implementation Plan, and proposed the concept of a comprehensive training environment (STE), the core of which is immersive and integrated virtual training, which intends to integrate real-time, virtual, constructive and gaming environments into a comprehensive training environment. Russia also attaches great importance to the development of virtual training systems. Almost all of its advanced weapons and equipment are equipped with corresponding virtual training systems, and are moving towards universalization and embedding. The United Kingdom, Germany, South Korea, etc. are also actively developing various professional military training virtual environments. Intelligent training supported by technologies such as artificial intelligence, virtual reality and augmented reality is gradually becoming the mainstream of military training research in powerful countries.

Clarifying the Advantages of Metaverse-Enabled Military Training

The emergence of new concepts in military training. Only by leading the opponent in thought can we gain the upper hand in action. The emergence of disruptive technologies will inevitably rewrite the current military training rules and systems, and will also innovate the existing military training thinking concepts. On the one hand, the metaverse has set off a hurricane-like “brainstorm”, and the training thinking led by “intelligence” has organically connected training with actual combat, and upgraded to intelligent military training thinking. On the other hand, new technologies and new means represented by the metaverse empower military training, strengthen the concept of winning by science and technology and intelligent drive, and greatly improve the scientific and technological content of military training, in order to control the initiative in future wars. In the future, the metaverse will create more impossible possibilities by constructing a virtual battlefield space, designing wars and evolving wars.

Innovate new theories of military training. War is the area that needs innovation the most. Military training must adapt to the development of intelligent warfare, and theoretical innovation and training practice must be driven by both. Training transformation will not happen automatically. It requires not only a sharp and profound foresight to grasp the general trend, but also a scientific, powerful and solid theory to drive forward. On the one hand, by keeping up with the development of the times and starting from new concepts and new cognition, we can build a scientific theoretical system for metaverse-enabled military training. On the other hand, by following the laws of combat-training coupling, we can establish an innovative model of intelligent military training theory with the characteristics of the times, allowing the metaverse to empower and improve the efficiency of promoting the iterative development of military training transformation.

Transform the new military training model. The combat style determines the training mode, and intelligent warfare changes the “rules of the game”. Military training for the next war must adapt to the requirements of future wars by changing the training mode. First, it can build an intelligent blue army with “both form and spirit”. With the help of optimized AI technology, powerful computing power support, and realistic performance simulation, the Metaverse follows the evolutionary process of “knowing the enemy, imitating the enemy, surpassing the enemy, and defeating the enemy” to create an intelligent blue army with platform support and data empowerment, and carry out “real” confrontation training and effect evaluation in the Metaverse space. Second, it can carry out new domain and new quality combat training. The metaverse expands the practical application path with new domains and new types of combat forces as the leading elements, highlights the research and development of training methods and tactics that are compatible with advanced combat concepts and winning mechanisms, and creates new forms of training such as unmanned and seamless human-machine collaboration, becoming a new point of combat power growth. Third, it can cultivate new types of military talents. At present, the educational metaverse has led the intelligent transformation of education. In the future, the military metaverse will accelerate the realization of intelligent interaction between people and equipment, deep integration between people and systems, and adaptive evolution between people and the environment, and promote the integrated development of “commanders” and “fighters” into “scientists” and “technicians.”

Reshape the new ecology of military training. The multi-dimensional perception, virtual-real integration, free creativity, and open development of the metaverse will make the future metaverse a fully immersive, time-transcending, self-creating and developing space. First, create a digital twin “battlefield metaverse”. The “battlefield metaverse” will be a typical manifestation of the metaverse in the military field, with stricter security and confidentiality standards, stronger simulation computing capabilities, and more real-time and detailed interaction requirements. Secondly, create a full-dimensional three-dimensional metaverse training environment. The metaverse uses technologies such as virtual reality, augmented reality, and mixed reality to create an immersive and complex scene environment; using powerful data and network support, it builds a full-dimensional space such as land, sea, air, space, electricity, and the Internet. Furthermore, a Metaverse verification platform for weapons and equipment will be built. The platform will have functions such as new weapon and equipment design demonstration, weapon and equipment performance test, weapon and equipment compatibility test, and weapon system combat effectiveness test. In the future, the Metaverse will greatly shorten the timeline for weapons and equipment to go from “weak intelligence” to “strong intelligence” and then to “super intelligence”, realizing the intelligence multiplication effect of weapons and equipment.

Grasping the Key Points of Metaverse-Enabled Military Training

Focus on top-level design. From the perspective of the development of things, the metaverse is a new thing, and its maturity has yet to be verified. Intelligent military training is also a complex, arduous and long-term system engineering, which requires strengthening strategic planning and top-level layout. We should pay close attention to the development trends and technological trends of the metaverse, and scientifically formulate the development plan of the “training metaverse”. In the context of the integration of intelligence, informatization and mechanization, we should give full play to the outstanding advantages of the metaverse, such as enabling trainees to undergo immersive experiential training, so that the metaverse can not only be a display platform for virtual technology, but also a practical platform for improving the effectiveness of military training.

Strengthen technology research and development. From a technical perspective, the Metaverse has reintegrated existing technologies in the information and intelligent technology group, proposed an overall innovative concept, and provided comprehensive application scenarios, thereby giving birth to new vitality. To accelerate the development of the “training Metaverse”, we must speed up the research on basic software and hardware technologies such as algorithm engines and network communications, strengthen the research and development capabilities of core technologies such as artificial intelligence, digital twins, blockchain, and the Internet of Things, and at the same time strengthen the overall technical design and research and development of the Metaverse, such as immersion, sociality, openness, collaboration, and decentralization.

Create training types. From the perspective of time and space, the metaverse may create a vast virtual war space, recreate the war environment, present the war process, and virtualize the future of war. An intelligent military training operation system based on the metaverse should be built, military training concepts should be updated in a timely manner, and innovations in military training models, management support, and legal mechanisms should be deepened. A dynamic and high-level combat-oriented military training environment based on the metaverse should be built to fully support strategic, campaign, and tactical training as well as war simulations. At the same time, in the process of “intelligent adaptation” of military training, we will achieve the expansion of wisdom and intelligent evolution towards the unknown space of military training with “innovation, openness, diversified iteration, and new intelligent ecology”.

Attach importance to risk prevention and control. From the perspective of safety and controllability, the concept and technology of the Metaverse brings innovative opportunities to intelligent military training, but the potential risks associated with the technology itself cannot be ignored. The Metaverse is a huge technology group, and its system architecture, key technologies, and application environment are still in the development and implementation stage. The supporting protection system, safety technology, and management standards will bring security risks. In addition, the integrated application of various emerging technologies in the construction process, the complexity and confidentiality in the application process will be the unknown factors for the key prevention and risk challenges of the Metaverse in military training.

現代國語:

侯春牧 王 勇

閱讀提示

元宇宙是脫胎於、平行、獨立於現實世界的人造線上虛擬世界,與現實世界平行、反作用於現實世界、多種高技術綜合,是未來元宇宙的三大特徵。元宇宙運行符合人類認識世界、改造世界的自然規律,提供了理解和發現現實復雜系統運行行為、狀態和規律的全新思維方式和探知客觀規律、改造自然和社會的新手段。研究元宇宙在外軍軍事訓練領域的運用,剖析元宇宙為軍事訓練領域帶來的機遇與挑戰,對破解智能化時代軍事訓練亟待解決的關鍵問題,推動科技強訓,促進軍事訓練模式創新發展,具有重要理論與實踐價值。

認知元宇宙賦能軍事訓練的背景

科技革命催生軍事訓練嶄新生態。在新科技革命和產業革命推動下,人工智慧、大數據、雲端計算、物聯網等前沿科技加速發展,科技巨頭紛紛佈局元宇宙,人類現實生活更快速向虛擬世界遷移。元宇宙整合多種新興技術,從而產生出虛實相融的互聯網新應用與社會新形態。感知技術支撐元宇宙的虛實相融性,「AI+」技術支撐元宇宙的社會性,數據傳輸技術支撐元宇宙的實時性,電子遊戲技術支撐元宇宙的多樣性,數字孿生技術支撐元宇宙的可持續性,區塊鏈技術支撐元宇宙的安全性。虛擬與現實高度互通的未來元宇宙,脫胎於、平行於、獨立於現實世界,將互聯網、虛擬現實、沉浸式體驗、區塊鍊及數字孿生等全要素融合,為智能化軍事訓練構建起全新基礎生態。

戰爭演進主導軍事訓練轉型升級。智能化時代到來,戰爭形態加速向資訊化智能化演變,以「資訊獲取利用為內核」的資訊化戰爭體系,將逐漸過渡至以「智慧模擬與拓展為內核」的智能化戰爭體系,武器裝備遠程精確化、智能化、隱身化、無人化趨勢更加明顯,智能化作戰浮出水面。同時,以「AI、雲、網、群、端」等人工智慧為代表的作戰要素及其多樣化組合,構成了新的戰場生態,元宇宙構建出虛實融生、平行互動的戰場新空間,傳統的戰爭制勝機理正在被深刻改變。智慧化戰爭形態發展變化,強制性驅動軍隊思維理念的變革重塑,要求加快實現軍事訓練轉型升級,更加重視科技發展變化對戰爭的影響,以練戰「新引擎」跑出備戰「加速」。

外軍探索開啟軍事訓練模式突破。為搶佔軍事智慧化戰略制高點,世界軍事強國高度重視軍事訓練模式創新,有的國家開始嘗試應用元宇宙及相關技術運用在軍事訓練方面。如美國先後發布《國家安全戰略》《國家防務戰略》和《國防部轉型計劃》,圍繞打造“全能型軍隊”、形成“全頻譜優勢”,同步製定了《訓練轉型戰略計劃》和《訓練轉型實施計劃》,並提出了綜合訓練環境(STE)理念,其內核是沉浸式、集成虛擬訓練,擬將實時、虛擬、建設性和環境到綜合培訓環境到綜合培訓中。俄羅斯也高度重視虛擬訓練系統開發,其先進武器裝備幾乎都配有相應虛擬訓練系統,並且正朝著通用化和嵌入化方向發展。英國、德國、韓國等也都積極發展各種專業軍事訓練虛擬環境。以人工智慧、虛擬現實與增強現實等技術為支撐的智慧化訓練,正逐漸成為強國軍隊訓練研究的主流。

明晰元宇宙賦能軍事訓練的優勢

萌發軍事訓練新理念。在思想上領先對手,才能在行動上贏得先機。顛覆性技術的出現必將改寫現行的軍事訓練規則制度,也必將革新現有的軍事訓練思維理念。一方面,元宇宙掀動颶風式的“頭腦風暴”,以“智”引領的練兵思維將訓練與實戰有機銜接起來,升級成智能化軍事訓練思維。另一方面,以元宇宙為代表的新技術新手段賦能軍事訓練,強化科技制勝、智慧驅動理念,大幅提升軍事訓練科技含量,以期掌控未來戰爭主動權。未來元宇宙透過構設虛擬戰場空間,設計戰爭並演化戰爭,將創造出更多不可能的可能性。

創新軍事訓練新論。戰爭是最需要創新的領域。軍事訓練要順應智慧化戰爭發展,理論創新與訓練實踐必須雙輪驅動。訓練轉型不會自動發生,既需要敏銳而深邃的前瞻性眼光把握大勢,更需要科學而強大的堅實理論驅動前行。一方面,緊跟時代發展,從新觀念新認知出發,可以建構元宇宙賦能軍事訓練的科學理論體系。另一方面,遵循戰訓耦合規律,可以建立具有時代特色的智慧化軍事訓練理論創新模式,讓元宇宙為推進軍事訓練轉型迭代發展賦能提效。

變革軍事訓練新模式。作戰樣式決定著訓練模式,智慧化戰爭改變著“遊戲規則”,預演下一場戰爭的軍事訓練必須通過變革訓練模式,來適應未來戰爭要求。一是能夠建造「形神兼備」的智慧藍軍。元宇宙藉由優化的AI技術、強大的算力支撐、逼真的效能仿真,依照「知敵、像敵、超敵、勝敵」的演化進程,打造以平台支撐、數據賦能等綜合集成的智能藍軍,並在元宇宙空間開展「真實」的對抗訓練和效果評估。二是能夠開展新域新質作戰研練。元宇宙拓展新域新質作戰力量為主導要素的實戰化運用路徑,突顯與先進作戰概念、制勝機理相適應的訓法戰法的研練,開創無人化、人機無縫協同等新樣式訓練,成為新的戰鬥力增長點。第三是能夠培養新型軍事人才。當前,教育元宇宙已經引領了教育智慧化變革。未來軍事元宇宙將加速實現人與裝備智慧互動、人與體系深度融合、人與環境適應進化,推動「指揮者」「戰鬥員」向「科學家」與「技術家」融合發展。

重塑軍事訓練新生態。元宇宙的多維感知性、虛實融合性、自由創造性、開放發展性等特點,使未來元宇宙將成為完全沉浸式的、超越時空的、自我創造發展的空間。首先,打造數字孿生的「戰場元宇宙」。 「戰場元宇宙」將是元宇宙在軍事領域的典型表現形態,具有更嚴格的安全保密標準、更強大的仿真計算能力、更實時的精細交互要求。其次,創造全維立體的元宇宙訓練環境。元宇宙運用虛擬現實、增強現實以及混合現實等技術,創造沉浸複雜的場景環境;利用強大的數據、網絡支撐,搭建起陸、海、空、天、電、網等全維空間。再者,建造武器裝備的元宇宙驗證平台。該平台將具備新型武器裝備設計論證、武器裝備性能試驗、武器裝備相容性試驗、武器系統體係作戰效能檢驗等功能。未來元宇宙將大幅縮短武器裝備從「弱智」到「強智」再到「超智」的時間軸,以實現武器裝備的智慧倍增效應。

掌握元宇宙賦能軍事訓練的重點

著重頂層設計。從事物發展上看,元宇宙作為新生事物,發展成熟尚待驗證。智慧化軍事訓練又是一項複雜、艱巨且長期的系統工程,需要加強戰略籌劃與頂層佈局。應密切關注元宇宙發展動向與技術趨勢,科學制定「訓練元宇宙」的發展規劃,在智慧化、資訊化、機械化「三化」融合的現實背景下,充分發揮元宇宙能讓受訓者沉浸式體驗式訓練等突出優勢,讓元宇宙不能只是虛擬技術的展示平台,而應成為提高軍事訓練效益的實踐平台。

加強技術研發。從技術意義上看,元宇宙把資訊化智能化技術群中已有的技術重新整合到了一起,提出了整體性創新性概念,給出了綜合性的應用場景,從而煥發出了新的生命力。加速「訓練元宇宙」的發展,要加速演算法引擎、網路通訊等基礎軟硬體技術研究,強化人工智慧、數字孿生、區塊鏈、物聯網等核心技術的研發能力,同時也要加強沉浸性、社交性、開放性、協作性、去中心化等元宇宙整體性技術設計與研發。

創設訓練種類。從時空視角來看,元宇宙可能構造出龐大無比的虛擬戰爭空間,重現戰爭環境,呈現戰爭進程,虛擬戰爭未來。應建構基於元宇宙的智慧化軍訓運行體系,及時更新軍事訓練思維理念,深化軍事訓練模式、管理保障、法規機制等創新。建構基於元宇宙的動態高階的實戰化軍事訓練環境,全面支持戰略、戰役和戰術訓練以及戰爭推演。同時,在軍事訓練「智適應」運作過程中,實現拓展生慧,向「創新開放、多元迭代、新智生態」的軍事訓練未知空間智能演進。

重視風險防控。從安全可控上看,元宇宙概念與技術為智慧化軍事訓練帶來創新機遇,但不容忽視的是技術本身伴生的潛在風險。元宇宙龐大的技術群,其體系架構、關鍵技術和應用環境等尚處於開發落地階段,配套防護體系、安全技術、管理標準等都會帶來安全風險,加上建設過程中多種新興技術的集成運用,運用過程中的復雜性與保密性,都將是軍事訓練元宇宙重點防範和風險挑戰的未知數。

來源:中國軍網-解放軍報 作者:侯春牧 王勇 責任編輯:於雅倩 出版:2024-01-16 06:50

中國原創軍事資源:http://www.81.cn/yw_208727/16280522.html

AI integrated into Chinese Armed Forces: PLA Strategic Support Force Developed Artificial Intelligence Innovation Capabilities

人工智慧融入中國軍隊:解放軍戰略支援部隊發展人工智慧創新能力

現代英語:

Artificial Intelligence ( AI ) technology has advanced by leaps and bounds in recent years . All major powers have developed advanced AI capabilities and attempted to effectively integrate AI into their armed forces. Beijing has also released an ambitious plan to make China a global leader in advanced artificial intelligence by 2030. Chinese Communist Party leader Xi Jinping also reiterated at the 20th Party Congress that China should attach equal importance to the development of artificial intelligence and “intelligent warfare.”

Although China’s strategic goals in the field of artificial intelligence are clear, how it will integrate artificial intelligence into the People’s Liberation Army remains opaque. But at least the recently established PLA Strategic Support Force (SSF) provides some clues: the organization has been given an innovative mission and is responsible for integrating multiple “strategic functions.” To effectively understand the Strategic Support Force, we need to explore whether it will have a “game-changing” impact in future conflicts, where mastery of the information domain and effective integration of artificial intelligence may determine victory or defeat.

The PLA’s “Joint Operationality”: Strategic Support Force

The PLA underwent major reforms in 2015, partly motivated by the need to shift the PLA’s force focus from land territorial defense to extended force projection to ensure China’s strategic interests in areas such as space, cyber warfare and the far seas. A key element of these reforms is the creation of the Strategic Support Force, which concentrates tasks in these broad areas.

The Strategic Support Force (SSF) is tasked with integrating many “strategic” functions and capabilities previously dispersed across the PLA, including space, cyber, information, and psychological warfare. Today, the Strategic Support Force consists of two departments covering these functions: the Space Systems Department, which is responsible for all space-related missions; and the Cyber ​​Systems Department, which undertakes the PLA’s broad information warfare activities.

The ultimate goal of the Strategic Support Force is to gain information advantage, achieve decision-making advantage, and thus achieve ultimate victory. Analysts recently concluded that its mission is likely to support the pursuit of information superiority and can be divided into two categories: providing strategic information superiority and support capabilities to the PLA’s top leadership, including counter-space operations and offensive cyber warfare, and providing information support services to theater military commands.

The Strategic Support Force appears to be designed to enhance the PLA’s “jointness,” or its ability to conduct joint operations. Historically, the PLA has faced challenges integrating joint operations due to the difficulty in innovating and implementing new command and control and intelligence, surveillance, and reconnaissance capabilities. Because the information support provided by the Strategic Support Force is likely to include “intelligence, surveillance and reconnaissance to achieve operational and strategic objectives”, some experts believe that the Strategic Support Force plays a key role in improving the overall joint combat effectiveness of the PLA.

The SSF also appears to have several mechanisms in place to develop or acquire technology in order to carry out its mission effectively. While the SSF is not the only agency within the PLA with this function, the SSF is responsible for more AI-related equipment contracts than any other service in the PLA. For example, the Strategic Support Force has made significant investments in artificial intelligence innovation, leveraging citizen partnerships to acquire new technologies such as intelligence, surveillance and reconnaissance, autonomous vehicles, information and electronic warfare, simulation and training, and target identification.

On December 31, 2015, the founding ceremony of the leadership bodies of the People's Liberation Army (PLA) Ground Force, the PLA Rocket Force, and the PLA Strategic Support Force was grandly held at the Bayi Building in Beijing. Xi Jinping awarded military flags to the Army, Rocket Force and Strategic Support Force and delivered a speech. Photo/Xinhua News Agency
On December 31, 2015, the founding ceremony of the leadership bodies of the People’s Liberation Army (PLA) Ground Force, the PLA Rocket Force, and the PLA Strategic Support Force was grandly held at the Bayi Building in Beijing. Xi Jinping awarded military flags to the Army, Rocket Force and Strategic Support Force and delivered a speech. Photo/Xinhua News Agency

PLA Artificial Intelligence Innovation

The U.S. National Security Council pointed out in its 2022 final report that “while artificial intelligence will be widely used in all fields, the large amount of data associated with space, cyber, and information operations makes these application cases particularly suitable for priority integration of AI technology in war simulations, exercises, and experiments.” This is exactly the area where the Strategic Support Force operates.

Many of the Strategic Support Force’s functions involve processing a variety of diverse, large volumes of rapidly changing information flows at speeds exceeding human capacity, making them excellent candidates for the application of artificial intelligence. For example, AI can help create and maintain situational awareness and can be used for prediction by collecting, integrating and analyzing information. AI can also be used to analyze the consequences and planning of potential actions and conduct war simulations.

However, actual command decisions are made by the theater military command or the Joint Chiefs of Staff. At the same time, the development of AI for decision-support applications may be the responsibility of other PLA components, such as the National University of Defense Technology and the Academy of Military Sciences, rather than the Strategic Support Force. Nevertheless, in providing information support to these decision makers, the Strategic Support Force is likely to play an important role in human-machine interface interaction with such artificial intelligence systems, thereby effectively supporting decision making.

At the same time, of the twelve major military applications currently being developed by the PLA, at least five are closely related to the missions of the Strategic Support Force, namely smart satellites, intelligence, surveillance and reconnaissance software, automated cyber attack software, cognitive electronic software, and possible automated vehicles, including:

  1. Space Battle
  2. Cyber ​​Warfare
  3. Electronic warfare
Schematic diagram. The picture shows facial recognition technology demonstrated at the "Security China" held in Beijing, China in 2018. Photo/Associated Press

While many applications of AI within the SSU mission area can be identified today, the most important long-term impacts may be difficult to predict. Furthermore, the AI ​​plans proposed in China’s national white paper are not consistent with actual innovation progress.

In fact, most of China’s major investments in AI appear to be business-related and have little to do with military missions. Some assessments suggest that previous estimates of China’s current AI capabilities may be overstated. This means that it is not possible to immediately see the effective integration of artificial intelligence into the PLA’s mission areas, but the Strategic Support Force does have the mission of gaining information advantages to achieve decision-making advantages and ultimate victory.

As for artificial intelligence, it means that the Strategic Support Force must integrate artificial intelligence applications to make up for the PLA’s weaknesses in ensuring and utilizing information advantages. But this does not mean that the Strategic Support Force will become the focus of the PLA’s overall artificial intelligence innovation.

While many of the SSF’s missions are amenable to AI and there may be synergies between missions for applying AI, it is unclear which applications the SSF will use, whether these synergies are feasible, and whether the SSF has the capability to execute them. There will inevitably be a certain degree of prioritization in innovation for specific AI applications that are differentiated across different tasks.

China is determined to become a global leader in artificial intelligence and apply its technology to military missions to suppress U.S. advantages in the Indo-Pacific region. In many ways, the SSF has the advantages to achieve these goals, including a relaxed policy environment that promotes innovation, the SSF’s clear innovation responsibilities, and senior leadership support for “smartness.” The SSF also builds partnerships with China’s high-tech commercial sector and academia. These efforts are consistent with China’s military-civil fusion agenda, which aims to overcome barriers that prevent the People’s Liberation Army from acquiring resources from the commercial sector.

Schematic diagram. Photo/Associated Press
Schematic diagram. Photo/Associated Press

Obstacles to the Strategic Support Force’s Implementation of the PLA’s Innovation Plan

However, the Strategic Support Force also faces huge obstacles in implementing the People’s Liberation Army’s innovation-driven plan. The SSF and the PLA as a whole will face several challenges in AI applications, including attracting and retaining high-quality high-tech talent and mainland China’s inability to domestically develop and manufacture advanced logic and memory chips that are critical to developing cutting-edge AI—a clear weakness now that the United States has disrupted its supply of high-end semiconductors. In addition, research institutions in the United States and other Western countries are now increasingly cautious about collaborating with Chinese researchers in fields such as artificial intelligence, which have significant military potential.

The PLA’s limited combat experience has led to a lack of relevant “real and empirical” data, which may hinder the development of decision-making support artificial intelligence systems. More importantly, unless the PLA focuses on understandable, trustworthy AI, the use of AI systems with opaque operations, uncertain effective areas, and uncertain failure modes could cause serious damage.

For the national army , although there may be some limitations and uncertainties in the military application of artificial intelligence, with the continuous development and maturity of artificial intelligence technology, its application potential in the military field is still huge. As technology advances, we can expect to see more artificial intelligence systems introduced into military applications to improve operational efficiency and combat effectiveness.

However, to ensure that artificial intelligence technology can be robustly applied to military missions, it is necessary to strengthen technology research and development and testing, ensure the safety and reliability of the system, and rationally plan and manage the use of artificial intelligence technology. Only in this way can we better utilize artificial intelligence technology to enhance the information-based combat effectiveness of our military and achieve stronger and more robust combat capabilities.

現代國語:

近年來人工智能(Artificial Intelligence, AI)技術突飛猛進,所有主要大國都發展先進的AI能力,並試圖將AI有效地融入武裝力量。北京亦發佈雄心勃勃之計畫,要求2030年將中國建設成為全球先進人工智能強國。中共領導人習近平亦於第20次黨代表大會再次強調,中國應於人工智慧領域發展與「智慧戰爭」 並重。

雖然中國大陸於人工智能領域的戰略目標明確,但其如何將人工智能融入解放軍仍然是不透明的。但至少,最近成立的解放軍戰略支援部隊(Strategic Support Force, SSF)提供了一些線索:該組織賦予了創新任務,負責整合多種「戰略功能」。為了有效理解戰略支援部隊,探究它是否將在未來衝突中產生「改變遊戲規則」的影響,其中掌握資訊領域和有效整合人工智能可能決定勝負。

解放軍的「聯合作戰性」:戰略支援部隊

2015年解放軍軍隊進行重大改革,部分動機是將解放軍武力重點從陸地領土防禦轉向延伸武力投射,以確保中國在太空、網絡戰和遠海等領域的戰略利益。這些改革的主要關鍵要素即為成立戰略支援部隊,集中了這些廣泛領域中的任務。

戰略支援部隊(SSF)的任務是整合先前分散在解放軍各部隊的許多「戰略」職能和能力,包括太空、網絡、資訊與心理戰等。如今,戰略支援部隊由兩個部門組成,涵蓋了這些職能:太空系統部門,負責所有與太空有關的任務;網路系統部門,承擔解放軍廣義的資訊戰活動。

戰略支援部隊最終目標是獲得資訊優勢,實現決策優勢,從而取得最終勝利。分析家最近得出結論,其任務很可能是支援追求資訊優勢,並可分為兩類:為解放軍最高層領導提供戰略資訊優勢和支援能力,包括反太空行動和攻擊性網絡戰,以及向戰區軍事指揮部提供資訊支援服務。

戰略支援部隊設計似乎旨在提升解放軍的「聯合作戰性」,或其進行聯合作戰的能力。歷史上,因新的指揮掌控與情報、監視和偵察能力的創新和實施方面實存在困難性,解放軍在整合聯合作戰方面面臨挑戰。因戰略支援部隊提供的資訊支援很可能包含「情報、監視和偵察,以實現作戰和戰略目標」,一些專家認為戰略支援部隊在提高解放軍整體聯合作戰性方面起到了關鍵作用。

為了有效遂行任務,戰略支援部隊似乎還擁有若干機制來開發或取得技術。雖然戰略支援部隊並非解放軍內唯一承擔此功能的機構,戰略支援部隊負責與人工智能相關的裝備合約比解放軍的任何一個服務都要多。例如戰略支援部隊在人工智慧創新方面進行了大量投資,利用公民合作夥伴關係來獲取情報、監視和偵察、自主車輛、資訊與電子戰、模擬與訓練、以及目標識別等新技術。

2015年12月31日,中國人民解放軍陸軍領導機構、中國人民解放軍火箭軍、中國人民解放軍戰略支援部隊成立大會在北京八一大樓隆重舉行。習近平授予陸軍、火箭軍、戰略支援部隊軍旗並致訓詞。 圖/新華社
2015年12月31日,中國人民解放軍陸軍領導機構、中國人民解放軍火箭軍、中國人民解放軍戰略支援部隊成立大會在北京八一大樓隆重舉行。習近平授予陸軍、火箭軍、戰略支援部隊軍旗並致訓詞。 圖/新華社

解放軍人工智慧創新

美國國家安全委員會於2022年最終報告中指出,「雖然人工智能將在所有領域普遍應用,但與空間、網絡和信息作戰領域相關的大數據量,使得這些領域的應用案例特別適合優先整合AI技術應用於戰爭模擬、演習和實驗。」而這正是戰略支援部隊所運營的領域。

戰略支援部隊許多功能涉及處理各種多樣、大量和快速變化之信息流,處理速度超過人類容量,都是應用人工智能的絕佳候選領域。例如,人工智慧可以幫助創建和維持態勢感知,透過收集、整合和分析信息,也可用於預測;另人工智能還可於分析潛在行動的後果與規劃、進行戰爭模擬。

然而實際指揮決策則由戰區軍事指揮部或聯合參謀部負責。同時,用於決策支援應用的人工智慧的開發可能由其他解放軍組成部分,如中國國防科技大學和軍事科學院,並非由戰略支援部隊負責。儘管如此,在為這些決策者提供資訊支援方面,戰略支援部隊很可能在與此類人工智慧係統進行人機界面互動發揮重要作用,並進而有效支援決策制定。

與此同時,解放軍刻正開發的十二個主要軍事應用中,至少五個與戰略支援部隊的任務密切相關,分別是智慧衛星、情報、監視和偵察軟件、自動化網絡攻擊軟件、認知電子軟件以及可能的自動化車輛,包含:

太空戰
對於太空戰,解放軍可能探索應用人工智能,內含用於管理大規模衛星;與在地球觀測資料集分析(處理和目標識別衛星圖像);認知無線電技術,一種「智慧」無線電技術,旨在藉由自主切換頻道來避免干擾和擁擠,從而使空間通訊更加高效;自主衛星操作,以彌補有限的帶寬和延遲與減輕地面衛星操作員的工作負荷。

網路戰
網路戰,即為網路安全和電子戰都依賴於即時處理大量資料以識別威脅並更新防禦措施。如藉由人工智能引導對敵對網絡的指引,亦可同時支援技術偵察和網絡攻擊。此任務處於戰略支援部隊的職責範圍內,此部隊的創立旨在鞏固解放軍在網路安全和電子戰方面的聯繫。自動化還可以提高網絡防禦的速度和規模,減輕先前解放軍面臨的限制。

電子戰
人工智能亦可協助電子戰,增強電子戰系統的自主性。如人工智能可以識別和分類雷達或通訊系統的信號,檢測和分類幹擾器,提高幹擾信號的到達方向估計,開發高效的抗干擾協議與即時更新防禦措施(認知電子戰)。


示意圖。圖為2018年中國北京舉行的「安全中國」(Security China)上展示的人臉辨識技術。 圖/美聯社

雖然目前可確定戰略支援單位任務範圍內許多人工智能的應用,但最重要的長期影響可能難以預測。此外,中共國家白皮書中提出的人工智慧計劃並非與實際的創新進展一致。

實際上,中共於人工智能大部分重要投資似乎與商業相關,與軍事任務關係不大。一些評估先前關於中國當前人工智能能力的估計可能過於誇大。意謂不可能立即看到人工智能有效整合於解放軍的任務領域,但戰略支援部隊確實賦予提取信息優勢以實現決策優勢和最終勝利的任務。

至於人工智能方面,意謂戰略支援部隊必然整合人工智能應用,以彌補解放軍在確保和利用資訊優勢方面之弱點。但這不意謂戰略支援部隊將成為解放軍整體人工智慧創新的焦點。

儘管戰略支援部隊的許多任務均適用於人工智能,而且在任務之間可能存在應用人工智能的協同效應,但目前尚不清楚戰略支援部隊將使用哪些應用,這些協同效應是否具有可行性,與戰略支援部隊是否有能力執行。對於在不同任務中具有差異的特定人工智慧應用,創新中必然會存在一定程度的優先考慮。

中國決心成為全球人工智慧領域領導者,並將其技術應用於軍事任務,以壓制美國在印太地區的優勢。在許多方面,戰略支援部隊都具備説明實現這些目標的優勢,包括寬鬆的政策環境促進創新、戰略支援部隊明確的創新職責以及高層領導對「智慧化」的支持。戰略支援部隊也與中國的高科技商業部門和學術界建立合作關係。這些努力與中國的軍民融合協議一致,旨在克服妨礙解決中國人民解放軍從商業部門獲取資源屏障。

戰略支援部隊執行解放軍創新計畫的障礙

不過戰略支援部隊在執行中國人民解放軍創新驅動計畫時,亦面臨巨大障礙。戰略支援部隊和解放軍總體上將在人工智能應用面臨一些挑戰,包括吸引和留住高素質高科技人才,與中國大陸無法於國內研發和製造對開發尖端人工智能至關重要的先進邏輯和存儲芯片——這是目前美國已中斷對高端半導體的供應所導致的明顯弱點。此外,美國和其他西方國家的研究機構現在對與具有重大軍事潛力的人工智能等領域的中國研究人員進行合作越來越謹慎。

根據解放軍有限的戰鬥經驗,導致了相關「實踐實證」資料匱乏,可能妨礙發展決策支援人工智慧系統。更重要的是,除非解放軍專注於可理解、值得信賴的人工智能,否則使用具有不透明操作、不確定有效區域和不確定故障模式的人工智能係統可能會造成嚴重損害。

對於國軍而言,儘管人工智能於軍事應用可能存在一些限制和不確定性,但隨著人工智能技術的不斷發展和成熟,其在軍事領域的應用潛力仍然巨大。隨著技術的進步,我們有望看到更多人工智慧係統被引入軍用應用中,提高作戰效率和戰鬥力。

然而,要確保人工智能技術能夠穩健地應用於軍事任務中,需要加強技術研發和測試,確保系統的安全性和可靠性,以及合理規劃和管理人工智能技術的使用。只有這樣,我們才能更好地利用人工智慧技術來提升國軍資訊化戰鬥力,並實現更強大、更穩健的作戰能力。

中國原創軍事資源:https://opinion.udn.com/opinion/story/123525/7360758884

China’s Military Era of Intelligence Calls for Training to Transform into “Smart Warfare”

中國軍事智能化時代呼喚訓練向「智慧戰爭」轉型

現代英語:

Zeng Haiqing

introduction

At present, a new round of scientific and technological revolution and military revolution is developing rapidly. Disruptive technologies represented by artificial intelligence are accelerating the evolution of war to intelligent warfare. Winning intelligent warfare has gradually become the focus of military competition among powerful countries. As a pre-practice of war, military training should take a new step towards intelligence in a timely manner, realize the transformation to “intelligence”, train soldiers with “intelligence”, continuously improve the scientific and technological level and “intelligence content” of military training, and help accelerate the generation of intelligent combat capabilities.

Keeping up with the changes in the war situation, upgrading the concept of intelligent training

With the acceleration of the intelligent era, high-tech has been widely used in the military field, which is causing major changes in the concept, elements and methods of winning wars. The size of the army and the number of equipment are no longer the key to winning a war. It is imperative to upgrade the war thinking and training concepts. We should follow the development trend of intelligence with a more proactive attitude and a more open vision, and advocate new thinking in intelligent military training.

Grasp the internal mechanism of intelligent victory. The winning mechanism is the manifestation of the internal laws of war. Driven by the intelligent revolution, driven by strategic competition, and guided by war practice, the advantages of information-generated intelligence and intelligence-enabled capabilities are becoming increasingly apparent, reflected in actuarial science, jointness, systems, and other aspects. To a certain extent, it can be said that the higher the “intelligence”, the higher the quality level of combat and training can be. Therefore, an army whose training thinking remains at the mechanized level will never be able to keep up with the pace of intelligent warfare no matter how it is trained. We should have a “brain storm” with the courage of self-revolution, upgrade the concept of intelligent warfare, strengthen the theoretical research of intelligent training, deal with the problems of mechanized, informationized, and intelligent warfare with the thinking of training troops with “intelligence”, organically connect training and fighting, design wars with advanced technology, and rehearse wars with intelligent means, so as to clear up the fog of intelligent warfare.

Establish the goal of “strengthening the strong”. At present, the military of developed countries is implementing a training transformation with an emphasis on intelligence, trying to further widen the gap in combat power with the military of other countries. Once the military gap is widened, it will be difficult to make up. If you can’t keep up, you may be completely controlled by others. Only by keeping a close eye on the opponent can you surpass the opponent. We must highlight the goal of “strengthening the strong” in military training, and improve the level of military intelligence and asymmetric combat capabilities in training.

Strengthen the goal positioning of science and technology empowerment. Science and technology are the core combat power. Driven by science and technology, the combat power form has leaped from mechanical energy type and information energy type to intelligent type. Traditional siege-style large-scale troop operations are gradually withdrawing from the historical stage, and cutting-edge competition in high-tech and emerging fields is becoming increasingly fierce. If military training does not improve its scientific and technological content, it will only be able to linger at a low level and it will be difficult to open the door to intelligent warfare. To this end, we should firmly establish the concept of winning through science and technology, firmly grasp scientific and technological innovation, the “life gate” and “key point” to winning future wars, greatly improve the scientific and technological content of military training, and increase the practical application of new technologies and new means such as artificial intelligence, cloud computing, and big data, so as to unveil the mystery of intelligent warfare and control the initiative in future wars.

Keep up with the changes in technological development and strengthen intelligent training conditions

Intelligent training conditions are the basic support for organizing and implementing intelligent military training, and are directly related to the quality and effectiveness of intelligent training. To build an intelligent training environment, we need to keep a close eye on the development of intelligent concepts, intelligent technology, and intelligent warfare, and continue to work hard in building a training environment, innovating training methods, and cultivating new talents.

Construct a realistic battlefield environment. Intelligent warfare has a wider space, a wider range of fields, and more diverse methods. The battlefield environment construction under the conditions of simple mechanization and informatization can no longer support the needs of intelligent training. We should highlight the elite confrontation, rapid confrontation, and joint confrontation under the support of intelligent conditions, fully tap the potential of existing training methods and training venues, strengthen the application of technologies such as big data analysis, smart wearable devices, and machine “deep learning”, and effectively integrate various fields such as land, sea, air, space, electricity, and the Internet. For example, use digital maps, virtual reality and other technologies to simulate and display intuitive three-dimensional terrain, weather and complex combat situations, and construct vivid and realistic intelligent actual combat scenes.

Develop advanced training methods. Advanced training methods are helpful to improve training effectiveness. Intelligent military training should grasp the key factor of intelligent “data-centricity” and transform the latest scientific and technological achievements into training conditions. We should focus on strengthening data linkage and integration, creating a “data pool” covering strategy, campaign, and tactics, and connecting command organizations to end-users; developing data intelligent analysis tools, integrating and mining combat data with the help of advanced technologies such as cloud computing and artificial intelligence; developing intelligent training systems, increasing the construction of simulation training methods such as simulation, war game confrontation, network confrontation, and intelligent decision-making, and overall promoting the transformation and upgrading of military training methods to “technology +” and “intelligence +”.

Cultivate new military talents. No matter how the war situation evolves, people are always the real controllers and final decision-makers of war. The quality of military personnel’s intelligence level determines the quality and effect of intelligent training to a certain extent. To win the information-based local war with intelligent characteristics, we should accurately match future military needs, strengthen the intelligent training of traditional combat force talents, make good use of “technology +”, “maker +”, “think tank +” power resources, promote the integrated development of “commanders”, “combatants” and “scientists” and “technicians”, and forge a new type of professional and intelligent military talent group to achieve intelligent interaction between people and equipment, deep integration between people and systems, and extensive adaptation between people and the environment.

Strengthen support for intelligent equipment. At present, the world’s major military powers attach great importance to the development of intelligent equipment. New equipment such as unmanned “swarms” and unmanned submarines are emerging in an endless stream, supporting intelligent military training while constantly testing and improving them in training practice. To this end, we should make full use of the overall coordination mechanism of war construction, vigorously promote the “+ intelligence” of existing equipment and the “intelligent +” construction of a new generation of equipment, insist on researching, building, using and improving, and improve the intelligence level of weapons and equipment through breakthroughs in training practice. We should work on both ends to achieve a multiplier effect, shorten the timeline of weapons and equipment from “weak intelligence” to “strong intelligence” and then to “super intelligence”, and better support intelligent military training.

Keeping up with the changes in war practices, innovating intelligent training models

The combat style determines the training mode. After years of development, military intelligence has moved from theoretical exploration to battlefield practice. In recent local wars, intelligent warfare has begun to show its edge and has shown the potential to change the “rules of the game” of war. As the combat style changes, the training mode must also change and change proactively. We must keep a close eye on the characteristics of intelligent warfare, innovate intelligent military training models, and fully rehearse the next war in military training.

Highlight high-end warfare research and training. We should focus on cracking the essence of high-end warfare by strengthening the enemy, continue to deepen research on strengthening the enemy, and use the development of new combat concepts and training theories as a starting point to understand the development laws and winning mechanisms of high-end warfare. We should predict future wars and design combat styles from a high-end perspective, and pool wisdom and innovation to research unique, clever, and high-level strategies to defeat the enemy. We must emphasize key actions such as joint missile defense, target strategic campaign and tactical training to force strong organizations to defeat the strong with the weak, target practical training for asymmetric checks and balances to win decisive battles in high-end organizations, target extended training in new domains such as the far sea and far domain for all-domain confrontation organizations, seize high positions in future wars through innovative training, and develop combat capabilities that are “one step ahead in intelligence” and “one step ahead in skills” against powerful enemies.

Emphasize the training of new-type forces. The transformation of war from winning by force and equipment to winning by wisdom has made new-type combat forces a new growth pole of combat power. According to information, the US military plans to achieve intelligentization of 60% of ground combat platforms by 2030, and the Russian military expects that the proportion of intelligent weapons and equipment will exceed 30% by 2025. As the army has more and more new equipment with intelligent attributes, it should move away from the actual combat training path with new-type combat forces as the dominant element, highlight the formation and combat use of new-type combat forces, carry out training methods and tactics that are compatible with the new domain combat concept and winning mechanism, increase new types of training such as unmanned combat, promote the integration of new-type forces into the combat system, and make new-type combat power resources move and come alive.

Emphasize intelligent command training. No matter how the war situation evolves, command capability is always the key to winning the war. As the intelligence level of war continues to increase, planning and command based solely on experience and personal wisdom can no longer adapt to the ever-changing battlefield situation. Artificial intelligence decision-making training has become an inevitable trend to improve the efficiency of combat mission planning, combat planning, and command and control. We should focus on commanders and command organizations, which are the key to the system’s operations, seek breakthroughs in the scientific nature, accuracy, and timeliness of command planning, and rely on new technologies such as “big data” and “AI algorithms” and new methods such as “engineering” and “one network” to promote the upgrading of command planning from “human intelligence” training to “human intelligence + intelligence” training. We should judge the enemy’s situation, formulate plans, and determine actions through actuarial and detailed calculations, so as to achieve the goal of defeating the slow with the fast and getting the upper hand over the enemy.

(Author’s unit: Central Theater Command)

現代國語:

■曾海清

引言

當前,新一輪科技革命和軍事革命快速發展,以人工智慧為代表的顛覆性技術,正加速推動戰爭形態向智慧化戰爭演變,打贏智能化戰爭逐漸成為強國軍事競爭的焦點。軍訓作為戰爭的預實踐,應該及時邁開智能化新步伐,實現向“智”轉型、以“智”練兵,不斷提高軍事訓練科技度和“含智量”,助力智能化作戰能力加快生成。

緊跟戰爭形態之變,升級智慧化訓練概念

隨著智慧化時代的加速到來,高新技術在軍事領域廣泛應用,正引發戰爭制勝理念、制勝要素、制勝方式發生重大變化。軍隊規模、裝備數量已不再是決定戰爭勝負的關鍵,升級戰爭思想和訓練理念勢在必行。我們當以更主動的姿態、更加開放的視野,緊跟智慧化發展趨勢,倡導智慧化軍事訓練新思維。

把握智能製勝的內在機理。制勝機理是戰爭內在規律的表現。在智慧革命驅動下、戰略競爭推動下、戰爭實踐牽引下,資訊生智、以智賦能的優勢愈發顯現,體現在精算、聯合、體係等各個面向。在某種程度上,可以說「智」有多高,戰與訓的品質水準就能夠達到多高。所以,一支訓練思維停留在機械化層面的軍隊,如何訓練都不可能跟上智慧化戰爭的腳步。應該以自我革命的勇氣來一場“頭腦風暴”,升級智能化作戰理念,加強智能化訓練理論研究,以以“智”練兵思維處理機械化、信息化、智能化作戰問題,把訓練和打仗有機銜接起來,用先進技術設計戰爭,用智慧手段演練戰爭,從而廓清智能化戰爭的迷霧。

立起向強制強的標靶指向。目前,發達國家軍隊正實施以智慧化為重點的訓練轉型,試圖進一步拉大與其他國家軍隊的戰力代差。軍事上的代差一旦拉開將很難追回,一步跟不上就可能徹底受制於人,只有盯緊對手才可能超越對手。要把向強制強在軍訓中突出出來,在練兵中提高軍事智慧化水準和非對稱作戰能力。

強化科技賦能的目標定位。科技是核心戰鬥力。在科技驅動下,戰鬥力形態已經從機械能型、資訊能型向智能型躍升,傳統攻城略地式大兵團作戰正逐步退出歷史舞台,高科技、新興領域的尖端較量日趨激烈。軍事訓練若不提高科技含量,將只能在低層次徘徊,很難叩開智能化戰爭的大門。為此,應該樹牢科技制勝理念,緊緊抓住科技創新這一制勝未來戰爭的“命門”和“要穴”,大幅提高軍事訓練科技含量,加大人工智能、雲計算、大數據等新科技新手段的實踐運用,從而揭開智慧化戰爭的神秘面紗,掌控未來戰爭主動權。

緊跟科技發展之變,建強智能化訓練條件

智慧化訓練條件是組織實施智慧化軍事訓練的基礎支撐,直接關乎智慧化訓練質效。建構智慧化的訓練條件環境,需要我們緊盯智慧理念、智慧科技和智慧化作戰的發展,在構設訓練環境、創新訓練手段、培育新型人才等方面持續用力。

構設逼真戰場環境。智慧化作戰,空間更加廣闊、領域更廣泛、方式更加多元,單純機械化資訊化條件下的戰場環境構設已無法支撐智慧化訓練需求。應突顯智慧化條件支撐下的精兵對抗、快速對抗、聯動對抗,充分挖潛現有訓練手段及訓練場地功能,加強大數據分析、智慧穿戴設備、機器「深度學習」等技術應用,把陸、海、空、天、電、網等各個領域有效融合起來,例如利用數字地圖、虛擬現實等技術模擬顯示形象直觀的三維地貌、天候氣象和復雜交戰態勢,構建生動、逼真的智能化實戰場景。

發展先進訓練手段。先進的訓練手段,有助於提升訓練成效。智慧化軍事訓練應掌握智慧化「以數據為中心」這個關鍵因素,把最新科技成果轉化為訓練條件。應著重加強數據連結融合,打造覆蓋戰略、戰役、戰術,貫通指揮機構到末端單兵的「數據池」;開發數據智慧分析工具,借助雲計算、人工智慧等先進技術,整合挖掘作戰數據;開發智慧演訓系統,加大模擬模擬、兵棋對抗、網絡對抗、智慧裁決等模擬訓練手段建設,整體推動軍事訓練手段向「科技+」「智慧+」轉型升級。

培養新型軍事人才。無論戰爭形態如何演變,人始終是戰爭的真正控制者和最終決策者。軍事人員智能化程度的優劣,某種程度上決定了智慧化訓練的品質效果。要打贏具有智慧化特徵的資訊化局部戰爭,應該精準對接未來軍事需求,加強傳統作戰力量人才智能化培育,用好“科技+”“創客+”“智庫+”力量資源,推動“指揮員」「戰鬥員」與「科學家」「技術家」融合發展,鍛造專業化、智慧化的新型軍事人才群體,實現人與裝備智慧互動、人與體系深度融合、人與環境廣泛適應。

強化智能裝備支撐。目前,世界主要軍事強國都高度重視智慧裝備發展,無人「蜂群」、無人潛航器等新裝備層出不窮,一邊支撐智慧化軍事訓練,一邊又在訓練實踐中不斷檢驗完善。為此,應充分以好戰建備統籌機制,大力推進現有裝備「+智慧」與新一代裝備「智慧+」建設,堅持邊研邊建邊用邊改,以訓練實踐突破提升武器裝備智慧化水平,兩端發力實現倍增效應,縮短武器裝備從“弱智”到“強智”再到“超智”的時間軸,更好地支撐智能化軍事訓練。

緊跟戰爭實踐之變,創新智能化訓練模式

作戰樣式決定訓練模式。軍事智能化經過多年發展,已經從理論探索走向戰場實踐。近年來的局部戰爭中,智慧化作戰已經初露鋒芒,並顯現出改變戰爭「遊戲規則」的潛力。作戰樣式變了,訓練模式也要跟著變、主動變。要緊盯智慧化戰爭特點,創新智慧化軍事訓練模式,在軍事訓練中充分預演下一場戰爭。

突顯高端戰爭研練。要立足強敵打高端戰爭這個基點,突顯破解高端戰爭本質,持續深化強敵研究,以開發新型作戰概念和訓練理論為抓手,搞清高端戰爭發展規律和製勝機理。從高端的視角預判未來戰爭、設計作戰樣式,集智創新研究克敵制勝的奇招、妙招、高招。要突顯聯合反導等關鍵行動,瞄準向強制強組織以劣勝優的戰略戰役戰術訓練,瞄準決勝高端組織非對稱制衡實戰訓練,瞄準全局對抗組織遠海遠域等新域延伸訓練,在創新訓練中搶佔未來戰爭高位,形成對強敵「智高一籌」「技高一籌」的作戰能力。

突顯新質力量研練。戰爭從力勝、器勝到智勝的轉變,使得新型作戰力量成為戰鬥力新的成長極。據資料介紹,美軍計畫在2030年實現60%地面作戰平台智能化,俄軍預計2025年智慧化武器裝備佔比將超過30%。隨著軍隊具有智慧屬性的新裝備越來越多,應走開以新質作戰力量為主導要素的實戰化練兵路子,突顯新質作戰力量編成、作戰運用,開展與新域作戰概念、制勝機理相適應的訓法戰法,加大無人作戰等新樣式訓練,推動新質力量融入作戰體系,讓新質戰鬥力資源動起來、活起來。

突出智能指揮研練。無論戰爭形態如何演變,指揮能力始終是能打勝仗的關鍵能力。隨著戰爭智能化程度不斷提高,僅憑經驗和個人智慧進行籌劃和指揮已不能適應瞬息萬變的戰場局勢,人工智慧決策訓練已成為提升作戰任務規劃、作戰籌劃、指揮控制效率的必然趨勢。應該扭住指揮員和指揮機構這個體係作戰關鍵,在指揮籌劃科學性、精確性、時效性上求突破,依托「大數據」「AI演算法」新技術和「工程化」「一張網」新手段,推動指揮謀劃由「人智」訓練向「人智+機智」訓練升級,在精算深算細算中判敵情、立方案、定行動,達到以快吃慢、先敵一手。

(作者單位:中部戰區)

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/4916122888.html