Tag Archives: Winning Localized War under Conditions of Informationization

Analyzing the Forms of Chinese Military Intelligent Combat

分析中國軍事情報作戰的形式

現代英語:

Operational form refers to the manifestation and state of combat under certain conditions, and is usually adapted to a certain form of warfare and combat method. With the development and widespread use of intelligent weapon systems, future intelligent warfare will inevitably present a completely different form from mechanized and informationized warfare.

  Cloud-based combat system

  The combat system is the fundamental basis for the aggregation and release of combat energy. An informationized combat system is based on a network information system, while an intelligent combat system is supported by a combat cloud. The combat cloud can organically reorganize dispersed combat resources into a flexible and dynamic combat resource pool. It features virtualization, connectivity, distribution, easy scalability, and on-demand services, enabling each combat unit to acquire resources on demand. It is a crucial support for achieving cross-domain collaboration and represents a new organizational form for intelligent combat systems.

  The cloud-supported combat system utilizes cloud technology to connect information, physical systems, and the ubiquitous Internet of Things. By configuring combat resource clouds at different levels and scales, it highly shares multi-dimensional combat data across land, sea, air, and space, achieving battlefield resource integration across combat domains such as land, sea, air, space, electronic, and cyber domains. This allows various combat elements to converge into the cloud, completing the network interaction of battlefield data.

  The cloud-connected combat system enables joint operations to integrate battlefield intelligence information widely distributed across various domains—space, air, ground, sea, and underwater—with the support of big data and cloud computing technologies. This allows for seamless, real-time, and on-demand distribution of information across these domains, achieving cross-domain information fusion and efficient sharing. It also enables command structures at all levels to leverage intelligent command and control systems for multi-dimensional intelligence analysis, battlefield situation assessment, operational optimization, decision-making, operational planning, and troop movement control. Furthermore, it allows combat forces to rapidly and flexibly adjust, optimize configurations, and recombine online based on real-time operational needs, forming adaptive task forces and implementing distributed, focused operations, supported by highly integrated cross-domain information technology. At the same time, through the cross-domain fusion capability of battlefield information in the combat cloud, it is also possible to form an integrated combat force with intelligent combat forces, traditional combat forces, manned combat forces and unmanned combat forces, and intangible space combat forces and tangible space combat forces. In the cloud, different combat units and combat elements in land, sea, air, space, electronic, and cyberspace can be highly integrated, coordinated, and have their strengths maximized. This enables cross-domain and cross-generational collaborative operations, transforming the overall combat effectiveness from the past gradual release and linear superposition of combat effects to non-linear, emergent, adaptive effects fusion and precise energy release.

  Decentralized and concentrated battlefield deployment

  Concentrating superior forces is an age-old principle of warfare. With the continuous improvement of network information systems and the widespread use of intelligent weapon systems, various combat forces, combat units, and combat elements can dynamically integrate into and rely on joint operations systems, disperse forces, quickly switch tasks, and dynamically aggregate effectiveness to cope with complex and ever-changing battlefield situations. This has become a force organization form that distinguishes intelligent warfare from information warfare.

  The battlefield deployment of dispersed and concentrated forces refers to the joint operations system supported by cloud computing, in which various participating forces rely on the high degree of information sharing and rapid flow. Through node-based deployment, networked mobility, and virtual centralization, it can combine various combat elements, weapon platforms, and combat support systems that are dispersed in a multi-dimensional and vast battlefield space in real time, dynamically and flexibly, so as to achieve the distributed deployment of combat forces, the on-demand reorganization of combat modules, and the cross-domain integration of combat effectiveness.

  The dispersed and concentrated battlefield deployment enables commanders at all levels to deeply perceive and accurately predict the battlefield situation through big data analysis, battlefield situation collection, and multi-source intelligence verification by intelligent command information systems. This allows for rapid and efficient situation assessment and early warning. Furthermore, the wide-area deployment and flexible configuration of various combat forces and units enable timely responses based on predetermined operational plans or ad-hoc collaborative needs. This allows for flexible and autonomous cross-domain coordination, rapid convergence and dispersal, and dynamic concentration of combat effectiveness. At critical times and in critical spaces, focusing on key nodes of the enemy’s operational system and high-value targets crucial to the overall strategic situation, it rapidly forms a system-wide operational advantage. Through a highly resilient and networked kill chain, it precisely releases combat effectiveness, generating an overall advantage spillover effect, thus forming an overwhelming advantage of multiple domains over one domain and the overall situation over the local situation. Especially during the release of combat effectiveness, each combat group, driven by “intelligence + data”, and based on pre-planned combat plans, can autonomously replan combat missions online around combat objectives, and automatically allocate targets online according to the actual combat functions and strengths of each combat unit within the group. This allows each unit to make the most of its strengths and advantages, and flexibly mobilize the free aggregation and dispersal of “materials + energy” in combat operations. Ultimately, this enables rapid matching and integration in terms of targets, situation, missions, capabilities, and timing, thereby forming a focused energy flow that releases systemic energy against the enemy.

  Human-machine integrated command and control

  The history of operational command development shows that decision-making and control methods in operational command activities always adapt to the development of the times. With the maturity of artificial intelligence technology and the continuous development of the self-generation, self-organization, and self-evolution of military intelligent systems, various weapon systems will evolve from information-based “low intelligence” to brain-like “high intelligence.” The combat style will evolve from information-based system combat to human-machine collaborative combat supported by the system. The autonomy of the war actors will become stronger, and the intelligence level of command and control systems will become higher. Fully leveraging the comparative advantages of “human and machine” and implementing decision-making and control through the “human-machine integration” model is a brand-new command form for future intelligent warfare.

  Human-machine integrated command and control, supported by a reasonable division of functions between humans and machines and efficient decision-making through human-machine interaction, fully leverages the complementary advantages of human brain and machine intelligence to achieve the integration of command art and technology. In the process of intelligent combat decision-making and action, it enables rapid, accurate, scientific, and efficient activities such as situation analysis and judgment, combat concept design, combat decision determination, combat plan formulation, and order issuance. It also adopts a “human-in-the-loop” monitoring mode that combines autonomous action by intelligent combat platforms with timely correction by operators to organize and implement combat operations.

  Human-machine integrated command and control, during planning and decision-making, can construct a combat cloud under the commander’s guidance through ubiquitous battlefield networks, intelligent auxiliary decision-making systems, and distributed intelligent combat platforms. Based on a model- and algorithm-driven intelligent “cloud brain,” it performs intelligent auxiliary decision-making, command and control, and evaluation simulations, combining “human strategy” with “machine strategy.” This leverages the respective strengths of both human and machine, achieving a deep integration of command strategy and intelligent support technologies, significantly improving the speed and accuracy of command decisions. During operational control, staff personnel can, based on operational intentions and missions, utilize intelligent battlefield perception systems, mission planning systems, and command and control systems, following a “synchronous perception—” approach. The basic principle of “rapid response and flexible handling” is based on a unified spatiotemporal benchmark and relies on a multi-dimensional networked reconnaissance and surveillance system to perceive changes in the battlefield situation in real time. It comprehensively uses auxiliary analysis tools to compare and analyze the differences between the current situation and the expected objectives and their impact, and makes timely adjustments to actions and adjusts troop movements on the spot to maintain combat advantage at all times. During the execution of operations, the command and control of intelligent combat platforms by operators of various weapon systems at all levels will be timely and precise to intervene according to the development and changes in the battlefield situation. While giving full play to the high speed, high precision and high autonomous combat capabilities of intelligent combat platforms, it ensures that they always operate under human control and always follow the overall combat intent.

  Autonomous and coordinated combat operations

  Implementing autonomous operations is crucial for commanders at all levels to seize opportunities, adapt to changing circumstances, and act rapidly on the ever-changing battlefield, gaining an advantage and preventing the enemy from making a move. This is a vital operational principle and requirement. Previously, due to constraints such as intelligence gathering, command and control methods, and battlefield coordination capabilities, truly autonomous and coordinated operations were difficult to achieve. However, with the continuous development and widespread application of information technology, collaborative control technology, and especially artificial intelligence in the military field, autonomous and coordinated operations will become the most prevalent form of collaboration in future intelligent warfare.

  Autonomous and coordinated combat operations refer to the rapid acquisition, processing, and sharing of battlefield situation information by various combat forces in a cloud environment supported by multi-dimensional coverage, seamless network links, on-demand extraction of information resources, and flexible and rapid organizational support. This is achieved by utilizing “edge response” intelligence processing systems and big data-based battlefield situation intelligent analysis systems. With little or no reliance on the control of higher command organizations, these forces can accurately and comprehensively grasp intelligence information related to their operations and actively and proactively organize combat and coordinated actions based on changes in the enemy situation and unified operational intentions.

  Autonomous and coordinated combat operations, while enhancing the autonomy of organizational operations at the local level, are further characterized by various intelligent weapon systems possessing the ability to understand combat intentions and highly adaptive and coordinated. They can automatically complete the “OODA” cycle with minimal or no human intervention, forming a complete closed-loop “adaptive” circuit. This enables them to efficiently execute complex and challenging combat missions. In rapidly changing battlefield environments, they can accurately and continuously conduct autonomous reconnaissance and detection of enemy situations, autonomously process battlefield situational information, autonomously identify friend or foe, autonomously track targets, and autonomously and flexibly select mission payloads, and autonomously launch attacks within the permissions granted by operators. Furthermore, during combat, intelligent weapon systems located in different spaces can, as the battlefield situation evolves and combat needs arise, form a combat power generation chain of “situational sharing—synchronous collaboration—optimal energy release” around a unified combat objective. Following the principle of “whoever is suitable, whoever leads; whoever has the advantage, whoever strikes,” they autonomously coordinate, precisely releasing dispersed firepower, information power, mobility, and protective power to the most appropriate targets at the most appropriate time and in the most appropriate manner, autonomously organizing combat operations. In addition, highly intelligent weapon systems can not only adapt to high-risk and complex combat environments and overcome human limitations in physiology and psychology, but also enter the extreme space of all domains and multiple dimensions to carry out missions. Moreover, they can conduct continuous combat with perception accuracy, computing speed and endurance far exceeding that of humans, autonomously carry out simultaneous cluster attacks and multi-wave continuous attacks, form a continuous high-intensity suppression posture against the enemy, and quickly achieve combat objectives.

[ Editor: Ding Yubing ]

現代國語:

作戰形式是指在特定條件下作戰的展現方式和狀態,通常與某種戰爭形式和作戰方法相適應。隨著智慧武器系統的發展和廣泛應用,未來的智慧戰爭必將呈現出與機械化戰爭和資訊化戰爭截然不同的形式。

雲端作戰系統

作戰系統是作戰能量聚合與釋放的根本基礎。資訊化作戰系統基於網路資訊系統,而智慧作戰系統則由作戰雲支撐。作戰雲能夠將分散的作戰資源自然地重組為靈活動態的作戰資源池。它具有虛擬化、互聯互通、分散式、易於擴展和按需服務等特點,使每個作戰單位都能按需獲取資源。它是實現跨域協同作戰的關鍵支撐,代表了智慧作戰系統的一種新型組織形式。

雲端作戰系統利用雲端技術連接資訊、實體系統和無所不在的物聯網。透過配置不同層級、規模的作戰資源雲,該系統能夠跨陸、海、空、天等多個作戰領域實現多維作戰資料的高效共享,從而實現陸、海、空、天、電子、網路等作戰領域的戰場資源整合。這使得各種作戰要素能夠匯聚到雲端,完成戰場資料的網路互動。

雲端連接作戰系統借助大數據和雲端運算技術,使聯合作戰能夠整合廣泛分佈於天、空、地、海、水下等多個領域的戰場情報資訊。這實現了跨領域資訊的無縫、即時和按需分發,從而實現跨域資訊融合和高效共享。此外,該系統還使各級指揮機構能夠利用智慧指揮控制系統進行多維情報分析、戰場態勢評估、作戰優化、決策、作戰計畫制定和部隊調動控制。此外,它還允許作戰部隊根據即時作戰需求,在線上快速且靈活地調整、優化配置和重組,形成適應性特遣部隊,並實施分散式、聚焦式作戰,這一切都得益於高度整合的跨域資訊技術的支援。同時,透過作戰雲中戰場資訊的跨域融合能力,還可以將智慧作戰部隊、傳統作戰部隊、有人作戰部隊和無人作戰部隊、無形空間作戰部隊和有形空間作戰部隊整合為一體化作戰力量。在雲端,陸、海、空、天、電子、網路空間等不同作戰單位和作戰要素可以高度整合、協調,並最大限度地發揮各自的優勢。這使得跨域、跨世代協同作戰成為可能,將整體作戰效能從以往作戰效果的逐步釋放和線性疊加轉變為非線性、湧現式、適應性的效果融合和精準的能量釋放。

分散與集中的戰場部署

集中優勢兵力是古老的戰爭原則。隨著網路資訊系統的不斷完善和智慧武器系統的廣泛應用,各類作戰力量、作戰單位和作戰要素能夠動態地融入聯合作戰系統並依託其運作,實現兵力分散、任務快速切換、動態聚合作戰效能,從而應對複雜多變的戰場形勢。這已成為區分智慧戰和資訊戰的兵力組織形式。

戰場分散與集中兵力部署是指基於雲端運算的聯合作戰系統,其中各參戰力量依托高度的資訊共享和快速流動,透過節點式部署、網路化移動和虛擬集中等方式,能夠即時、動態、靈活地整合分散在多維廣大戰場空間中的各類部署、作戰作戰、武器平台和作戰系統,從而實現分散在多維廣大戰場空間中的各類部署、作戰作戰、武器平台和作戰系統,從而實現作戰力量的分佈以及跨域作戰空間中的各類部署、作戰級作戰、武器效能的以及跨域作戰元素,從而實現作戰力量的跨域作戰、作戰效能的跨域作戰元素。

分散與集中的戰場部署使得各級指揮官能夠透過智慧指揮資訊系統進行大數據分析、戰場態勢擷取與多源情報驗證,從而深入感知並準確預測戰場態勢。這使得快速和高效率的態勢評估與預警。此外,各類作戰部隊和單位的大範圍部署和靈活配置,使其能夠根據預定的作戰計畫或臨時協同需求做出及時反應。這實現了靈活自主的跨域協同、快速的匯聚與分散,以及動態集中作戰效能。在關鍵時刻和關鍵區域,透過聚焦敵方作戰系統的關鍵節點和對整體戰略態勢至關重要的高價值目標,迅速形成系統級的作戰優勢。透過高韌性、網路化的殺傷鏈,精準釋放作戰效能,產生整體優勢的溢出效應,從而形成多域對單域的壓倒性優勢,以及整體態勢對局部態勢的壓倒性優勢。尤其是在釋放作戰效能的過程中,各作戰群在「情報+數據」的驅動下,基於預先制定的作戰計劃,能夠圍繞作戰目標自主地在線重新規劃作戰任務,並根據群內各作戰單位的實際作戰功能和實力,自動在線分配目標。這使得每個單位都能充分發揮自身優勢,靈活調動作戰行動中「物質+能量」的自由聚合與分散。最終,這能夠實現目標、態勢、任務、能力和時間等方面的快速匹配與整合,從而形成集中的能量流,釋放系統性能量對抗敵人。

人機一體化指揮控制

作戰指揮發展史表明,作戰指揮活動中的決策和控制方法始終與時俱進。隨著人工智慧技術的成熟以及軍事智慧系統自生成、自組織、自演化的不斷發展,各種武器系統將從基於資訊的「低智慧」向類腦的「高智慧」演進。作戰方式也將從資訊為基礎的系統作戰向系統支援的人機協同作戰演進。作戰主體的自主性將增強,指揮控制系統的智慧水準也將提高。充分發揮「人機」的比較優勢,透過「人機融合」模式進行決策與控制,是未來智慧戰爭的全新指揮形式。

人機融合指揮控制,以人機功能合理劃分與人機互動高效決策為基礎,充分發揮人腦與機器智慧的互補優勢,實現指揮藝術與科技的融合。在智慧作戰決策和行動過程中,能夠快速、準確、科學、有效率地進行態勢分析判斷、作戰概念設計、作戰決策確定、作戰計畫制定和命令下達等活動。同時,它採用「人機協同」監控模式,將智慧作戰平台的自主行動與操作人員的及時糾正相結合,組織和實施作戰行動。

人機融合指揮控制在計畫和決策階段,能夠透過無所不在的戰場網路、智慧輔助決策系統和分散式智慧作戰平台,在指揮官的指導下建構作戰雲。基於模型和演算法驅動的智慧“雲大腦”,該系統能夠進行智慧輔助決策、指揮控制和評估模擬,將“人機戰略”相結合,充分發揮人機各自的優勢,實現指揮戰略與智能支援技術的深度融合,顯著提升指揮決策的速度和準確性。在作戰控制過程中,參謀人員可以根據作戰意圖和任務,運用智慧戰場感知系統、任務規劃系統和指揮控制系統,遵循「同步感知」的原則。該系統以統一的時空基準為基礎,依托多維網路偵察監視系統,即時感知戰場態勢變化,並綜合運用輔助分析工具,對比分析當前態勢與預期目標之間的差異及其影響,及時調整行動,並根據實際情況調整部隊調動,始終保持作戰優勢。在作戰執行過程中,指揮人員能夠根據作戰意圖和任務,即時運用智慧輔助決策、指揮控制和評估模擬等手段,對戰場態勢變化進行即時感知和評估模擬。各級不同武器系統操作人員對智慧作戰平台的控制,將能夠根據戰場情勢的發展變化及時、精準地進行幹預。在充分發揮智慧作戰平台高速、高精度、高自主作戰能力的同時,確保其始終在人為控制下運行,並始終遵循整體作戰意圖。

自主協同作戰

對於各級指揮官而言,實施自主作戰至關重要,它能夠幫助他們抓住機會、適應不斷變化的環境、在瞬息萬變的戰場上迅速行動,取得優勢並阻止敵方行動。這是一項至關重要的作戰原則和要求。過去,由於情報收集、指揮控制方式以及戰場協同能力等方面的限制,真正實現自主協同作戰較為困難。然而,隨著資訊科技、協同控制技術,特別是人工智慧在軍事領域的不斷發展和廣泛應用,自主協同作戰將成為未來智慧戰爭中最普遍的協同作戰形式。

自主協同作戰是指在多維覆蓋、無縫網路鏈路、按需提取資訊資源以及靈活快速的組織支援等雲環境下,各作戰部隊快速獲取、處理和共享戰場態勢資訊。這主要透過利用「邊緣響應」情報處理系統和基於大數據技術的戰場態勢智慧分析系統來實現。這些部隊在幾乎無需依賴上級指揮機構的控制的情況下,能夠準確、全面地掌握與其作戰相關的情報信息,並根據敵情變化和統一作戰意圖,主動組織作戰和協同行動。

自主協同作戰在增強局部組織作戰自主性的同時,也具有多種智慧武器系統能夠理解作戰意圖並高度適應和協調的特徵。這些系統能夠在極少或無需人為幹預的情況下自動完成“OODA循環”,形成完整的閉環“自適應”迴路。這使得它們能夠有效率地執行複雜且具挑戰性的作戰任務。在瞬息萬變的戰場環境中,智慧武器系統能夠準確、持續地自主偵察敵情,自主處理戰場態勢訊息,自主辨識敵我,自主追蹤目標,自主靈活地選擇任務負荷,並在操作人員授權範圍內自主發動攻擊。此外,在戰鬥中,分佈於不同空間的智慧武器系統能夠隨著戰場態勢的演變和作戰需求的出現,圍繞著統一的作戰目標,形成「態勢共享—同步協同—最優能量釋放」的作戰能力生成鏈。遵循「適者先攻,優勢者出擊」的原則,它們自主協調,在最恰當的時間以最恰當的方式,將分散的火力、資訊能力、機動性和防護能力精準地釋放到最恰當的目標,自主組織作戰行動。此外,高度智慧化的武器系統不僅能夠適應高風險、複雜的作戰環境,克服人類生理和心理的限制,還能進入多域、多維度的極端空間執行任務。此外,它們能夠以遠超人類的感知精度、運算速度和續航能力進行持續作戰,自主執行同步集群攻擊和多波次連續攻擊,形成對敵持續高強度壓制態勢,並迅速達成作戰目標。

[ 編:丁玉冰 ]

中國原創軍事資源:https://mil.gmw.cn/2022-02/284/content_38585848178687.htm

China’s Forward-looking Intelligent Combat System Provides Chinese Military a “Smart” Advantage

中國前瞻性的智慧作戰系統為中國軍隊提供了「智慧」優勢

現代英語:

The evolution of warfare and combat styles is inextricably linked to profound changes in combat systems. The “intelligence” of intelligent combat systems lies not merely in the accumulation of technologies, but more importantly in the reconstruction of the paths for generating and releasing combat power, enabling leaps in combat effectiveness and serving as a key fulcrum for achieving victory in future wars. A deep understanding and forward-looking construction of the “intelligent” advantages of intelligent combat systems has become an essential requirement for winning intelligent warfare.

Survival advantages of elastic redundancy

The survival of operational elements is fundamental to victory in combat. Intelligent combat systems, through distributed and flexible deployment, modular functional reconfiguration, and autonomous damage recovery, have formed a resilient survival mode to cope with high-intensity confrontation and uncertainty.

Heterogeneous and distributed global deployment. Heterogeneity reflects the degree of aggregation of different capabilities on the same platform, while distribution reflects the degree of distribution of the same capability on different platforms. Intelligent combat systems enhance the diversity of platform capabilities through heterogeneity. For example, new combat aircraft can serve as multi-functional integrated platforms with sensing, command and control, relay, and strike capabilities. By distributing combat functions to different platforms, large-scale, low-cost global deployment can be achieved. For instance, the same combat function can be assigned to multiple platforms and systems such as UAVs and loitering munitions. With the heterogeneous dispersion and matrix cross-linking of intelligent nodes, continuous pressure can be formed everywhere and in all directions in physical space, while rapid aggregation in key directions can be achieved. This unifies global elasticity and dynamic real-time optimization, maximizing functional distribution and effectiveness release to cope with the uncertainties of intelligent combat.

Functional restructuring through modular combination. The intelligent combat system, employing a flexible paradigm of software-defined, task-oriented invocation, and modular reconfiguration, deconstructs functions fixed to specific equipment into standardized, interoperable hardware and software modules. During combat, based on rapidly changing battlefield demands, these modules can be quickly and flexibly loaded and combined online through a unified interface and open architecture, achieving non-linear functional combinations and flexible capability reshaping. This plug-and-play, on-demand generation model unlocks unlimited functional potential within a limited physical scale, realizing a shift from “using whatever weapons are available to fight” to “generating the appropriate capabilities for the specific battle,” fundamentally enhancing the adaptability and mission flexibility of the combat system.

Self-healing resilience. The advantage of an intelligent combat system lies not in its absolute invulnerability, but in its self-healing resilience—the ability to detect damage and reconstruct immediately upon interruption. When some nodes fail due to combat damage or interference, the system autonomously and rapidly diagnoses the damage based on preset functions and path redundancy rules. It then mobilizes nearby healthy nodes to take over the mission or activates backup communication paths to rebuild connections, propelling the system to quickly transition to a new stable state. This inherent elastic redundancy allows the system to maintain core functions and reconstruct the combat network even after enduring continuous attacks, minimizing the impact of combat damage on overall combat effectiveness.

The cognitive advantage of agile penetration

Cognitive advantage is key to gaining the initiative in battlefield information and achieving decisive victory. Its essence lies in breaking through the barriers of “information fog” and the constraints of “decision anxiety” through the deep integration of intelligent algorithms and advanced sensors, and realizing a leap from passive perception to proactive cognition.

Resilient communication capable of adapting to changing circumstances. Resilient communication refers to the ability of communication systems to detect interference in real time and dynamically reconfigure links in highly contested and complex electromagnetic environments to maintain the continuity and stability of command and control. Intelligent combat systems, relying on technologies such as cognitive radio, achieve on-demand allocation of communication resources, intelligent optimization of transmission paths, and autonomous reconfiguration of network topology, enabling them to “penetrate gaps” in complex electromagnetic environments and flexibly acquire communication “windows.” This resilience—able to maintain communication even amidst interference and resume operations even after interruptions—ensures the continuity of command and control relationships in extremely harsh electromagnetic environments, providing a reliable communication line for system cognitive activities.

The organic integration of multi-modal information. Multi-modal integration refers to the process of extracting consistency from diverse and heterogeneous information to form a high-value battlefield situation. The intelligent combat system, based on intelligent algorithms, performs cross-modal alignment of data from different sources such as radar, optoelectronics, reconnaissance, and cyber warfare. It automatically extracts enemy deployment, action patterns, and tactical intentions from massive and fragmented intelligence, achieving heterogeneous complementarity and cross-verification. This drives a qualitative leap from data redundancy to accurate intelligence, thereby providing commanders with a comprehensive and reliable battlefield cognitive map, clearing away the “fog of war,” and reaching the core of the situation.

Human-machine interaction achieves seamless intent. Intent-based intent aims to bridge the semantic gap between human commanders and intelligent combat systems, enabling precise and lossless conversion from natural language commands to machine-executable tasks. Intelligent combat systems utilize technologies such as natural language processing and knowledge graphs to construct an intelligent interaction engine with natural language understanding and logical reasoning capabilities. This engine automatically decomposes the commander’s general operational intent into task lists, constraints, and evaluation criteria, generating machine-understandable and executable tactical instructions and action sequences, which are then precisely distributed to the corresponding combat units, directly driving their execution. This “what is thought is what is directed, what is directed is what is attacked” command model significantly reduces the understanding and communication cycle in the traditional command chain, enabling deep integration of human and machine intelligence at the decision-making level and achieving a leap in command effectiveness.

Synergistic advantages of autonomous adaptation

Synergistic advantages are a multiplier for unleashing the effectiveness of system-of-systems warfare. The synergy of intelligent combat systems transcends programmed pre-setup, manifesting as the self-organizing and adaptive synchronization and cooperation of cross-domain combat units under unified rules and common missions. Its essence is the embodiment of system intelligence at the operational level.

Spatiotemporal coordination constrained by rules. Spatiotemporal coordination refers to setting action boundaries and interaction rules for widely dispersed combat units within a unified spatiotemporal reference framework, ensuring their orderly cooperation in the physical domain. Under a unified operational rule framework, each unit of the intelligent combat system autonomously calculates its relative position and predicts its trajectory through intelligent algorithms, achieving time-domain calibration, spatial-domain integration, and frequency-domain nesting of different platforms. This ensures conflict-free path planning, interference-free spectrum use, and accident-free firepower application. This collaborative mechanism, which combines order and flexibility, avoids mutual interference while maintaining tactical flexibility, providing a spatiotemporal reference for combat operations in complex battlefield environments.

Task-driven logical coordination. Logical coordination refers to using combat missions as the underlying logic, autonomously decomposing tasks, allocating resources, and planning actions to achieve intelligent organization and scheduling. The intelligent combat system, based on task analysis, capability matching, and planning generation algorithms, automatically decomposes combat objectives into specific action sequences and intelligently schedules corresponding combat units to “dispatch orders.” Each intelligent node, based on its understanding of the overall mission, real-time situational awareness, and its own capabilities, autonomously decides on action plans through a multi-agent negotiation mechanism and dynamically negotiates and cooperates with relevant units to “accept orders.” This task-oriented command greatly liberates higher-level commanders, enabling the system to possess agility and flexibility in responding to emergencies and significantly improving its mission adaptability.

Target-aligned awareness collaboration. Awareness collaboration refers to the autonomous decision-making and actions of combat units based on a shared understanding of the target and environment, resulting in synergistic effects. Intelligent combat systems consist of systems or nodes with predictive and reasoning capabilities. Driven by operational objectives, they can anticipate the actions of friendly forces and the course of the battlefield, and through local perception and independent decision-making, conduct self-organized and self-inspired collaborative support. This efficiency-driven, unspoken consensus transcends communication constraints and pre-set procedures, enabling the system to demonstrate exceptional adaptability and creativity when facing powerful adversaries.

The evolutionary advantages of learning iteration

Evolutionary advantage is key to a combat system’s sustained competitiveness and ability to seize the initiative on the battlefield. Intelligent combat systems rely on real-time adversarial data to drive overall optimization, accelerate capability diffusion through cross-domain experience transfer, and foster disruptive tactics through virtual gaming environments, thereby achieving autonomous evolution and generational leaps in combat effectiveness during the adversarial process.

The evolution of a system built upon accumulated experience. Intelligent combat systems will gather perception, decision-making, and action data acquired from complex adversarial environments in real time to a knowledge hub. Leveraging advanced algorithms such as reinforcement learning, they will conduct in-depth analysis and mining, performing closed-loop evaluation and dynamic adjustment of system-level operational logic such as command processes, coordination rules, and resource allocation strategies. This will form reusable and verifiable structured knowledge units, enhancing the combat system’s understanding of its environment and its autonomous adaptability. This will enable the entire system to form a shared “collective memory,” achieving adaptive radiation from single-point intelligence to overall operational effectiveness, and ultimately achieving individual evolution that becomes “more refined with each battle.”

Cross-domain empowerment of knowledge transfer. The intelligent combat system, relying on a unified semantic space and feature alignment framework, can rapidly embed localized experiences extracted and summarized from a specific battlefield or domain into other combat domains or mission scenarios. This breaks down information barriers between combat units, enabling the lossless transformation and cross-domain application of combat experience. Essentially, it promotes the secure flow and synergistic effect of knowledge within the system, completing the sublimation and reconstruction from “concrete experience” to “abstract knowledge,” achieving “gains from one battle benefiting all domains,” and accelerating the synchronous evolution of combat capabilities across various domains. This not only significantly improves the overall learning efficiency of the combat system and avoids repeated trial and error, but also achieves the intensive enhancement and systematic inheritance of combat capabilities.

The disruptive potential of game theory and confrontation is emerging. Systemic intelligent game theory aims to break through the boundaries of human cognition, fostering disruptive combat capabilities that transcend traditional experience. Its essence lies in the proactive creation and self-transcendence of knowledge at the system level. By constructing a high-intensity, long-term, realistic “red-blue” adversarial environment in a digital twin battlefield, and utilizing generative adversarial networks and multi-agent reinforcement learning frameworks, intelligent combat systems can explore the unknown boundaries of the strategy space in continuous game development. Based on game theory and complex systems theory, the system can spontaneously form better strategies during adversarial evolution, leading to combat modes and organizational forms that transcend conventional cognition. This makes the intelligent combat system a “super think tank” capable of continuously producing disruptive tactics.

現代國語:

戰爭和作戰方式的演變與作戰系統的深刻變革密不可分。智慧作戰系統的「智慧」不僅在於技術的積累,更重要的是重構作戰能力生成與釋放路徑,從而實現作戰效能的飛躍,並成為未來戰爭取勝的關鍵支點。深入理解並前瞻性地建構智慧作戰系統的「智慧」優勢,已成為贏得智慧戰爭的必要條件。

彈性冗餘的生存優勢

作戰要素的生存是戰爭勝利的根本。智慧作戰系統透過分散式靈活部署、模組化功能重建和自主損傷恢復,形成了應對高強度對抗和不確定性的韌性生存模式。

異質分散式全球部署。異質性反映了不同能力在同一平台上的聚合程度,而分散式則反映了相同能力在不同平台上的分佈程度。智慧作戰系統透過異質性增強了平台能力的多樣性。例如,新型作戰飛機可以作為集感知、指揮控制、中繼和打擊能力於一體的多功能整合平台。透過將作戰功能分配到不同的平台,可以實現大規模、低成本的全球部署。例如,同一作戰功能可以分配給多個平台和系統,例如無人機和巡彈。借助智慧節點的異質分散和矩陣式交叉連接,可以在物理空間的各個方向形成持續的壓力,同時實現關鍵方向的快速聚合。這統一了全局彈性和動態即時最佳化,最大限度地提高功能分配和效能釋放,以應對智慧作戰的不確定性。

透過模組化組合進行功能重構。智慧作戰系統採用軟體定義、任務導向和模組化重構的靈活範式,將固定於特定設備的功能解構為標準化、可互通的硬體和軟體模組。在戰鬥中,基於瞬息萬變的戰場需求,這些模組可透過統一的介面和開放式架構,在線上快速靈活地載入和組合,實現非線性功能組合和靈活的能力重塑。這種即插即用、按需生成的模式,在有限的物理規模內釋放了無限的功能潛力,實現了從「使用任何可用武器作戰」到「為特定戰鬥生成合適的能力」的轉變,從根本上增強了作戰系統的適應性和任務靈活性。

自癒韌性。智慧作戰系統的優勢不在於其絕對的無懈可擊,而在於其自癒韌性——即在中斷發生後能夠立即檢測損傷並進行重建。當某些節點因戰鬥損傷或乾擾而失效時,系統會基於預設功能和路徑冗餘規則,自主快速地診斷損傷。然後,它會調動附近的健康節點接管任務,或啟動備用通訊路徑重建連接,從而使系統迅速過渡到新的穩定狀態。這種固有的彈性冗餘使系統即使在遭受持續攻擊後也能維持核心功能並重建作戰網絡,從而最大限度地降低戰鬥損傷對整體作戰效能的影響。

敏捷滲透的認知優勢

認知優勢是掌握戰場資訊主動權並取得決定性勝利的關鍵。其本質在於透過智慧演算法和先進感測器的深度融合,突破「資訊迷霧」的障礙和「決策焦慮」的束縛,實現從被動感知到主動認知的飛躍。

適應環境變化的彈性通訊。彈性通訊是指通訊系統在高度對抗且複雜的電磁環境中即時偵測幹擾並動態重配置鏈路,以維持指揮控制的連續性和穩定性的能力。智慧作戰系統依托認知無線電等技術,實現通訊資源的按需分配、傳輸路徑的智慧優化以及網路拓撲的自主重配置,使其能夠在複雜的電磁環境中「穿透縫隙”,靈活獲取通訊「視窗」。這種韌性-即使在…之中也能保持溝通即使中斷後也能進行幹擾並恢復操作-確保在極度惡劣的電磁環境下指揮控制關係的連續性,為系統認知活動提供可靠的通訊線路。

多模態訊息的有機融合。多模態融合是指從多樣化且異構的資訊中提取一致性,形成高價值的戰場態勢的過程。基於智慧演算法的智慧作戰系統,對雷達、光電、偵察和網路戰等不同來源的資料進行跨模態對齊。它能夠從海量且碎片化的情報中自動提取敵方部署、行動模式和戰術意圖,實現異質互補和交叉驗證。這實現了從數據冗餘到精準情報的質的飛躍,從而為指揮官提供全面可靠的戰場認知地圖,撥開“戰爭迷霧”,直擊戰局核心。

人機互動實現無縫意圖傳遞。基於意圖的意圖旨在彌合人類指揮官與智慧作戰系統之間的語義鴻溝,實現自然語言指令到機器可執行任務的精確無損轉換。智慧作戰系統利用自然語言處理和知識圖譜等技術建構具備自然語言理解和邏輯推理能力的智慧互動引擎。該引擎自動將指揮官的整體作戰意圖分解為任務清單、約束條件和評估標準,產生機器可理解和執行的戰術指令和行動序列,並將其精確地分發給相應的作戰單元,直接驅動其執行。這種「所想即所發,所發即所攻」的指揮模式顯著縮短了傳統指揮鏈中的理解和溝通週期,實現了決策層面的人機智能深度融合,從而大幅提升了指揮效能。

自主調適的協同優勢

協同優勢是釋放系統間作戰效能的倍增器。智慧作戰系統的協同作用超越了預設的程序,表現為跨域作戰單元在統一規則和共同任務下進行自組織、自適應的同步與協作。其本質是系統智能在作戰層面的體現。

規則約束下的時空協調。時空協調是指在統一的時空參考框架內,為分散部署的作戰單元設定行動邊界和交互規則,確保其在物理域內的有序協作。在統一的作戰規則框架下,智慧作戰系統的每個單元透過智慧演算法自主計算其相對位置並預測其軌跡,實現不同平台的時域校準、空域融合和頻域嵌套。這確保了無衝突的路徑規劃、無幹擾的頻譜使用和無事故的火力運用。這種兼具有序性和靈活性的協同機制,在保持戰術靈活性的同時避免了相互幹擾,為複雜戰場環境下的作戰行動提供了時空參考。

任務驅動的邏輯協調。邏輯協調是指以作戰任務為底層邏輯,自主分解任務、分配資源、規劃行動,進而達成智慧化的組織與調度。智慧作戰系統基於任務分析、能力匹配和計畫生成演算法,自動將作戰目標分解為具體的行動序列,並智慧調度相應的作戰單位進行「命令下達」。每個智慧節點基於對整體任務的理解、即時態勢感知以及自身能力,透過多智能體協商機制自主制定行動計劃,並與相關單位動態協商協作以「接受命令」。這種以任務為導向的指揮方式極大地解放了上級指揮官,使系統在應對突發事件時具備敏捷性和靈活性,顯著提升了任務適應性。

目標對齊感知協同。感知協同是指作戰單位基於對目標和環境的共同理解進行自主決策和行動,從而產生協同效應。智慧作戰系統由具備預測和推理能力的系統或節點組成。在營運目標的驅動下,它們可以智慧作戰系統能夠預判友軍行動和戰場局勢,透過局部感知和獨立決策,進行自組織、自發的協同支援。這種以效率為導向的、無聲的共識超越了溝通限制和預設程序,使系統在面對強大對手時展現出卓越的適應性和創造力。

學習迭代的演化優勢

演化優勢是作戰系統保持競爭力和在戰場上掌握主動權的關鍵。智慧作戰系統依靠即時對抗數據來驅動整體優化,透過跨域經驗轉移加速能力擴散,並透過虛擬博弈環境培養顛覆性戰術,從而在對抗過程中實現自主演化和作戰效能的世代飛躍。

基於經驗累積的系統演化。智慧作戰系統將從複雜的對抗環境中即時獲得的感知、決策和行動數據收集到知識中心。利用強化學習等先進演算法,該系統將進行深度分析和挖掘,對系統級運作邏輯(如指揮流程、協調規則和資源分配策略)進行閉環評估和動態調整,從而形成可重用、可驗證的結構化知識單元,增強作戰系統對環境的理解和自主適應能力。這將使整個系統形成共享的“集體記憶”,實現從單點智慧到整體作戰效能的自適應輻射,並最終實現“越戰越精進”的個體演進。

跨域知識遷移賦能。智慧作戰系統依托統一的語意空間和特徵對齊框架,能夠將從特定戰場或領域提取和總結的局部經驗快速嵌入到其他作戰領域或任務場景中,打破作戰單元之間的資訊壁壘,實現作戰經驗的無損轉換和跨域應用。本質上,它促進了系統內知識的安全流動和協同效應,完成了從「具體經驗」到「抽象知識」的昇華和重構,實現了「一戰多域」的效益,並加速了跨領域作戰能力的同步演進。這不僅顯著提高了作戰系統的整體學習效率,避免了重複試錯,而且實現了作戰能力的強化和系統繼承。

博弈論與對抗的顛覆性潛能正在顯現。系統智慧博弈論旨在突破人類認知的限制,培養超越傳統經驗的顛覆性作戰能力。其本質在於系統層面知識的主動創造與自我超越。透過在數位孿生戰場上建構高強度、長期、逼真的「紅藍」對抗環境,並利用生成對抗網路和多智能體強化學習框架,智慧作戰系統能夠在持續的博弈演進中探索戰略空間的未知邊界。基於博弈論和複雜系統理論,該系統能夠在對抗演化過程中自發性地形成更優策略,從而產生超越傳統認知的作戰模式和組織形式。這使得該智慧作戰系統成為一個能夠持續產生顛覆性戰術的「超級智庫」。

中國原創軍事資源:https://military.people.com.cn/n18/2025/18216/c1011-480682584829.html

Looking at Intelligent Warfare: Focusing on Counter-AI Operations in Chinese Military Operations During Intelligent Warfare

檢視情報戰:聚焦中國軍事行動中的反空戰策略

現代英語:

Original Title: A Look at Intelligent Warfare: Focusing on Counter-AI Operations in Intelligent Warfare

    introduction

    The widespread application of science and technology in the military field has brought about profound changes in the form of warfare and combat methods. Military competition among major powers is increasingly manifested as technological subversion and counter-subversion, surprise attacks and counter-surprise attacks, and offsetting and counter-offsetting. To win future intelligent warfare, it is necessary not only to continuously promote the deep transformation and application of artificial intelligence technology in the military field, but also to strengthen dialectical thinking, adhere to asymmetric thinking, innovate and develop anti-AI warfare theories and tactics, and proactively plan research on anti-AI technologies and the development of weapons and equipment to achieve victory through “breaking AI” and strive to seize the initiative in future warfare.

    Fully recognize the inevitability of anti-artificial intelligence warfare

    In his essay “On Contradiction,” Comrade Mao Zedong pointed out that “the law of contradiction in things, that is, the law of unity of opposites, is the most fundamental law of dialectical materialism.” Throughout the history of military technology development and its operational application, there has always been a dialectical relationship between offense and defense. The phenomenon of mutual competition and alternating suppression between the “spear” of technology and the “shield” of corresponding countermeasures is commonplace.

    In the era of cold weapons, people not only invented eighteen kinds of weapons such as knives, spears, swords, and halberds, but also corresponding helmets, armor, and shields. In the era of firearms, the use of gunpowder greatly increased attack range and lethality, but it also spurred tactical and technical innovations, exemplified by defensive fortifications such as trenches and bastions. In the mechanized era, tanks shone brightly in World War II, and the development of tank armor and anti-tank weapons continues to this day. In the information age, “electronic attack” and “electronic protection,” centered on information dominance, have sparked a new wave of interest, giving rise to electronic warfare units. Furthermore, numerous opposing concepts in the military field, such as “missiles” versus “anti-missile,” and “unmanned combat” versus “counter-unmanned combat,” abound.

    It should be recognized that “anti-AI warfare,” as the opposite concept of “intelligent warfare,” will inevitably emerge gradually with the widespread and in-depth application of intelligent technologies in the military field. Forward-looking research into the concepts, principles, and tactical implementation paths of anti-AI warfare is not only a necessity for a comprehensive and dialectical understanding of intelligent warfare, but also an inevitable step to seize the high ground in future military competition and implement asymmetric warfare.

    Scientific Analysis of Counter-AI Combat Methods and Paths

    Currently, artificial intelligence (AI) technology is undergoing a leapfrog development, moving from weak to strong and from specialized to general-purpose applications. From its underlying support perspective, data, algorithms, and computing power remain its three key elements. Data is the fundamental raw material for training and optimizing models, algorithms determine the strategies and mechanisms for data processing and problem-solving, and computing power provides the hardware support for complex calculations. Seeking ways to “break through” AI by addressing these three elements—data, algorithms, and computing power—is an important methodological approach for implementing counter-AI warfare.

    Counter-data warfare. Data is the raw material for artificial intelligence to learn and reason, and its quality and diversity significantly impact the accuracy and generalization ability of models. Numerous examples in daily life demonstrate how minute changes in data can cause AI models to fail. For instance, facial recognition models on mobile phones may fail to accurately identify individuals due to factors such as wearing glasses, changing hairstyles, or changes in ambient light; autonomous driving models may also misjudge road conditions due to factors like road conditions, road signs, and weather. The basic principle of counter-data warfare is to mislead the training and judgment processes of military intelligent models by creating “contaminated” data or altering its distribution characteristics. This “inferiority” in the data leads to “errors” in the model, thereby reducing its effectiveness. Since AI models can comprehensively analyze and cross-verify multi-source data, counter-data warfare should focus more on multi-dimensional features, packaging false data information to enhance its “authenticity.” In recent years, foreign militaries have conducted relevant experimental verifications in this area. For example, by using special materials for coating and infrared emitter camouflage, the optical and infrared characteristics of real weapon platforms, and even the vibration effects of engines, can be simulated to deceive intelligent intelligence processing models; in cyberspace, traffic data camouflage can be implemented to improve the silent operation capability of network attacks and reduce the effectiveness of network attack detection models.

    Anti-algorithm warfare. The essence of an algorithm is a strategy mechanism for solving problems described in computer language. Because the scope of application of such strategy mechanisms is limited, they may fail when faced with a wide variety of real-world problems. A typical example is Lee Sedol’s “divine move” in the 2016 human-machine Go match. Many professional Go players, after reviewing the game, stated that the “divine move” was actually invalid, yet it worked against AlphaGo. AlphaGo developer Silva explained this by saying that Lee Sedol exploited a previously unknown vulnerability in the computer; other analyses suggest that this move might have contradicted AlphaGo’s Go logic or been outside its strategic learning range, making it unable to respond. The basic principle of anti-algorithm warfare is to target the vulnerabilities in the algorithm’s strategy mechanism and weaknesses in its model architecture through logical attacks or deception to reduce the algorithm’s effectiveness. Anti-algorithm warfare should be combined with specific combat actions to achieve “misleading and deceiving” the algorithm. For example, drone swarm reconnaissance operations often use reinforcement learning algorithms to plan reconnaissance paths. In this case, irregular or abnormal actions can be created to reduce or disable the reward mechanism in the reinforcement learning algorithm model, thereby reducing its reconnaissance search efficiency.

    Counter-computing power warfare. The strength of computing power represents the speed at which data processing can be converted into information and decision-making advantages. Unlike counter-data warfare and counter-algorithm warfare, which primarily rely on soft confrontation, counter-computing power warfare employs a combination of hard and soft tactics. Hard destruction mainly refers to attacks on enemy computing centers and computing network infrastructure, crippling their AI models by cutting off their computing power. Soft confrontation focuses on increasing the enemy’s computing costs, primarily by creating a “fog of war” and data noise. For example, during operations, large quantities of meaningless data of various types, such as images, audio, video, and electromagnetic data, can be generated to constrain and deplete the enemy’s computing resources, reducing their effective utilization rate. Furthermore, attacks can also be launched against weak points in the defenses of the computing power support environment and infrastructure. Computing centers consume enormous amounts of electricity; attacking and destroying their power support systems can also achieve the effect of counter-computing power warfare.

    Forward-looking planning for the development of anti-artificial intelligence combat capabilities

    In all warfare, one engages with conventional tactics and wins with unconventional ones. Faced with intelligent warfare, while continuously advancing and improving intelligent combat capabilities, it is also necessary to strengthen preparedness for counter-AI warfare, proactively planning for theoretical innovation, supporting technology development, and equipment platform construction related to counter-AI warfare, ensuring the establishment of an intelligent combat system that integrates offense and defense, and combines defense and counter-attack.

    Strengthen theoretical innovation in counter-AI warfare. Scientific military theory is combat effectiveness. Whether it’s military strategic innovation, military technological innovation, or other aspects of military innovation, all are inseparable from theoretical guidance. We must adhere to liberating our minds, broadening our horizons, and strengthening dialectical thinking. We must use theoretical innovation in counter-AI warfare as a supplement and breakthrough to construct an intelligent warfare theoretical system that supports and serves the fight for victory. We must adhere to the principle of “you fight your way, I fight my way,” strengthening asymmetric thinking. Through in-depth research on the concepts, strategies, and tactics of counter-AI warfare, we must provide scientific theoretical support for seizing battlefield intelligence dominance and effectively leverage the leading role of military theory. We must adhere to the integration of theory and technology, enhancing our scientific and technological awareness, innovation, and application capabilities. We must establish a closed loop between counter-AI warfare theory and technology, allowing them to complement and support each other, achieving deep integration and positive interaction between theory and technology.

    Emphasis should be placed on accumulating military technologies for countering artificial intelligence. Science and technology are crucial foundations for generating and enhancing combat effectiveness. Breakthroughs in some technologies can have disruptive effects, potentially even fundamentally altering the traditional landscape of warfare. Currently, major world powers view artificial intelligence as a disruptive technology and have elevated the development of military intelligence to a national strategy. Simultaneously, some countries are actively conducting research on technologies related to countering artificial intelligence warfare, exploring methods to counter AI and aiming to reduce the effectiveness of adversaries’ military intelligent systems. Therefore, it is essential to both explore and follow up, strengthening research and tracking of cutting-edge technologies, actively discovering, promoting, and fostering the development of technologies with counter-disruptive capabilities, such as intelligent countermeasures, to seize the technological advantage at the outset of counter-AI warfare and prevent enemy technological surprise attacks; and to carefully select technologies, maintaining sufficient scientific rationality and accurate judgment to dispel the technological “fog” and avoid falling into the adversary’s technological traps.

Developing anti-AI warfare weapons and equipment. Designing weapons and equipment is designing future warfare; we develop weapons and equipment based on the types of warfare we will fight in the future. Anti-AI warfare is an important component of intelligent warfare, and anti-AI weapons and equipment will play a crucial role on the future battlefield. When developing anti-AI warfare weapons and equipment, we must first closely align with battlefield needs. We must closely integrate with the adversary, mission, and environment to strengthen anti-AI warfare research, accurately describe anti-AI warfare scenarios, and ensure that the requirements for anti-AI warfare weapons and equipment are scientifically sound, accurate, and reasonable. Secondly, we must adopt a cost-conscious approach. Recent local wars have shown that cost control is a crucial factor influencing the outcome of future wars. Anti-AI warfare focuses on interfering with and deceiving the enemy’s military intelligent systems. Increasing the development of decoy weapon platforms is an effective way to reduce costs and increase efficiency. By using low-cost simulated decoy targets to deceive the enemy’s intelligent reconnaissance systems, the “de-intelligence” effect can be extended and amplified, aiming to deplete their high-value precision-guided missiles and other high-value strike weapons. Finally, we must emphasize simultaneous development, use, and upgrading. Intelligent technologies are developing rapidly and iterating quickly. It is crucial to closely monitor the application of cutting-edge military intelligent technologies by adversaries, accurately understand their intelligent model algorithm architecture, and continuously promote the upgrading of the latest counter-artificial intelligence technologies in weapon platforms to ensure their high efficiency in battlefield application. (Kang Ruizhi, Li Shengjie)

現代國語:

原文標題:智慧化戰爭面面觀-關注智慧化戰爭中的反人工智慧作戰

引言

科學技術在軍事領域的廣泛運用,引起戰爭形態和作戰方式的深刻變化,大國軍事博弈越來越表現為技術上的顛覆與反顛覆、突襲與反突襲、抵消與反抵消。打贏未來智慧化戰爭,既要不斷推進人工智慧技術在軍事領域的深度轉化應用,還應加強辯證思維、堅持非對稱思想,創新發展反人工智慧作戰理論和戰法,前瞻佈局反人工智慧技術研究和武器裝備研發,實現「破智」制勝,努力掌握未來戰爭主動權。

充分認識反人工智慧作戰必然性

毛澤東同志在《矛盾論》中指出:「事物的矛盾法則,即對立統一的法則,是唯物辯證法的最根本的法則。」縱觀軍事技術發展及其作戰運用歷史,從來都充滿了攻與防的辯證關係,技術之矛與反制止制、反制止制相較制、相較制抗擊現象之間的技術之緣關係。

冷兵器時代,人們不僅發明出「刀、槍、劍、戟」等十八般兵器,與之對應的「盔、甲、盾」等也被創造出來。熱兵器時代,火藥的使用大幅提升了攻擊距離和殺傷力,但同時也催生了以「塹壕」「稜堡」等防禦工事為代表的技戰術創新。機械化時代,坦克在二戰中大放異彩,人們對「坦克裝甲」與「反坦克武器」相關技術戰術的開發延續至今。資訊時代,圍繞制資訊權的「電子攻擊」與「電子防護」又掀起一陣新的熱潮,電子對抗部隊應運而生。此外,「飛彈」與「反導」、「無人作戰」與「反無人作戰」等軍事領域的對立概念不勝枚舉。

應當看到,「反人工智慧作戰」作為「智慧化作戰」的對立概念,也必將隨著智慧科技在軍事領域的廣泛深度運用而逐漸顯現。前瞻性研究反人工智慧作戰相關概念、原則及其技戰術實現路徑,既是全面辯證認識智慧化戰爭的時代需要,也是搶佔未來軍事競爭高地、實施非對稱作戰的必然之舉。

科學分析反人工智慧作戰方法路徑

目前,人工智慧技術正經歷由弱向強、由專用向通用的跨越式發展階段。從其底層支撐來看,數據、演算法、算力依舊是其三大關鍵要素。其中,資料是訓練與最佳化模型的基礎原料,演算法決定了資料處理與問題解決的策略機制,算力則為複雜運算提供硬體支撐。從資料、演算法、算力三個要素的角度尋求「破智」之道,是實施反人工智慧作戰的重要方法路徑。

反資料作戰。數據是人工智慧實現學習和推理的原始素材,數據的品質和多樣性對模型的準確度和泛化能力有重要影響。生活中因為微小數據變化而導致人工智慧模型失效的例子比比皆是。例如,手機中的人臉辨識模型,可能會因人戴上眼鏡、改變髮型或環境明暗變化等原因,而無法準確辨識身分;自動駕駛模型也會因路況、路標及天氣等因素,產生對道路狀況的誤判。實施反數據作戰,其基本原理是透過製造“污染”數據或改變數據的分佈特徵,來誤導軍事智能模型的訓練學習過程或判斷過程,用數據之“差”引發模型之“謬”,從而降低軍事智能模型的有效性。由於人工智慧模型能夠對多源數據進行綜合分析、交叉印證,反數據作戰應更加註重從多維特徵出發,包裝虛假數據信息,提升其「真實性」。近年來,外軍在這方面已經有相關實驗驗證。例如,利用特殊材料塗裝、紅外線發射裝置偽裝等方式,模擬真實武器平台光學、紅外線特徵甚至是引擎震動效果,用來欺騙智慧情報處理模型;在網路空間,實施流量資料偽裝,以提升網路攻擊靜默運作能力,降低網路攻擊偵測模型的效果。

反演算法作戰。演算法的本質,是用電腦語言描述解決問題的策略機制。由於這種策略機制的適應範圍有限,在面對千差萬別的現實問題時可能會失效,一個典型例子就是2016年人機圍棋大戰中李世石的「神之一」。不少職業圍棋選手複盤分析後表示,「神之一手」其實並不成立,但卻對「阿爾法狗」發揮了作用。 「阿爾法狗」開發者席爾瓦對此的解釋是,李世石點中了電腦不為人知的漏洞;還有分析稱,可能是「這一手」與「阿爾法狗」的圍棋邏輯相悖或不在其策略學習範圍內,導致其無法應對。實施反演算法作戰,其基本原理是針對演算法策略機制漏洞和模型架構弱點,進行邏輯攻擊或邏輯欺騙,以降低演算法有效性。反演算法作戰應與具體作戰行動結合,達成針對演算法的「誤導欺騙」。例如,無人機群偵察行動常採用強化學習演算法模型規劃偵察路徑,針對此情況,可透過製造無規則行動或反常行動,致使強化學習演算法模型中的獎勵機制降效或失效,從而達成降低其偵察搜尋效率的目的。

反算力作戰。算力的強弱代表著將資料處理轉換為資訊優勢和決策優勢的速度。有別於反數據作戰和反演算法作戰以軟對抗為主,反算力作戰的對抗方式是軟硬結合的。硬摧毀主要指對敵算力中心、計算網路設施等實施的打擊,透過斷其算力的方式使其人工智慧模型難以發揮作用;軟對抗著眼加大敵算力成本,主要以製造戰爭「迷霧」和資料雜訊為主。例如,作戰時大量產生影像、音訊、視訊、電磁等多類型的無意義數據,對敵算力資源進行牽制消耗,降低其算力的有效作用率。此外,也可對算力的支撐環境和配套建設等防備薄弱環節實施攻擊,算力中心電能消耗巨大,對其電力支援系統進行攻擊和摧毀,也可達成反算力作戰的效果。

前瞻佈局反人工智慧作戰能力建設

凡戰者,以正合,以奇勝。面對智慧化戰爭,持續推動提升智慧化作戰能力的同時,也需強化對反人工智慧作戰的未雨綢繆,前瞻佈局反人工智慧作戰相關理論創新、配套技術發展與裝備平台建設,確保建立攻防兼備、防反一體的智慧化作戰體系。

加強反人工智慧作戰理論創新。科學的軍事理論就是戰鬥力,軍事戰略創新也好,軍事科技創新也好,其他方面軍事創新也好,都離不開理論指導。要堅持解放思想、開拓視野,強化辯證思維,以反人工智慧作戰理論創新為補充和突破,建構支撐和服務打贏制勝的智慧化作戰理論體系。要堅持你打你的、我打我的,強化非對稱思想,透過對反人工智慧作戰概念、策略戰法等問題的深化研究,為奪取戰場制智權提供科學理論支撐,切實發揮軍事理論的先導作用。要堅持理技融合,增強科技認知力、創新力、運用力,打通反人工智慧作戰理論與技術之間的閉環迴路,讓兩者互相補充、互為支撐,實現理論與技術的深度融合與良性互動。

注重反人工智慧軍事技術累積。科學技術是產生和提高戰鬥力的重要基礎,有些技術一旦突破,影響將是顛覆性的,甚至可能從根本上改變傳統的戰爭攻防格局。目前,世界各主要國家將人工智慧視為顛覆性技術,並將發展軍事智慧化上升為國家戰略。同時,也有國家積極進行反人工智慧作戰相關技術研究,探索人工智慧對抗方法,意圖降低對手軍事智慧系統效能。為此,既要探索跟進,加強對前沿技術的跟踪研究,積極發現、推動、催生智能對抗這類具有反顛覆作用的技術發展,在反人工智能作戰起步階段就搶佔技術先機,防敵技術突襲;還要精挑細選,注重保持足夠科學理性和準確判斷,破除技術“迷霧”,避免陷入對手技術陷阱。

研發反人工智慧作戰武器裝備。設計武器裝備就是設計未來戰爭,未來打什麼仗就發展什麼武器裝備。反人工智慧作戰是智慧化戰爭的重要組成部分,反人工智慧武器裝備也將在未來戰場上發揮重要作用。在研發反人工智慧作戰武器裝備時,首先要緊貼戰場需求。緊密結合作戰對手、作戰任務和作戰環境等,加強反人工智慧作戰研究,把反人工智慧作戰場景描述準確,確保反人工智慧作戰武器裝備需求論證科學、準確、合理。其次要建立成本思維。最新局部戰爭實踐表明,作戰成本控制是影響未來戰爭勝負的重要因素。反人工智慧作戰重在對敵軍事智慧系統的干擾與迷惑,加大誘耗型武器平台研發是一種有效的降本增效方法。透過低成本模擬示假目標欺騙敵智能偵察系統,可將「破智」效應延伸放大,力求消耗其精確導引飛彈等高價值打擊武器。最後要注重邊建邊用邊升級。智慧技術發展速度快、更新迭代快,要緊密追蹤對手前沿軍事智慧技術應用,摸準其智慧模型演算法架構,不斷推動最新反人工智慧技術在武器平台中的運用升級,確保其戰場運用的高效性。 (康睿智 李聖傑)

中國原創軍事資源:https://mil.news.sina.com.cn/zonghe/2025-05-20/doc-inexeiih2818486808984.shtml

China’s Military Exploring a New Track for Generating New Types of Combat Capabilities

中國軍方正在探索一條製造新型作戰能力的新途徑

現代英語:

President Xi Jinping emphasized the need to boldly innovate and explore new models for the construction and application of combat forces, and to fully unleash and develop new-type combat capabilities. This important instruction reminds us that new-type combat capabilities, as a key force for winning future battlefields, are crucial to the course of war, the transformation of development, and the outcome of combat. We must closely follow the evolution of the form of war and the requirements for fully unleashing and developing new-type combat capabilities, explore new avenues for generating new-type combat capabilities, and continuously improve their contribution to war preparedness and combat.

Empowering the development of new-type combat capabilities with science and technology. Technological empowerment is a key characteristic of the development of new-type combat capabilities. Historically, major technological advancements have always led to profound changes in the form and methods of warfare. Currently, the world’s technological and military revolutions are developing rapidly, urgently requiring us to break free from fixed mindsets and reliance on traditional paths, closely monitor the forefront of military technology to innovate tactics and training methods, and continuously explore effective means to accelerate the formation of informationized and intelligent combat capabilities. First, we must seize technological advantages. To enhance technological insight, awareness, and response speed, we must strengthen technological research in emerging fields such as artificial intelligence and big data, boldly innovate the technological mechanisms of system confrontation, the lethality mechanisms of firepower strikes, and the combat mechanisms of information offense and defense, and improve the foresight, relevance, and effectiveness of technological innovation. Secondly, we must be adept at adapting to change. We must deeply understand the inherent mechanisms by which technology affects training, adhere to technology-enabled and technology-strengthened training, effectively utilize advanced technology in combat training, widely promote training methods such as “technology+” and “network+”, and continuously improve the level of combat-oriented training. Thirdly, we must strengthen the transformation and application of these technologies. We must keep a close eye on military combat readiness, innovate and explore new combat force construction and application models, actively expand the combat effectiveness of new domain and new quality equipment, focus on integrating new domain and new quality forces into the combat system, construct typical scenarios, innovate tactics and applications, and strive to create new combat capability growth poles.

Promoting the Development of New-Type Combat Capabilities through Force Integration. Force integration is a crucial aspect of building and developing new-type combat capabilities. Simply adding traditional combat systems will not generate new-type combat capabilities. Only by continuously promoting the integrated coupling of new combat concepts, new combat systems, and new combat platforms, and achieving mutual promotion and complementary advantages among various elements and units, can new-type combat capabilities truly emerge as a whole. First, ensure the integration of old and new. “New-type” is an evolution and upgrade of “old-type,” not a simple replacement. We must adhere to the principle of “establishing before dismantling,” and insist on starting from reality, developing “new-type” capabilities according to local conditions and the actual situation of combat capability construction, preventing and eliminating “favoring the new and discarding the old,” and low-quality and inefficient duplication of construction. Second, promote military-civilian integration. To establish and improve the mechanism for sharing military and civilian science and technology resources, we must break down the barriers between high-quality military and civilian resources, remove obstacles to sharing channels, promote the open sharing of resource elements and the joint creation and utilization of innovative achievements, and form a synergy for generating new combat capabilities. Secondly, we must achieve the integration of software and hardware. Future informationized and intelligent warfare will place greater emphasis on the overall linkage of combat elements. The degree of integration of “software” and “hardware” forces directly determines the effectiveness of combat capability generation and release and the course of the war. We must construct a combat force system that enhances system efficiency and promotes overall linkage, strengthen the layout of combat forces that are autonomously adaptable and interactively empowered, deeply address the contradictions and shortcomings in the mutual coordination of software and hardware, and promote the improvement of the quality and efficiency of the combat system.

Talent cultivation supports the development of new-type combat capabilities. Talent support is a crucial guarantee for the construction and development of new-type combat capabilities. As combat forms evolve towards unmanned, intelligent, and autonomous operations, the command system and organizational structure of the armed forces are becoming more streamlined, urgently requiring a new type of military talent pool. First, proactive training is essential. It is necessary to streamline the channels for cultivating and utilizing new-type military talent, integrating talent cultivation with the construction and development of new-type combat capabilities. Differentiating between different operational fields and professional positions, further precise standardization of talent standards and training paths is needed, along with strengthened training and experience, shortening the training cycle, and closely integrating and resonating with force development. Second, enhanced mission-based training is crucial. We must adhere to the principle of precisely aligning talent cultivation and utilization with the needs of military struggle and the development and application of new-type combat capabilities. We must fully utilize opportunities such as major missions and exercises to strengthen talent identification through rigorous testing, and promote a precise alignment between the supply side of talent cultivation and the demand side of the future battlefield. Thirdly, we must ensure precise management and utilization. We must grasp the laws governing the growth of military talent and the requirements for the development of new-type combat capabilities, innovate management concepts and methods, precisely allocate human resources, strengthen the professional, refined, and scientific management of the talent pool, and place talent in positions where they can best contribute to new-type combat capabilities to hone their skills and create a dynamic situation where people are well-suited for their positions and their talents are fully utilized.

(Author’s affiliation: Jiangsu Armed Police Corps)

現代國語:

探索新質戰斗力生成“新賽道”

■何松利

習主席強調,大膽創新探索新型作戰力量建設和運用模式,充分解放和發展新質戰斗力。這一重要指示啟示我們,新質戰斗力作為制勝未來戰場的關鍵力量,關乎戰爭走向、關乎建設轉型、關乎作戰勝負,必須緊跟戰爭形態演變及充分解放和發展新質戰斗力要求,研究探索新質戰斗力生成“新賽道”,不斷提升對備戰打仗的貢獻率。

以科技賦能牽引新質戰斗力發展。科技賦能是新質戰斗力建設發展的重要特征。從戰爭發展演進的歷史來看,歷次重大科技進步都會引發戰爭形態和作戰方式的深刻變革。當前,世界科技革命和軍事革命迅猛發展,迫切需要打破思維定勢、擺脫傳統路徑依賴,緊盯軍事科技前沿創新戰法訓法,不斷探索加快形成信息化智能化戰斗力的有效手段。一是搶佔技術優勢。要提升技術洞察力、認知度和響應速度,加強對人工智能、大數據等新興領域的技術研究,大膽創新體系對抗的技術機理、火力打擊的殺傷機理、信息攻防的作戰機理,提高科技創新的前瞻性、針對性、實效性。二是善於知變用變。要深刻理解科技作用於訓練的內在機理,堅持科技賦能、科技強訓,抓好高新技術作戰訓練運用,廣泛推開“科技+”“網絡+”等訓練方法路子,不斷提升實戰化訓練水平。三是加強轉化運用。要緊盯軍事斗爭准備創新探索新型作戰力量建設和運用模式,積極拓展新域新質裝備作戰效能,重點將新域新質力量融入作戰體系,構設典型場景、創新戰法運用,努力打造新質戰斗力增長極。

以力量融合推動新質戰斗力發展。力量融合是新質戰斗力建設發展的重要環節。傳統作戰系統的簡單疊加不會產生新質戰斗力,只有持續推動新作戰理念、新作戰體制、新作戰平台一體耦合,實現各要素單元相互促進、優勢互補,才能真正促成新質戰斗力整體湧現。首先,做好新舊融合。“新質”是對“舊質”的演化升級而非單純取代,要遵循“先立後破”原則,堅持一切從實際出發,按照戰斗力建設實際因地制宜發展“新質”,防止和杜絕“喜新厭舊”、低質低效重復建設。其次,促進軍地融合。要建立健全軍地科技資源共享機制,打破軍地優質資源相互封閉態勢,破除軍地共享渠道梗阻,推進資源要素開放共享、創新成果共創共用,形成新質戰斗力生成的整體合力。再次,實現軟硬融合。未來信息化智能化作戰更為強調作戰要素的整體聯動,“軟硬”力量的結合度直接決定戰斗力生成釋放效能和戰局走向,要構造體系增效、整體聯動的作戰力量體系,強化作戰力量自主適應、交互賦能的布局,深入破解軟件與硬件相互協同的矛盾短板,推動作戰體系提質增效。

以人才培育支撐新質戰斗力發展。人才支撐是新質戰斗力建設發展的重要保證。隨著作戰形態朝著無人化、智能化、自主化發展,部隊的指揮體系、組織結構更趨扁平化,迫切需要一支新型軍事人才隊伍。一是超前預置培養。要貫通新型軍事人才培養使用渠道,把人才培育與新質戰斗力建設發展融為一體,區分不同作戰領域、崗位專業,對人才標准、培養途徑等進行進一步精准規范,加強培養歷練,縮短培養周期,與力量發展緊密結合、同頻共振。二是加強任務淬煉。要堅持人才培養使用同軍事斗爭需要與新質戰斗力發展運用精准對接,充分利用重大任務、演習演練等時機,在血與火的考驗中加強人才識別,推動人才培養供給側同未來戰場需求側精准對接。三是精准管理使用。要把握軍事人才成長規律,把握新質戰斗力發展要求,創新管理觀念和方式方法,精准配置人力資源,加強人才隊伍專業化、精細化、科學化管理,把人才放在最能貢獻新質戰斗力的崗位上摔打磨煉,形成人崗相宜、人盡其才的生動局面。

(作者單位:武警江蘇總隊)

來源:解放軍報 作者:何松利 責任編輯:葉夢圓 2024-09-18 10:xx:xx

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/1863838908983.html

Chinese Military Perspectives on the Evolution of the Winning Mechanisms in Intelligent Warfare

中國軍方對智慧戰爭制勝機制演變的看法

現代英語:

A Perspective on the Evolution of the Winning Mechanism in Intelligent Warfare

Military theorists often say that victory smiles on those who can foresee changes in the nature of war, not on those who wait for changes to occur before adapting. In recent years, disruptive technologies, represented by artificial intelligence, have developed rapidly and are widely applied in the military field, accelerating the evolution of warfare towards intelligence. Correspondingly, our understanding of warfare is also changing. Only by promptly identifying, proactively responding to, and actively adapting to changes can we remain invincible in future wars.

From “using strength to defeat weakness” to “using wisdom to overcome clumsiness”

The principle of “the strong prevailing over the weak” is a relatively universal law of war. Even in cases where the weak defeat the strong, victory often requires establishing a numerical advantage over the enemy in a specific location and at a specific time. In the era of intelligent warfare, intellectual superiority contributes far more to combat effectiveness than any other factor.

In intelligent warfare, human intelligence permeates the operational domain and is integrated into weapon systems. Multi-dimensional, multi-domain intelligent combat platforms of various types can rapidly couple combat forces, construct combat systems according to mission requirements, autonomously conduct coordinated operations, and quickly return to a state of readiness after mission completion, exhibiting a trend towards intelligent autonomy. The side with higher and stronger intelligence can better develop and utilize the mechanism of “using intelligence to overcome clumsiness,” even designing warfare, dominating the course of the war, and achieving ultimate victory. It should also be recognized that the era of intelligent warfare may have multiple development stages from low to high. Positioning oneself at a higher stage while attacking the opponent at a lower stage is also an application of the “intelligence-based victory” mechanism.

From “Destroying Force” to “Destroying Cognition”

As warfare rapidly evolves towards intelligence, the battlespace is gradually expanding from the physical and information domains to the cognitive domain, extending from the tangible battlefield to the intangible battlefield. The cognitive space, constituted by human mental and psychological activities, has become a new battlespace. Unlike traditional warfare, which primarily aims to eliminate the enemy’s manpower, intelligent warfare will place greater emphasis on weakening the enemy’s morale, undermining their will, and destroying their cognition.

By intelligently analyzing an opponent’s personality preferences, psychological characteristics, and decision-making habits, deterrent information can be tailored to their specific needs. Leveraging cutting-edge technologies such as artificial intelligence, this powerful force can be presented to the opponent in a realistic manner, causing anxiety, suspicion, and panic to fester within them, ultimately leading to their defeat. Big data, hailed as “the new oil,” not only enriches intelligence sources but also serves as a crucial weapon in influencing an opponent’s perception. By processing and deliberately “leaking” big data to the opponent, new “fog of war” can be created, plunging them into a state of cognitive confusion. In intelligent warfare, the struggle and game surrounding psychological warfare will be more intense, and the side with cognitive advantage will have an early advantage and be more likely to take the initiative and seize the initiative.

From “human-centered” to “human-machine collaboration”

In traditional warfare, the organization and deployment of military forces are primarily human-based. However, with the widespread application of intelligent technology, the proportion of unmanned equipment is constantly increasing. In intelligent warfare, combat missions will be completed through human-machine collaboration, achieving organic integration and complementary advantages. Foreign militaries’ third “offset strategy” prioritizes human-machine collaboration as a key technology for development, and their previously proposed concepts such as “loyal wingman” aim to explore the realization of manned/unmanned cooperative warfare. It is foreseeable that human-machine collaboration will play a crucial role in future warfare.

Utilizing unmanned reconnaissance capabilities for three-dimensional, multi-dimensional battlefield situational awareness can provide real-time intelligence support to manned combat forces; unmanned platforms carrying relay payloads can provide continuous communication relay support to manned combat forces; unmanned combat forces penetrating deep into the front lines can attract enemy attacks, forcing them to reveal their positions, providing target guidance and fire support for manned combat forces; and unmanned transport equipment can provide logistical support to the front lines, improving logistical efficiency, reducing transportation costs, and minimizing unnecessary casualties. With the assistance of artificial intelligence, manned and unmanned combat forces will achieve a scientific division of labor and rational combination in terms of quantity, scale, and function, thereby maximizing overall effectiveness.

From “the big eat the small” to “the fast eat the slow”

In traditional warfare, it is often necessary to compensate for shortcomings in equipment performance by increasing the number of troops. “The key to military intelligence is speed.” The rapid development of military intelligence has greatly improved the speed of information transmission and the accuracy of weapon strikes, significantly reducing the time for reconnaissance and early warning, intelligence processing, command and decision-making, fire strikes, and damage assessment, accelerating the OODA kill chain cycle, and making “detect and destroy” possible.

Hypersonic missiles, laser weapons, microwave weapons, electromagnetic pulse weapons, and other new rapid-kill weapons are pushing the pace of warfare to the level of “instant kill.” In the Gulf War, the OODA loop loop took three days; in the Iraq War, the loop time was reduced to less than 10 minutes; and in the Syrian War, the loop was almost real-time. In intelligent warfare, using integrated reconnaissance and strike unmanned platforms to rapidly and precisely eliminate high-value targets such as the enemy’s core command posts and high-ranking commanders will severely damage the enemy before they can even react, potentially even paralyzing them. It is evident that victory does not necessarily favor the side with the largest military force; the side that acts swiftly and precisely is more likely to gain the upper hand on the battlefield. Statistics show that artificial intelligence’s reaction time to battlefield changes is more than 400 times faster than that of humans. Faced with the ever-changing battlefield situation, people will increasingly favor leveraging AI technology to achieve adaptive planning and autonomous decision-making in command and control systems, shifting the command and control model from “humans on the loop” to “humans outside the loop,” thereby reducing the burden on commanders while improving operational efficiency and the success rate of mission execution.

From “Winning Through Integration” to “Winning Through Clustering”

Traditional equipment development philosophy involves investing heavily in the research and development of highly integrated, sophisticated weapon platforms, aiming to achieve a decisive victory over the enemy in war through generational and performance advantages. However, developing and deploying multifunctional high-end platforms not only requires significant time and resources, but also presents the risk of incompatibility when integrating multiple hardware and software modules into a single weapon platform. The destruction of such a platform would result in substantial losses. The military application of disruptive technologies such as artificial intelligence has spurred the rapid development of unmanned swarms. Unmanned swarms possess advantages such as large scale, low overall cost, and decentralization. Unmanned platforms coordinate and cooperate with each other, enabling them to make autonomous decisions and execute combat missions in an organized manner. Even if some unmanned platforms are destroyed, the overall combat effectiveness remains unaffected. Foreign militaries’ operational concepts such as “decision-centric warfare” and “mosaic warfare” focus on utilizing unmanned swarms to accomplish combat missions. In intelligent warfare, by distributing functions such as reconnaissance and surveillance, information communication, command and control, and firepower strikes among a large number of single-function unmanned combat units, a highly robust and flexible “kill net” is constructed. The combination of these units can then be adjusted according to mission requirements, resulting in powerful swarm intelligence that creates significant uncertainty for the adversary, trapping them in the OODA loop’s decision-making process and preventing them from making effective decisions. Furthermore, the sheer number of unmanned swarms allows the adversary’s detection, tracking, and interception capabilities to quickly reach saturation. Unable to destroy all the unmanned platforms in the swarm, the adversary is forced to face the predicament of ineffective defenses.

From “Military Dominance” to “Diverse and Hybrid”

Traditional warfare primarily relies on violence to subjugate the enemy, typically characterized by high intensity and a clear distinction between peacetime and wartime. However, as military conflict expands into new domains such as space, cyberspace, and artificial intelligence, and as the roles of economic, cultural, diplomatic, and legal means in warfare become increasingly prominent, intelligent warfare will unfold in multiple areas, particularly in the “gray zone,” employing a multi-pronged approach. The intensity of warfare may decrease, and the lines between peacetime and wartime will become more blurred. Whether it was the drone attack on Saudi oil fields in 2019 that caused half of its oil production to stop, or the cyberattack on the largest oil pipeline in the United States in 2021 that caused widespread oil shortages, the far-reaching impact of various new attack methods should not be underestimated.

As intelligent technologies develop and mature, attacks using a variety of methods against adversaries’ industrial, transportation, financial, communications, energy, and medical facilities and networks will become more common. The threshold for intelligent warfare will decrease, and participants may launch hybrid wars that integrate economic, diplomatic, cyber, media, psychological, and legal warfare without prior declaration, leaving adversaries exhausted.

From “Live-fire Testing” to “Experimental Exercises”

Under traditional conditions, due to the lack of scientific simulation and evaluation tools, the true capabilities of an army can only be tested in actual combat. Under intelligent conditions, virtual reality technology can be used to create highly realistic and immersive virtual scenarios based on real battlefield environments and mission contexts. These scenarios can not only reproduce objective elements such as weapons and equipment in terms of sound, appearance, and performance, but also simulate various severe weather conditions such as heavy fog, heavy rain, and blizzards, visually displaying battlefield terrain, meteorological, hydrological, electromagnetic, and nuclear/chemical information, closely approximating the true state of the battlefield.

By setting up hypothetical enemies in a virtual environment based on the characteristics of real-world adversaries and conducting intelligent simulations of possible battle scenarios, officers and soldiers can “experience” war multiple times in virtual reality before the official start of combat. This allows them to gain a thorough understanding of equipment performance, the pace of war, and the enemy and friendly forces, making them more adept at performing real-world missions. Before the outbreak of the Iraq War, the US military secretly developed a computer game simulating the combat environment of Baghdad. Among personnel deployed to Iraq, those trained in the game had a survival rate as high as 90%. As the data collected in reality becomes richer and more complete, the construction of virtual battlefields will become more realistic, the prediction of the battlefield situation will become more accurate, and the comprehensive evaluation of exercises will become more credible. Both sides will strive to know the outcome of the war in advance through intelligent simulations, which may lead to situations where the enemy can be subdued without fighting or with only a small battle.

現代國語:

透視智能化戰爭制勝機理嬗變

■謝愷  張東潤  梁小平

引言

軍事理論家們常說,勝利往往向那些能預見戰爭特性變化的人微笑,而不是向那些等待變化發生後才去適應的人微笑。近年來,以人工智能為代表的顛覆性技術發展迅猛,並廣泛應用於軍事領域,使戰爭形態加速向智能化演變,與之相應的戰爭觀也正在發生嬗變。及時發現變化,主動應對變化,積極適應變化,才能夠在未來戰爭中立於不敗之地。

從“以強打弱”到“以智制拙”

“強勝弱敗”是帶有一定普遍性的戰爭制勝規律。即使是那些以弱勝強的戰例,往往也須在局部和特定時段形成對敵的力量優勢才能真正取勝。智能化戰爭時代,智力優勢對戰斗力的貢獻率遠高於其他要素。

在智能化戰爭對抗中,人的智能廣泛滲透到作戰領域、移植到武器系統,全域多維、各種類型的智能化作戰平台能夠快速耦合作戰力量,根據任務需求構建作戰體系,自主實施協同作戰,任務結束迅速回歸待戰狀態,呈現智能自主趨勢。智能水平更高更強的一方,能夠更好地開發和運用“以智制拙”機理,甚至據此設計戰爭、主導戰局發展,取得最終勝利。還要看到,智能化戰爭時代很可能存在由低到高的多個發展階段,盡可能讓自己處於高級階段,攻擊對手使其處於低維度的階段,也是以高打低“智勝”機理的運用。

從“消滅力量”到“摧毀認知”

隨著戰爭形態加速向智能化演進,作戰空間逐漸由物理域、信息域拓展至認知域,以有形戰場擴展到無形戰場,由人的精神和心理活動構成的認知空間已成為新的作戰空間。與傳統戰爭中以消滅敵人有生力量為主要目的不同,智能化戰爭將更加注重削弱敵方的士氣,瓦解敵方的意志,摧毀敵方的認知。

通過智能分析對手的性格偏好、心理特征、決策習慣,可有針對性地“量身定制”威懾信息,利用智能化等前沿技術優勢,以形象逼真的方式向對手展現強大實力,使焦慮、猜疑、恐慌等情緒在其內部不斷發酵,最終導致其不攻自破。被譽為“新石油”的大數據在豐富情報來源的同時,也成為作用於對手認知的重要“武器”。通過對大數據進行加工處理,並刻意“洩露”給對手,將給其制造新的“戰爭迷霧”,使其陷入認知迷茫的境地。在智能化戰爭中,圍繞攻心奪志所展開的斗爭博弈將更加激烈,而佔據認知優勢的一方將比對方先勝一籌,更加容易掌握主動、先機。

從“以人為主”到“人機協同”

在傳統戰爭中,軍事力量的組織與運用均以人為主。隨著智能技術的廣泛應用,無人裝備的比例不斷提高。在智能化戰爭中,作戰任務將由人機協同完成,兩者將實現有機融合、優勢互補。外軍提出的第三次“抵消戰略”將人機協作等作為重點發展的關鍵技術,其先後提出的“忠誠僚機”等概念也旨在探索實現有人/無人協同作戰。可以預見,人機協同將在未來戰爭中發揮重要作用。

利用無人偵察力量開展立體多維的戰場態勢感知,可為有人作戰力量實時提供情報支援;利用無人平台攜帶中繼載荷,可為有人作戰力量持續提供通信中繼支援;利用無人作戰力量深入前方戰場,可吸引敵方攻擊,迫敵暴露位置,為有人作戰力量提供目標引導和火力支援;利用無人運輸裝備為前線提供物資補給,可提高後勤保障效率,降低運輸成本,減少非必要的人員傷亡。在人工智能的輔助下,有人作戰力量與無人作戰力量將在數量規模、功能作用等方面實現科學分工與合理搭配,從而使整體效能實現最大化。

從“以大吃小”到“以快吃慢”

在傳統戰爭中,往往需要通過增加兵力數量來彌補在裝備性能等方面的短板。“兵之情主速”,軍事智能化的飛速發展大大提升了信息傳遞速度和武器打擊精度,大幅縮減了偵察預警、情報處理、指揮決策、火力打擊、毀傷評估的時間,加速OODA殺傷鏈循環,使“發現即摧毀”成為可能。

高超聲速導彈、激光武器、微波武器、電磁脈沖武器等新型快速殺傷武器進一步將戰爭節奏推向“秒殺”。在海灣戰爭中,OODA環的回路時間需要3天;在伊拉克戰爭中,回路時間已縮短至10分鐘以內;而在敘利亞戰爭中,回路已幾乎實現了近實時。在智能化戰爭中,利用察打一體無人平台對敵方的核心指揮所、高層指揮官等高價值目標進行快速定點清除,將使對方還來不及反應就遭受重創,甚至面臨癱瘓的險境。可見勝利並不一定眷顧軍力規模龐大的一方,行動迅速而精准的一方將更有可能贏得戰場先機。據統計,人工智能應對戰場變化所需的反應時間比人類快400倍以上。面對瞬息萬變的戰場態勢,人們將更傾向於借助人工智能技術實現指控系統的自適應規劃和自主決策,使指控模式由“人在環路上”轉變為“人在環路外”,從而在減輕指揮人員負擔的同時,提高作戰效率和執行任務的成功率。

從“集成制勝”到“集群制勝”

傳統的裝備發展理念是將大量資金投入到高度集成的高精尖武器平台研發中,以期在戰爭中憑借代際優勢和性能優勢實現對敵方的降維打擊。然而,開發部署多功能高端平台不僅需要耗費大量的時間和經費,當把多個軟硬件模塊集成到單一武器平台時,還可能出現相互之間不兼容的情況。一旦該平台被毀,將造成重大損失。人工智能等顛覆性技術的軍事應用促使無人集群得到快速發展。無人集群具有數量規模大、綜合成本低、去中心化等優勢,無人平台之間相互協調、分工合作,可自主決策並有組織地執行作戰任務,即使部分無人平台被毀,也不影響整體作戰效能。外軍提出的“決策中心戰”“馬賽克戰”等作戰概念,即著眼利用無人集群完成作戰任務。在智能化戰爭中,通過將偵察監視、信息通聯、指揮控制、火力打擊等功能分散到大量功能單一的無人作戰單元中,構建高魯棒性、高彈性的“殺傷網”,然後根據任務需要對組合方式進行調整,將使其湧現出強大的群體智能,給對手制造極大的不確定性,進而把對手困在OODA環的判斷環節,無法做出有效決策。此外,由於無人集群數量龐大,可使對手的探測、跟蹤、攔截能力迅速達到飽和,對手因無法摧毀集群中的所有無人平台,而不得不面臨防御工事失效的困境。

從“軍事主導”到“多元混合”

傳統戰爭主要依靠暴力手段使敵方屈服於己方意志,通常具有較強的戰爭烈度,平時與戰時界限分明。隨著軍事斗爭領域向太空、網絡、智能等新型領域不斷拓展,以及經濟、文化、外交、法律等手段在戰爭中的作用不斷凸顯,智能化戰爭將在“灰色地帶”為代表的多個領域以“多管齊下”的形式展開。戰爭烈度可能會有所減弱,平戰界限將更加模糊。無論是2019年沙特油田因遭到無人機襲擊而導致其一半石油停產,還是2021年美國最大輸油管道因遭遇網絡攻擊而導致大面積油料短缺,各類新型攻擊手段所帶來的深遠影響均不可小覷。

隨著智能化技術的發展成熟,綜合運用多種手段向對手的工業、交通、金融、通信、能源、醫療等設施和網絡發起的攻擊將更加普遍。智能化戰爭的門檻將呈現下降趨勢,參戰方可能采取不宣而戰的方式發起融合經濟戰、外交戰、網絡戰、輿論戰、心理戰、法律戰等多種樣式的混合戰爭,使對手疲於應付。

從“實戰驗兵”到“實驗演兵”

在傳統條件下,由於缺少科學的模擬仿真與評估工具,因此只有在實戰中才能檢驗出軍隊的真實能力。在智能化條件下,利用虛擬現實技術可基於實際的戰場環境和任務背景創建具有較強立體感和真實感的虛擬場景。該場景不僅可以從聲音、外觀、性能等多個維度對武器裝備等客觀事物進行還原,還能模擬大霧、大雨和暴風雪等各種惡劣天氣,以可視化的形式展現戰場的地形、氣象、水文、電磁、核化等信息,接近戰場的真實狀況。

根據現實中敵方的特征設定虛擬環境中的假想敵,並對戰局的可能走向進行智能模擬仿真,可使官兵在正式開戰前就已在虛擬現實中數次“親歷”戰爭,從而對裝備性能、戰爭節奏、敵我情況都了然於胸,在執行現實任務時將更加游刃有余。在伊拉克戰爭爆發前,美軍曾秘密開發了一款模擬巴格達作戰環境的電腦游戲,在被派遣到伊拉克執行任務的人員中,接受過游戲訓練的人員生存率高達90%。隨著現實中收集到的數據不斷豐富完善,虛擬戰場的搭建將更加逼真,對戰場態勢的走向預測將更加准確,關於演習的綜合評估將更加可信,敵對雙方都力圖通過智能推演即可預先獲知戰爭結果,將可能出現不戰或小戰就“屈人之兵”的情況。

來源:解放軍報 作者:謝愷  張東潤  梁小平 責任編輯:葉夢圓 2022-04-26 06:xx:xx

中國原創軍事資源:http://www.mod.gov.cn/gfbw/wzll/yw_21840868/4898098286.html

Military Research, Warfare Research, Combat Research | Practical Exploration of Strengthening New Combat Capabilities for China’s Military

軍事研究、戰爭研究、作戰研究 | 實際探索提升中國軍隊新型作戰能力

現代英語:

The Fourth Plenary Session of the 20th CPC Central Committee clearly proposed “accelerating the development of advanced combat capabilities.” New-type combat capabilities are representative of advanced combat capabilities, and strengthening the practical exploration of new-type combat capability development is an inevitable requirement for accelerating the development of advanced combat capabilities. As a key force for winning future battlefields, new-type combat capabilities are crucial to the course of war, the transformation of development, and the outcome of battles. Therefore, it is imperative to keep pace with changes in technology, warfare, and adversaries, fully unleash and develop new-type combat capabilities, and continuously enhance their contribution to war preparedness and combat.

Grasp the requirements of the times for strengthening the construction of new-type combat capabilities

The development of combat capabilities bears the profound imprint of the times. Strengthening the development of new-type combat capabilities must adapt to the era’s requirements as the form of warfare rapidly evolves towards intelligence, unmanned operation, and beyond-domain capabilities.

The “New” Elements of Power: Unmanned Intelligence. Recent local wars and military operations worldwide demonstrate a continuous increase in the informatization of warfare. Weapons and equipment are showing a clear trend towards long-range precision, intelligence, stealth, and unmanned operation, fundamentally changing the way humans interact with weaponry. The concepts, elements, and methods of winning wars are undergoing significant transformations. Currently, artificial intelligence and unmanned autonomous technologies are rapidly entering the battlefield. Intelligent military systems have significantly improved the unmanned autonomous combat capabilities of military equipment and platforms. The main participants in warfare are shifting from traditional humans to humanoid intelligent unmanned systems. Combat behavior and decision-making are accelerating their shift from “carbon-based” to “silicon-based,” from “cellular” to “intelligent agents,” and evolving from a “human in the loop” to a “human on the loop” and even “human outside the loop” model.

The “New” Nature of Battlefield Space: Multidimensional Integration. Disruptive technologies, exemplified by artificial intelligence, are rapidly expanding the scope and depth of influence of combat forces. The rapid application of technologies such as bio-interdisciplinary research, neuromorphic science, and human-machine interfaces is driving the deep penetration and integration of intelligent network systems with human social activities. New methods and situations, such as “deepfakes” and “information cocoons,” are emerging in large numbers, and hybrid games involving cognitive competition in the social domain are evolving into new arenas of struggle. The space of military struggle is expanding from traditional geographical space to the deep sea, outer space, electromagnetic, cyber, and cognitive domains, advancing the entire battlefield space to a highly three-dimensional, multi-dimensional, and highly integrated state. These battlefield space domains are interconnected, mutually supportive, and mutually restrictive, jointly propelling combat towards complex intelligence.

The “New” Aspect of Combat Formation: Dynamic Reconfiguration. Combat formation reflects the combination of personnel and weaponry, the relationships between combat units, and between different units, determining the role and effectiveness of new-type combat capabilities. Looking towards the real-time optimization of joint forces and firepower in future operations, new-type combat capabilities will rely on intelligent network information systems, shifting from static configuration to dynamic reconfiguration, from “building blocks” to “solving a Rubik’s Cube.” Each combat element will be functionally decoupled as needed, and then cross-domain integration will connect heterogeneous functional elements and unit modules to construct a resilient distributed “kill network,” enabling wide-area configuration, cross-domain networking, and multi-domain aggregation of combat units and basic modules. This dynamic formation requires the support of network information systems and the coordinated cooperation of new-type combat capabilities, connecting heterogeneous functional elements and unit modules throughout the entire combat system through cross-domain integration.

Focus on key aspects of strengthening new combat capabilities

The key difference between new-type combat capabilities and traditional combat capabilities lies in the new quality of combat capabilities. The construction of new-type combat capabilities should take the new quality as an important starting point, empower combat capability elements and transform combat capability generation models through technological innovation, thereby promoting the leap in combat capabilities.

Intelligent algorithms are key to victory. New combat capabilities, exemplified by intelligent weaponry, place greater emphasis on gaining strategic control in combat. The competition between opposing sides hinges on the level of intelligent cognition and the superiority of their algorithms. Intelligent algorithms can be seamlessly integrated into the decision-making and command chains at every stage of the kill chain—observation, location, tracking, judgment, decision-making, strike, and assessment—achieving “victory before battle.” Data mining algorithms, such as deep learning and self-learning, can rapidly integrate various types of battlefield data, deeply correlate and analyze valuable intelligence, and help combat personnel predict the battlefield situation more quickly and effectively. Intelligent game theory and decision-making algorithms, such as reinforcement learning, can autonomously engage in combat in virtual environments, rapidly and fully explore the war decision-making space, help commanders identify and anchor decision points, and more efficiently create and generate action plans, thus assisting in combat planning. For the command and control of numerous unmanned equipment and platforms, autonomous control algorithms, such as autonomous planning and collaborative algorithms, can dynamically combine combat resources according to mission objectives and capability requirements, forming human-machine hybrid formations to efficiently execute combat missions.

The system is highly interconnected. Combat power generation is a complete system formed by the development and internal movement of the various elements constituting combat power, as well as the interconnections and interactions between different elements and subsystems. The characteristics of system confrontation, hybrid game, and cross-domain competition are more prominent in informationized and intelligent combat operations. The dispersed battlefield sensors, combat forces, and weapon platforms become network information nodes based on various information links. Intelligence information, mission instructions, battle situation, and battle results information can all be interactively shared in the battlefield network that is connected across the entire domain. The entire combat operation, while pursuing individual platform indicators, places greater emphasis on the real-time linkage effect of the entire combat system. Through functional coupling and structural emergence, it achieves the goals of “energy aggregation” and “energy enhancement” to achieve the goal of defeating the enemy with overall strength.

Human-machine interaction is gradually advancing. Unmanned equipment, as a crucial element of new combat capabilities and an important supplement to traditional weaponry, is transforming from a battlefield support role to a primary combat role. Broadly speaking, unmanned equipment will expand the combat capabilities of weaponry and gain information and firepower mobility advantages. First, unmanned combat equipment can enrich and improve manned combat systems. Utilizing the advantages of unmanned equipment—less restricted battlefield environment, stronger penetration capabilities, and more diverse missions—it can enhance the scope, accuracy, and timeliness of reconnaissance and intelligence gathering and assessment, as well as increase the density, intensity, and sustainability of firepower strikes. Second, coordinated operations between manned and unmanned forces can achieve a “1+1>2” combat effectiveness. For example, drones can conduct forward reconnaissance and early warning, becoming an extension of manned aircraft perception, leveraging the mobility and firepower advantages of manned aircraft while utilizing the information advantages of drones. Third, unmanned swarm operations can achieve the goal of rapidly depleting enemy resources. Unmanned swarm forces, including drones, unmanned vehicles, unmanned boats, unmanned underwater vehicles, bionic robots, and smart munitions, will conduct autonomous and coordinated unmanned operations. Their nonlinear and emergent characteristics will highlight their advantages in scale, cost, autonomy, and decision-making. They will strike targets such as heavily fortified air defense missile sites deep within enemy territory, greatly depleting the enemy’s reconnaissance, interception, and firepower resources.

Building a scientific framework for enhancing new combat capabilities

Building new combat capabilities is a systemic and arduous battle that requires overcoming difficulties. We must break away from the path dependence of “technology-oriented” approaches and construct a scientific chain of “theoretical interpretation, system construction, training transformation, and resource adaptation.”

Emphasizing “theory first, system support,” these two aspects are crucial foundations for generating new-type combat capabilities. A hierarchical theoretical framework and resilient system architecture are essential to solidify the foundation for new-type combat capabilities to serve actual combat. From the perspective of hierarchical theoretical framework construction, basic theory must focus on the essential mechanisms of new-type combat elements, analyzing the operational characteristics, boundaries of action, and coupling logic of emerging domain elements with traditional elements, and exploring scientific paths for aligning basic theory with practice. Applied theory must closely adhere to actual combat scenarios, constructing application rules based on the typological classification of future combat missions, and expanding the paths for transforming applied theory into tactical practice. The innovative theoretical layer must anticipate the evolution of warfare, combining technological advancements to predict theoretical development directions, providing guidance for the evolution of new-type elements. From the perspective of resilient system architecture design, “system resilience” should be the goal to break down inter-domain barriers, establishing a potential database through the Internet of Things and big data technologies to achieve rapid reorganization and response of new-type resources and troop needs, ensuring that the system resonates with the demands of “war.”

Adhering to the principle of “you fight your way, I fight my way,” we must boldly innovate and explore new models for the construction and application of combat forces. The essence of this approach lies in building “asymmetric advantages.” From the perspective of cultivating asymmetric advantages, we must rely on “operational domain advantage maps” for assessment and construct differentiated force layouts. We must promote the transformation of advantageous elements into core capabilities, build a “strengths against weaknesses” pattern, and ensure the long-term sustainability of these advantages through the establishment of a dynamic monitoring mechanism. From the perspective of innovatively reconstructing operational paths, we must break through the boundaries of traditional operational domains, open up new dimensions of confrontation in unmanned domains, and design modular solutions based on mission requirements, flexibly combining new qualitative elements with traditional forces to avoid path dependence.

Strengthening “realistic training and adversarial drills” is crucial. Realistic training and adversarial drills serve as the intermediaries for transforming new combat capabilities from theory to actual combat. To establish a closed-loop mechanism of “integrated training and combat,” it is necessary to enhance the combat adaptability of new combat capabilities through high-fidelity construction of training scenarios, high-intensity design of adversarial drills, and quantitative modeling of effectiveness evaluation. Regarding the high-fidelity construction of realistic training scenarios, it is essential to actively organize drone units to conduct training in reconnaissance and rescue, airlift, and other subjects. The concept of “environmental complexity gradient” should be introduced to force officers and soldiers to utilize new equipment under extreme conditions. A quantitative evaluation system should be established to assess training effectiveness. Regarding the high-intensity design of adversarial drills, it is necessary to set up adversarial scenarios closely resembling those of a strong enemy, set adversarial intensity thresholds, and establish a closed-loop improvement mechanism to promote iterative upgrades of combat capabilities.

The principle is “not seeking ownership, but utilizing.” This is a crucial path for generating new combat capabilities. Its core lies in the innovative generation model of the “resource pooling” theory. This requires breaking the binding relationship between “resource possession” and “capability generation” through cross-domain resource integration and dynamic resource allocation. From the perspective of cross-domain resource integration, “resource pooling” is the core, integrating local technology, talent, and equipment resources to build a military-civilian integrated resource support network. From the perspective of dynamic resource allocation, a classified and graded management system is constructed, categorizing new resources according to their operational value into core, support, and auxiliary categories, clarifying the deployment process for new equipment, and ensuring that resource benefits are transformed into actual combat capabilities.

現代國語:

加強新質戰斗力建設實踐探索

■王璐穎  李  滔

引 言

黨的二十屆四中全會鮮明提出“加快先進戰斗力建設”。新質戰斗力是先進戰斗力的代表,加強新質戰斗力建設實踐探索是加快先進戰斗力建設的必然要求。新質戰斗力作為制勝未來戰場的關鍵力量,關乎戰爭走向、關乎建設轉型、關乎作戰勝負,必須緊跟科技之變、戰爭之變、對手之變,充分解放和發展新質戰斗力,不斷提升新質戰斗力對備戰打仗的貢獻率。

把握加強新質戰斗力建設時代要求

戰斗力建設有著深刻的時代烙印,加強新質戰斗力建設要順應戰爭形態加速向智能化、無人化、超域化演進的時代要求。

力量要素之“新”:無人智能。從世界近幾場局部戰爭和軍事行動看,戰爭信息化程度不斷提高,武器裝備遠程精確化、智能化、隱身化、無人化趨勢明顯,正在改變人與武器裝備的結合方式,戰爭制勝觀念、制勝要素、制勝方式發生重大變化。當前,人工智能技術和無人自主技術快速走向戰場,智能化軍事系統顯著提高了軍事裝備和平台的無人自主作戰能力,戰爭主要參與者從傳統的人向類人智能無人系統的跨越,作戰行為與決策加速從“碳基”向“硅基”轉移,從“細胞體”向“智能體”讓渡,從“人在環中”向“人在環上”乃至“人在環外”的模式演進。

戰場空間之“新”:多維融合。以人工智能為代表的顛覆性技術,正加速擴展作戰力量的作用領域、影響深度。生物交叉、類腦科學和人機接口等技術的快速應用,促使智能化網絡體系與人類社會活動深度滲透、高度融合。“深度偽造”“信息繭房”等新手段、新情況大量產生,社會域的認知爭奪等混合博弈,正演變為新的角力場。軍事斗爭空間從傳統地理空間,不斷向深海、外太空、電磁、網絡、認知等領域拓展,整個戰場空間進階到高立體、全維度、大融合。這些戰場空間領域之間既相互聯系、相互支撐,又相互制約,共同推動作戰向復雜智能的方向發展。

作戰編組之“新”:動態重構。作戰編組是人與武器裝備結合、作戰單元之間、部隊與部隊之間關系的體現,決定著新質戰斗力的作用發揮和效能釋放。著眼未來聯合作戰兵力火力的即時聚優,新質戰斗力將依托智能化網絡信息體系的支撐,由靜態搭配向動態重構轉變,由“拼積木”向“擰魔方”轉變,各作戰要素根據需要進行功能解耦,再通過跨域融合將異構的功能要素和單元模塊聯結在一起,構建具有良好韌性的分布式“殺傷網”,以實現作戰單元和基本模塊的廣域配置、跨域組網和多域聚合。這種動態編組更需要網絡信息體系的支撐和新質戰斗力的協同配合,通過跨域融合將整個作戰體系中異構的功能要素和單元模塊聯結在一起。

扭住加強新質戰斗力建設重要抓手

新質戰斗力區別於傳統戰斗力的關鍵在於戰斗力呈現的新質態,新質戰斗力建設要以新質態為重要抓手,通過科技創新賦能戰斗力要素、變革戰斗力生成模式,從而推動戰斗力躍遷。

智能算法制勝。以智能化武器裝備為代表的新質戰斗力更加重視追求作戰制智權,敵我雙方比拼的是智能認知水平的高下、算法的優劣。在觀察、定位、跟蹤、判斷、決策、打擊和評估等殺傷鏈的各個環節,智能算法都可以及時融入決策鏈、指揮鏈,實現“未戰而先勝”。以深度學習、自學習為代表的數據挖掘算法,能夠對戰場收集的各類數據快速整合,深度關聯分析有價值的情報信息,幫助作戰人員更快更好預測戰場態勢。以強化學習為代表的智能博弈和決策算法,能夠在虛擬環境中自主博弈對抗,快速充分探索戰爭決策空間,幫助指揮員發現和錨定決策點,更加高效地創造生成行動方案,輔助作戰籌劃。針對大量無人裝備和平台的指揮控制,自主規劃與協同算法等自主控制算法,能夠根據任務目標和能力需求對作戰資源進行動態組合,形成人機混合編組,高效執行作戰任務。

體系高度關聯。戰斗力生成,是由構成戰斗力的各要素自身發展、內在運動,以及不同要素和分系統之間相互聯系、相互作用而形成的完整體系。信息化智能化作戰行動的體系對抗、混合博弈、超域競爭等特征更加突出,分散配置的戰場傳感器、作戰力量和武器平台基於各種信息鏈路成為網絡信息節點,情報信息、任務指令、戰況態勢和戰果信息均可在全域聯通的戰場網絡中交互共享,整個作戰行動在追求單個平台單項指標的基礎上,更強調整個作戰體系的實時聯動效應,通過功能耦合和結構湧現,達到“聚能”和“增能”的目的,以整體力量達到克敵制勝的目的。

人機互動漸進。無人裝備作為新質戰斗力的重要抓手和傳統武器裝備的重要補充,正從過去戰場配屬角色向主戰角色轉變。從廣義角度看,無人裝備將以拓展武器裝備作戰能力獲得信息、火力機動優勢。首先,無人作戰裝備可充實完善有人作戰體系。利用無人裝備戰場環境限制小、突防能力強、執行任務多的優勢,提升己方偵察情報和評估工作范圍、精度和時效性,提升火力打擊密度、強度和持續性。其次,有人與無人力量協同作戰能夠發揮“1+1>2”的作戰效能。例如,無人機可前出偵察預警,成為有人機感知的延伸,發揮有人機機動和火力優勢,發揮無人機信息優勢。再次,無人集群作戰能夠實現快速消耗敵方資源目的。無人機、無人車、無人艇、無人潛航器、仿生機器人、智能彈藥等無人集群力量實施無人自主協同作戰,將發揮其非線性、湧現性等特征所凸顯的規模優勢、成本優勢、自主優勢、決策優勢,打擊敵方縱深地域嚴密設防的防空導彈陣地等目標,極大消耗敵方偵察攔截和火力抗擊資源。

構建加強新質戰斗力建設科學鏈路

新質戰斗力建設是一場向難攻堅的系統性硬仗,要破除“技術導向”的路徑依賴,構建“理論闡釋—體系建構—訓練轉化—資源適配”的科學鏈路。

突出“理論先行,體系支撐”。理論先行與體系支撐是新質戰斗力生成的兩個重要基礎。要以理論體系層級化建構與體系架構韌性化設計,夯實新質戰斗力服務實戰基礎。從理論體系層級化建構看,基礎理論必須聚焦新質作戰要素的本質機理,剖析新興領域要素的作戰特性、作用邊界及與傳統要素的耦合邏輯,探索基礎理論對接實踐的科學路徑。應用理論必須緊扣實戰場景,基於未來作戰任務的類型化劃分構建運用規則,拓展應用理論轉化為戰術實踐的路徑。創新理論層須前瞻戰爭形態演進,結合技術預見理論發展方向,為新質要素演化提供指引。從體系架構的韌性化設計看,要以“體系韌性”為目標打破域際壁壘,通過物聯網、大數據技術建立潛力數據庫,實現新質資源與部隊需求的快速重組響應,確保體系與“戰”的需求同頻共振。

堅持“你打你的,我打我的”。大膽創新探索新型作戰力量建設和運用模式,“你打你的,我打我的”,本質在於建構“非對稱優勢”。從非對稱優勢的培育看,要依托“作戰域優勢圖譜”開展評估,構築差異化力量布局。要推動優勢要素向核心能力轉化,構建“以長擊短”格局,通過建立動態監測機制,確保優勢長存。從作戰路徑創新性重構看,須突破傳統作戰域邊界,在無人域開辟對抗新維度,還要基於任務需求設計模塊化方案,靈活組合新質要素與傳統力量,避免路徑依賴。

加強“實案化訓練,對抗性演練”。實案化訓練和對抗性演練是新質戰斗力從理論向實戰的轉化中介。要構成“戰訓一體化”的閉環機制,須通過訓練場景的高保真建構、對抗演練的高強度設計與效能評估的量化模型化,提升新質戰斗力的實戰適配性。從實案化訓練的高保真建構看,要積極組織無人機分隊開展偵察救援、空中投送等課目訓練,要引入“環境復雜度梯度”理念,倒逼官兵在極限條件下運用新質裝備。要建立量化評估體系,評估訓練成效;從對抗性演練的高強度設計看,要設置貼近強敵的對抗場景,設定對抗強度閾值,建立閉環改進機制,推動戰斗力迭代升級。

做到“不求所有,但為所用”。“不求所有,但為所用”是新質戰斗力生成的重要路徑,其內核在於“資源池化”理論的生成模式創新,須通過資源整合的跨域化建構與資源運用的動態化調度,打破“資源佔有”與“能力生成”的綁定關系。從資源整合的跨域化建構看,以“資源池化”為核心,整合地方技術、人才、裝備資源,構建軍地一體的資源支撐網絡。從資源運用的動態化調度看,構建分類分級管理體系,將新質資源按作戰價值分為核心、支撐、輔助類,明確新質裝備的調用流程,確保資源效益轉化為實戰能力。

來源:中國軍網-解放軍報 作者:王璐穎 李 滔 責任編輯:孫悅

2025-12-04 0xx:xx

中國原創軍事資源:http://www.81.cn/ll_2085843/16842852875.html

The Intrinsic Evolution of the Winning Mechanisms in Chinese Military Joint Operations

中國軍事聯合作戰中獲勝機制的內在演變

現代英語:

Joint operations, as a fundamental form of modern warfare, have evolved in their winning mechanisms along with advancements in military technology and changes in the nature of warfare. From the coordinated formations of the cold weapon era to the combined arms operations of infantry and artillery in the era of firearms, from joint operations of various services and branches in the era of mechanized warfare to multi-domain joint operations in the era of informationized warfare, each military revolution has brought about fundamental changes in the winning mechanisms of warfare.

Currently, emerging technologies such as artificial intelligence, big data, cloud computing, and the Internet of Things are driving the evolution of warfare towards informatization and intelligence at an unprecedented pace. The connotation and extension of joint operations are constantly expanding, and the mechanisms of victory are also showing a series of new development trends. In-depth research into the development trends of the mechanisms of victory in joint operations, based on a multi-perspective analysis framework, systematically exploring the historical evolution and future development direction of these mechanisms from five dimensions—operation time, operation space, operation force, operation actions, and operation command and control—is of vital importance for accurately grasping the changes in future warfare, scientifically establishing the direction of military force development, and effectively enhancing joint operations capabilities.

From a combat time perspective: the strategy has evolved from step-by-step progression to instantaneous enemy destruction.

Time is one of the fundamental elements of war, and the art of utilizing operational time is key to victory in joint operations. In the era of mechanized warfare, limited by intelligence gathering methods, command and control capabilities, and weapon performance, joint operational operations are typically organized and implemented under strict time constraints, unfolding sequentially in stages: reconnaissance and early warning, fire preparation, forward breakthrough, deep attack, and fortification. Each branch of the armed forces carries out its operational mission according to a predetermined plan at each stage. This operational model results in a relatively slow pace of combat and inefficient use of time, often requiring several days or even months to complete a single operational phase. With the development of information technology and precision-guided weapons, the time-dimensional winning mechanism of modern joint operations is shifting towards “instantaneous enemy destruction.” The pace of combat operations has accelerated significantly, and the division of combat phases has become increasingly blurred. The traditional step-by-step approach is gradually being replaced by “instantaneous” warfare characterized by real-time perception, real-time decision-making, and real-time action. Real-time information sharing and rapid flow have drastically shortened the combat command and decision-making cycle, achieving the “detect and destroy” combat effect. The widespread application of precision-guided weapons has greatly improved the speed and accuracy of firepower strikes, enabling combat forces to carry out devastating strikes against key targets in an instant. In the future, with the development and application of artificial intelligence technology, the speed of combat decision-making and action will be further improved, and the instantaneous nature of joint operations will become more prominent.

From the perspective of operational space: expanding from the tangible battlefield to the intangible space

The operational space is the arena for joint combat forces, and its constantly evolving form and scope directly influence the mechanisms of victory in joint operations. In industrial-era warfare, the operational space was primarily confined to tangible physical spaces such as land, sea, and air. Operations mainly revolved around seizing and controlling key geographical points, transportation lines, and strategic locations, and the deployment of combat forces and the evaluation of operational effectiveness were also primarily based on the tangible spatial scope. Entering the information age, the operational space is undergoing revolutionary changes. In addition to the traditional tangible physical spaces of land, sea, air, and space, intangible spaces such as information space, cyberspace, and psychological space are increasingly becoming important battlefields for joint operations, even determining the outcome of combat to some extent. The struggle for information space has become a primary aspect of joint operations, the battle in cyberspace is intensifying, and the psychological warfare is constantly evolving. The battlefield of modern joint operations is characterized by a fusion of tangible and intangible spaces, and an equal emphasis on the physical and information domains. In the future, with the development of emerging technologies such as quantum technology, biotechnology, and artificial intelligence, the space for joint operations will further expand, potentially giving rise to new operational domains such as quantum space and biological space. The mechanisms for winning in joint operations will also undergo profound changes.

From the perspective of combat power: a shift from human-machine integration to human-machine collaboration.

Combat forces are the material foundation of joint operations, and their composition and deployment directly affect the outcome of such operations. In the era of mechanized warfare, the composition of joint combat forces was primarily a human-equipment integration model, with personnel as the main body and weapons and equipment as the tools. The effectiveness of combat forces depended mainly on the number and quality of personnel, the performance and quantity of weapons and equipment, and the degree of integration between personnel and equipment. Armies around the world emphasize improving the level of personnel-equipment integration through rigorous training to fully leverage the combat effectiveness of weapons and equipment. With the development of emerging technologies such as artificial intelligence, robotics, and big data, the composition and deployment of modern joint combat forces are undergoing profound changes, and human-machine collaboration is becoming a new logic for winning joint combat operations. Unmanned aerial vehicles (UAVs), unmanned ships, unmanned combat vehicles, and unmanned underwater vehicles have become an important component of joint combat forces. They are capable of performing reconnaissance, surveillance, strike, and interference missions in high-risk environments, significantly improving the survivability and combat effectiveness of combat forces. The application of artificial intelligence technology has also endowed weaponry with a certain degree of autonomous action, enabling them to autonomously collaborate with humans to complete complex tasks. Machine intelligence has not only changed the composition of combat forces but also their operational methods. In the future, with the continuous advancement of human-machine integration technology, the boundaries between humans and machines will become increasingly blurred, and human-machine collaboration will reach an even higher level.

From a combat operations perspective: The shift from segmented cooperation to cross-domain integration.

Joint operations are the concrete practice of joint warfare, and their organizational form and implementation methods directly affect the overall effectiveness of joint operations. In traditional joint operations, limited by command and control capabilities and coordination mechanisms between various services and branches, forces from each service and branch can only carry out missions within their respective operational domains and conduct limited cooperation through pre-established coordination plans. This domain-specific cooperation model is prone to problems such as coordination failures and operational disconnects. In the information age, with the improvement of all-domain awareness capabilities and the refinement of command and control methods, joint operations are gradually developing towards cross-domain integration. Cross-domain integration emphasizes breaking down the boundaries between different operational domains, achieving seamless connection and deep integration of operational forces across multiple domains such as land, sea, air, space, electromagnetic, and cyberspace, forming a coordinated overall operational effect. Operational forces in each domain can share battlefield information in real time, dynamically adjust operational actions, rapidly transcend geographical and domain boundaries, and conduct operations simultaneously in multiple domains. Through the integration and sharing of multi-domain information, a high degree of coordination and precise cooperation in operational actions across domains is achieved, forming a synergistic and effective overall operational effect. In the future, with the continuous development of information technology, the degree of cross-domain integration in joint operations will further deepen, becoming a key to victory in joint operations.

From the perspective of combat command and control: Evolution from central radiation to flexible periphery

Operational command and control is the “brain” and “nerve center” of joint operations; its mode selection and effectiveness directly determine the success or failure of joint operations. In the era of mechanized warfare, due to limited command and control technology, joint operational command and control typically adopted a centralized, hierarchical, tree-like organizational model. This model, centered on the highest command organization, implements operational command and control by transmitting orders downwards and feeding back information upwards, possessing significant advantages in centralized and unified action. However, it also suffers from drawbacks such as multiple command levels, slow information transmission, and poor responsiveness. With the development of information network technology and artificial intelligence technology, modern joint operational command and control is evolving towards greater flexibility. A modular and reconfigurable command structure enables the entire combat system to flexibly adjust command relationships and processes according to changes in combat missions and battlefield environments. While maintaining a centralized and unified strategic intent, it grants greater autonomy to tactical nodes at the system’s periphery, thereby enhancing the system’s flexibility and responsiveness, and better adapting to the rapidly changing challenges of future battlefields. In the future, with the development of technologies such as brain-computer interfaces and quantum communication, the real-time nature, accuracy, and flexibility of joint operations command and control will reach new heights.

In conclusion, with the development of emerging technologies such as information technology and artificial intelligence and their widespread application in the military field, the form of joint operations is undergoing continuous evolution, and the mechanisms for winning joint operations are also undergoing profound changes. This not only reshapes traditional operational concepts and methods but also poses new and higher requirements for the development of future joint operational capabilities. Therefore, we must maintain strategic clarity and innovative vitality, closely monitor global military development trends, conduct in-depth research on the mechanisms for winning joint operations, and continuously promote innovation in joint operational theory and practice to lay a solid foundation for winning informationized and intelligent warfare.

現代國語:

把握聯合作戰制勝機理內在演進

■李玉焱 楊飛龍 李忠智

寫在前面

聯合作戰作為現代戰爭的基本作戰形式,其制勝機理隨著軍事技術的進步和戰爭形態的演變而不斷發展。從冷兵器時代的方陣協同到熱兵器時代的步炮配合,從機械化戰爭時代的諸軍兵種合同作戰到信息化戰爭時代的多域聯合作戰,每一次軍事革命都帶來了作戰制勝機理的根本性變革。

當前,以人工智能、大數據、雲計算、物聯網等為代表的新興技術正以前所未有的速度推動戰爭形態向信息化智能化方向加速演進,聯合作戰的內涵和外延不斷拓展,制勝機理也呈現出一系列新的發展趨勢。深入研究聯合作戰制勝機理的發展趨勢,基於多視角分析框架,從作戰時間、作戰空間、作戰力量、作戰行動和作戰指控五個維度,系統探討聯合作戰制勝機理的歷史演進軌跡和未來發展方向,對於我們准確把握未來戰爭形態變化、科學確立軍事力量建設方向、有效提升聯合作戰能力,具有至關重要的意義。

從作戰時間視角看:由按階推進向瞬時破敵發展

時間是戰爭的基本要素之一,作戰時間的運用藝術是聯合作戰制勝的關鍵所在。在機械化戰爭時代,受限於情報獲取手段、指揮控制能力和武器裝備性能,聯合作戰行動組織實施通常遵循嚴格的時間限制,按照偵察預警、火力准備、前沿突破、縱深攻擊、鞏固防御的階段劃分依次展開,各軍兵種力量在各階段根據預定計劃遂行作戰任務。這種作戰模式下,作戰節奏相對緩慢,時間利用效率不高,往往需要數天甚至數月才能完成一個戰役階段。隨著信息技術和精確制導武器的發展,現代聯合作戰的時間維度制勝機理正在向“瞬時破敵”方向轉變。作戰行動節奏大大加快,作戰階段劃分日益模糊,傳統的按階推進模式逐漸被實時感知、實時決策、實時行動的“秒殺”式作戰所取代。信息的實時共享和快速流動使得作戰指揮決策周期大幅縮短,實現了“發現即摧毀”的作戰效果。精確制導武器的廣泛應用大大提高了火力打擊的速度和精度,使得作戰力量能夠在瞬間對關鍵目標實施毀滅性打擊。未來,隨著人工智能技術的發展和應用,作戰決策和行動的速度將進一步提升,聯合作戰的瞬時性特征將更加凸顯。

從作戰空間視角看:由有形戰場向無形空間拓展

作戰空間是聯合作戰力量活動的舞台,其形態和范圍的不斷變化直接影響著聯合作戰的制勝機理。在工業時代的戰爭中,聯合作戰的空間主要局限於陸地、海洋和空中等有形物理空間。作戰行動主要圍繞著奪取和控制地理要點、交通線和戰略要地展開,作戰力量的運用和作戰效果的評估也主要基於有形空間范圍。進入信息化時代,聯合作戰空間正在發生革命性變化,除了傳統的陸、海、空、天等有形物理空間外,信息空間、網電空間、心理空間等無形空間日益成為聯合作戰的重要戰場,甚至在某種程度上決定著作戰的勝負。信息空間的爭奪已成為聯合作戰的首要環節,網電空間的斗爭也日趨激烈,心理空間的較量更是層出不窮,現代聯合作戰的戰場空間已經呈現出“有形空間與無形空間交融、物理域與信息域並重”的鮮明特征。未來,隨著量子技術、生物技術、人工智能等新興技術的發展,聯合作戰空間還將進一步拓展,可能會出現量子空間、生物空間等新的作戰領域,聯合作戰的制勝機理也將隨之發生更深層次的變革。

從作戰力量視角看:由人裝結合向人機協作轉變

作戰力量是聯合作戰的物質基礎,其構成和運用方式直接關系到聯合作戰的勝負。在機械化戰爭時代,聯合作戰力量的構成主要是以人員為主體、以武器裝備為工具的人裝結合模式,作戰力量的效能主要取決於人員的數量、素質和武器裝備的性能、數量,以及人與裝備的結合程度。各國軍隊都強調通過嚴格的訓練提高人與裝備的結合水平,以充分發揮武器裝備的作戰效能。隨著人工智能、機器人技術、大數據等新興技術的發展,現代聯合作戰力量的構成和運用方式正在發生深刻變化,人機協作正成為聯合作戰力量制勝的新邏輯。無人機、無人艦艇、無人戰車、無人潛航器等無人裝備已經成為聯合作戰力量的重要組成部分,它們能夠在高危環境下遂行偵察、監視、打擊、干擾等任務,大大提高了作戰力量的生存能力和作戰效能。人工智能技術的應用也使得武器裝備具備了一定的自主行動能力,能夠與人自主協同完成復雜任務,機器智能不僅改變了作戰力量的構成形式,也改變了其運用方式。未來,隨著人機融合技術的持續進步,人與機器的界限會日益模糊,人機協作也將達到更高水平。

從作戰行動視角看:由分域配合向跨域融合深化

作戰行動是聯合作戰的具體實踐,其組織形式和實施方式將直接影響聯合作戰的整體效能。在傳統的聯合作戰中,受限於指揮控制能力和各軍兵種之間的協同機制,各軍兵種力量僅能在各自作戰領域內遂行任務,並通過預先制定的協同計劃進行有限的配合。這種分域配合的模式很容易出現協同失調、行動脫節等問題。進入信息時代,隨著全域感知能力的提升和指揮控制手段的完善,聯合作戰行動正逐步向跨域融合的方向發展。跨域融合強調打破各作戰領域之間的界限,實現作戰力量在陸、海、空、天、電、網等多域空間的無縫銜接和深度融合,形成整體聯動的作戰效果。各域作戰力量能夠實時共享戰場信息,動態調整作戰行動,快速跨越地理空間和領域界限,在多個域內同時展開行動,通過多域信息的融合共享,實現各域作戰行動的高度協同和精確配合,形成疊加增效的整體作戰效果。未來,隨著信息技術的不斷發展,聯合作戰行動的跨域融合程度將進一步加深,成為聯合作戰制勝的關鍵所在。

從作戰指控視角看:由中央輻射向彈性邊緣演進

作戰指揮控制是聯合作戰的“大腦”和“神經中樞”,其模式選擇和效能發揮將直接決定聯合作戰行動的成敗。在機械化戰爭時代,由於指控技術手段有限,聯合作戰指控通常采取中央輻射、層級樹狀的組織模式。這種模式以最高指揮機構為中心,通過逐級向下傳遞命令和向上反饋信息的方式實施作戰指揮控制,具有行動集中統一的顯著優勢,但也存在指揮層級多、信息傳遞慢、應變能力差等不足。隨著信息網絡技術和人工智能技術的發展,現代聯合作戰指控正在向彈性邊緣的方向發展演變。模塊化、可重組的指揮體系結構,使整個作戰體系能夠根據作戰任務和戰場環境的變化,靈活調整指揮關系和指揮流程,在保持戰略意圖集中統一的前提下,賦予體系邊緣的戰術節點更大的自主決策權,進而提高了作戰體系的靈活性和應變能力,能夠更好地適應未來戰場局勢瞬息萬變的挑戰。未來,隨著腦機接口、量子通信等技術的發展,聯合作戰指控的實時性、准確性和靈活性還將達到新的高度。

總之,隨著信息技術、人工智能等新興技術的發展及其在軍事領域的廣泛應用,聯合作戰形態正在發生持續演變,聯合作戰制勝機理也隨之發生深刻變革。這不僅重塑了傳統的作戰理念和作戰方式,也對未來聯合作戰能力建設提出了新的更高要求。對此,我們必須保持戰略清醒和創新活力,密切關注世界軍事發展趨勢,深入研究聯合作戰制勝機理,不斷推動聯合作戰理論和實踐創新,為打贏信息化智能化戰爭奠定堅實基礎。

中國原創軍事資源:

http://www.81.cn/ll_208543/16848385973.html

Functional Orientation of the Modern Combat System with Chinese Characteristics

中國特色現代作戰體系的功能定位

2018年08月14日 xx:xx 来源:解放军报

現代英語:

Functional Orientation of the Modern Combat System with Chinese Characteristics

  Key Points

  ● The coexistence, iterative development, dynamic evolution, and integrated development of multiple generations of mechanization, informatization, and intelligentization constitute the historical context of national defense and military construction in the new era, and also represent the historical position of building a modern combat system with Chinese characteristics.

  ● Traditional and non-traditional security threats are intertwined, and various strategic directions and security fields face diverse real and potential threats of local wars. This requires our military to abandon old models such as linear warfare, traditional ground warfare, and homeland defense warfare, and accelerate the transformation to joint operations and all-domain operations.

  The report to the 19th National Congress of the Communist Party of China proposed that, standing at a new historical starting point and facing the demands of building a strong country and a strong military, “we should build a modern combat system with Chinese characteristics.” This is a strategic choice to adapt to the rapidly evolving nature of warfare, to thoroughly implement Xi Jinping’s thought on strengthening the military, to comprehensively advance the modernization of national defense and the armed forces, and to aim at building a world-class military. Among these choices, the grasp of the functional orientation of the modern combat system with Chinese characteristics greatly influences the goals, direction, and quality of its construction.

  Seize the opportunities of the times and take the integrated development of mechanization, informatization and intelligentization as the historical orientation.

  The combat system is the material foundation of war and is closely related to the form of warfare. In today’s world, a new round of technological and industrial revolution is brewing and emerging. Original and disruptive breakthroughs in some major scientific problems are opening up new frontiers and directions, prompting human society to rapidly transform towards intelligence, and accelerating the evolution of warfare towards intelligence. Currently, our military is in a stage of integrated mechanization and informatization development. Mechanization is not yet complete, informatization is being deeply advanced, and we are facing both opportunities and challenges brought about by the intelligent military revolution. The new era provides us with a rare historical opportunity to achieve innovative breakthroughs and rapid development, and also provides a rare historical opportunity for our military’s combat system construction to achieve generational leaps and leapfrog development.

  A new era and a new starting point require establishing a new coordinate system. The coexistence, iterative development, dynamic evolution, and integrated development of multiple generations of mechanization, informatization, and intelligentization constitute the historical context of national defense and military construction in the new era, and also the historical position of building a modern combat system with Chinese characteristics. We should accurately grasp the historical process of the evolution of warfare, the historical stage of the combined development of mechanization and informatization, and the historical opportunities brought about by intelligent warfare. We must prioritize the development of military intelligence, using intelligence to lead and drive mechanization and informatization, coordinating mechanization and informatization within the overall framework of intelligent construction, and completing the tasks of mechanization and informatization development within the process of intelligentization. We must focus on top-level design for military intelligence development, researching and formulating a strategic outline and roadmap for military intelligence development, clarifying key areas, core technologies, key projects, and steps for intelligent development, and accelerating the construction of a military intelligent combat system. We must achieve significant progress as soon as possible in key technologies such as deep learning, cross-domain integration, human-machine collaboration, autonomous control, and neural networks, improving the ability to materialize advanced scientific and technological forces into advanced weaponry and equipment, and providing material conditions for building a modern combat system.

  Emphasizing system-on-system confrontation, with the development of joint operations and all-domain operations capabilities as the core indicators.

  Information-based local wars are characterized by integrated joint operations as their basic form, with network support, information dominance, and system-on-system confrontation as their main features. The combat capability generation model is shifting towards a network-based information system. Currently and for some time to come, my country’s geostrategic environment remains complex, with traditional and non-traditional security threats intertwined. Various strategic directions and security domains face diverse real and potential threats of local wars. Simultaneously, with the expansion of national interests, the security of overseas interests is becoming increasingly prominent, requiring the PLA to abandon old models such as linear warfare, traditional ground warfare, and territorial defense warfare, and accelerate its transformation towards joint operations and all-domain operations.

  The report of the 19th CPC National Congress pointed out that “enhancing joint operational capabilities and all-domain operational capabilities based on network information systems” is a new summary of the PLA’s operational capabilities in the new era and a core indicator for building a modern operational system with Chinese characteristics. We should actively explore the characteristics, laws, and winning mechanisms of modern warfare, and proactively design future operational models, force application methods, and command and coordination procedures to provide advanced theoretical support for building a modern operational system with Chinese characteristics. Following the new pattern of the Central Military Commission exercising overall command, theater commands focusing on combat operations, and services focusing on force development, we should adapt to the new joint operational command system, the reform of the military’s size, structure, and force composition, highlighting the network information system as the core support, and building an operational system capable of generating powerful joint operational capabilities to fully leverage the overall power of the various services and branches. With a view to properly addressing various strategic directions and traditional and non-traditional security threats, ensuring the PLA can reliably carry out various operational missions, we should build an operational system capable of generating powerful all-domain operational capabilities, achieving overall linkage across multiple battlefields and domains, including land, sea, air, space, and cyberspace.

  Focusing on real threats, the strategic objective is to gain an asymmetric advantage over the enemy.

  The world today is at a new turning point in the international situation, with strategic competition among major powers taking on new forms and the struggle for dominance in the international and regional order becoming unprecedentedly fierce. The specter of hegemonism and power politics lingers, and some countries are intensifying their efforts to guard against and contain China. my country’s geostrategic environment is becoming increasingly complex, with multiple destabilizing factors, facing multi-directional security pressures, and an increasingly complex maritime security environment. All of these factors contribute to increasing the dangers and challenges to national security.

  Effectively responding to real military security threats is a crucial strategic task in our military preparedness and a strategic direction for building a modern combat system with Chinese characteristics. We should focus on keeping up with technological advancements, vigorously developing advanced equipment, and striving to avoid creating new technological gaps with potential adversaries. This will provide solid material support for the construction of our combat system. Simultaneously, we must emphasize leveraging the PLA’s long-standing principles of flexibility, mobility, and independent operation, capitalizing on our strengths and avoiding weaknesses, targeting the enemy’s vulnerabilities and weaknesses. We should not simply compete with the best in high-tech fields, but rather focus on deterring the enemy and preventing war. We must accelerate the development of asymmetric counterbalancing mechanisms, strengthen the construction of conventional strategic means, new concepts and mechanisms, and strategic deterrence in new domains, supporting the formation of a new combat system with new deterrent and combat capabilities. We must not fear direct confrontation, preparing for the most complex and difficult situations, and building a combat system capable of providing multiple means, forces, and methods to address diverse war threats. This will ensure that, in the event of conflict, the comprehensive effectiveness of the combat system is fully utilized, guaranteeing victory in battle and deterring further war through war.

  Promoting military-civilian integration and using the national strategic system to support winning the people’s war in the new era is a fundamental requirement.

  The deepest roots of the power of war lie within the people. The concept of people’s war is the magic weapon for our army to defeat the enemy. Modern warfare is a comprehensive confrontation of the combined strength of opposing sides, involving political, economic, military, technological, and cultural fronts. Various armed forces are closely integrated, and various forms of struggle are coordinated with each other. The role and status of civilian technology and civilian forces in war are increasingly important, which further requires integrating the national defense system into the national economic and social system and striving to win the people’s war in the new era.

  Leveraging the power of military-civilian integration to support the fight against people’s war in the new era with the national strategic system is a fundamental requirement for building a modern combat system with Chinese characteristics. We must deeply implement the national strategy of military-civilian integration, deeply integrate the construction of our military’s combat system into the national strategic system, utilize national resources and overall strength to achieve a continuous leap in combat effectiveness, and maximize the overall power of people’s war. We must focus on strengthening military-civilian integration in emerging strategic fields, actively seize the commanding heights of future military competition, and continuously create new advantages in people’s war. We must incorporate the military innovation system into the national innovation system, strengthen demand alignment and collaborative innovation, enhance independent innovation, original innovation, and integrated innovation capabilities, and proactively discover, cultivate, and utilize strategic, disruptive, and cutting-edge technologies to provide advanced technological support for building a modern combat system. We must also focus on the in-depth exploitation of civilian resources, strengthen the integration of various resources that can serve national defense and military construction, prevent duplication and waste, self-contained systems, and closed operations, and maximize the incubation effect of civilian resources on the construction of a modern combat system.

  (Author’s affiliation: Institute of War Studies, Academy of Military Sciences)

Zhang Qianyi

現代國語:

中國特色現代作戰體系的功能取向

要點提示

●機械化信息化智能化多代並存、迭代孕育、動態演進、融合發展,是新時代國防和軍隊建設的時代背景,也是中國特色現代作戰體系建設的歷史方位。

●傳統和非傳統安全威脅相互交織,各戰略方向、各安全領域面臨多樣化現實和潛在的局部戰爭威脅,要求我軍必須摒棄平麵線式戰、傳統地面戰、國土防禦戰等舊模式,加快向聯合作戰、全域作戰轉變。

黨的十九大報告提出,站在新的歷史起點上,面對強國強軍的時代要求,“構建中國特色現代作戰體系”。這是適應戰爭形態加速演變的時代要求,深入貫徹習近平強軍思想、全面推進國防和軍隊現代化、瞄準建設世界一流軍隊的戰略抉擇。其中,對中國特色現代作戰體系功能取向的把握,極大影響著體系構建的目標、方向和質量。

抓住時代機遇,以機械化信息化智能化融合發展為歷史方位

作戰體係是戰爭的物質基礎,與戰爭形態緊密關聯。當今世界,新一輪科技革命和產業革命正在孕育興起,一些重大科學問題的原創性顛覆性突破正在開闢新前沿新方向,促使人類社會向智能化快速轉型,戰爭形態向智能化加速演變。當前,我軍正處於機械化信息化複合發展階段,機械化尚未完成、信息化深入推進,又面臨智能化軍事革命帶來的機遇和挑戰。新時代為我們實現創新超越、快速發展提供了難得歷史機遇,也為我軍作戰體系建設實現跨代超越、彎道超車提供了難得歷史機遇。

新時代新起點,需要確立新的坐標系。機械化信息化智能化多代並存、迭代孕育、動態演進、融合發展,是新時代國防和軍隊建設的時代背景,也是中國特色現代作戰體系建設的歷史方位。應準確把握戰爭形態演變的歷史進程,準確把握機械化信息化複合發展的歷史階段,準確把握智能化戰爭帶來的歷史機遇,堅持把軍事智能化建設擺在優先發展位置,以智能化引領帶動機械化信息化,在智能化建設全局中統籌機械化信息化,在智能化進程中完成機械化信息化發展的任務;注重搞好軍事智能化發展的頂層設計,研究制定軍事智能化發展戰略綱要和路線圖,明確智能化發展的關鍵領域、核心技術、重點項目和步驟措施等,加快軍事智能化作戰體系建設進程;盡快在深度學習、跨界融合、人機協同、自主操控、神經網絡等關鍵技術上取得重大進展,提高先進科技力物化為先進武器裝備的能力,為構建現代作戰體系提供物質條件。

突出體係對抗,以打造聯合作戰和全域作戰能力為核心指標

信息化局部戰爭,一體化聯合作戰成為基本形式,網絡支撐、信息主導、體係對抗成為主要特徵,戰鬥力生成模式向基於網絡信息體系轉變。當前及今後一個時期,我國地緣戰略環境仍然複雜,傳統和非傳統安全威脅相互交織,各戰略方向、各安全領域面臨多樣化現實和潛在的局部戰爭威脅,同時隨著國家利益的拓展,海外利益安全問題日益凸顯,要求我軍必須摒棄平麵線式戰、傳統地面戰、國土防禦戰等舊模式,加快向聯合作戰、全域作戰轉變。

黨的十九大報告指出,“提高基於網絡信息體系的聯合作戰能力、全域作戰能力”,這是對新時代我軍作戰能力的新概括,也是中國特色現代作戰體系建設的核心指標。應積極探索現代戰爭特點規律和製勝機理,前瞻設計未來作戰行動模式、力量運用方式、指揮協同程式等,為構建中國特色現代作戰體系提供先進理論支撐;按照軍委管總、戰區主戰、軍種主建的新格局,適應聯合作戰指揮新體制、軍隊規模結構和力量編成改革,突出網絡信息體系這個核心支撐,打造能夠生成強大聯合作戰能力的作戰體系,充分發揮諸軍兵種作戰力量整體威力;著眼妥善應對各戰略方向、傳統和非傳統安全威脅,確保我軍可靠遂行各種作戰任務,打造能夠生成強大全域作戰能力的作戰體系,實現陸海空天電網多維戰場、多域戰場的整體聯動。

著眼現實威脅,以形成對敵非對稱作戰優勢為戰略指向

當今世界,國際形勢正處在新的轉折點上,大國戰略博弈呈現新態勢,圍繞國際和地區秩序主導權的鬥爭空前激烈。霸權主義和強權政治陰魂不散,一些國家加緊對華防範和遏制。我國地緣戰略環境日趨複雜,存在多重不穩定因素,面對多方向安全壓力,我海上安全環境日趨複雜等,這些都使得國家安全面臨的危險和挑戰增多。

有效應對現實軍事安全威脅,是我軍事鬥爭準備的重要戰略任務,也是中國特色現代作戰體系建設的戰略指向。應注重技術跟進,大力研發先進裝備,力避與潛在對手拉開新的技術代差,為作戰體系建設提供堅實物質支撐,同時注重發揮我軍歷來堅持的靈活機動、自主作戰原則,揚長避短,擊敵弱項、軟肋,不單純在高科技領域“與龍王比寶”,著眼懾敵止戰,加快發展非對稱制衡手段,加強常規戰略手段、新概念新機理和新型領域戰略威懾手段建設,支撐形成具有新質威懾與實戰能力的新型作戰體系;不懼直面過招,立足最複雜最困難情況,構建能夠提供多種手段、多種力量、多種方式應對多樣化戰爭威脅的作戰體系,確保一旦有事,充分發揮作戰體係綜合效能,確保戰而勝之、以戰止戰。

推進軍民融合,以國家戰略體系支撐打贏新時代人民戰爭為根本要求

戰爭偉力之最深厚根源存在於民眾之中。人民戰爭思想是我軍克敵制勝的法寶。現代戰爭是敵對雙方綜合實力的整體對抗,涉及政治、經濟、軍事、科技、文化等各條戰線,各種武裝力量緊密結合、各種鬥爭形式相互配合,民用技術和民間力量在戰爭中的地位作用日益提升,更加要求把國防體系融入國家經濟社會體系,努力打贏新時代人民戰爭。

發揮軍民融合時代偉力,以國家戰略體系支撐打贏新時代人民戰爭,是中國特色現代作戰體系建設的根本要求。要深入實施軍民融合發展國家戰略,推動我軍作戰體系建設深度融入國家戰略體系,利用國家資源和整體力量實現戰鬥力的持續躍升,最大限度發揮人民戰爭的整體威力;注重加強在新興戰略領域的軍民融合發展,積極搶占未來軍事競爭的製高點,不斷創造人民戰爭的新優勢;把軍事創新體系納入國家創新體系之中,加強需求對接、協同創新,增強自主創新、原始創新、集成創新能力,主動發現、培育和運用戰略性顛覆性前沿性技術,為構建現代作戰體系提供先進技術支撐;抓好民用資源深度挖掘,強化可服務於國防和軍隊建設的各種資源整合力度,防止重複浪費、自成體系、封閉運行,最大限度發揮民用資源對現代作戰體系構建的孵化效應。

(作者單位:軍事科學院戰爭研究院)

張謙一

中國原創軍事資源:https://www.chinanews.com.cn/mil/2018/08-14/8599617888.shtml

Chinese Military Intelligence Drives Accelerated Development of Cyberspace Warfare

中國軍事情報推動網絡空間戰爭加速發展

現代英語:

The report to the 19th National Congress of the Communist Party of China pointed out that it is necessary to “accelerate the development of military intelligence and improve joint operational capabilities and all-domain operational capabilities based on network information systems.” Today’s *PLA Daily* published an article stating that military intelligence is a new trend and direction in the development of the military field after mechanization and informatization. We must develop intelligence on the basis of existing mechanization and informatization, while using intelligence to drive mechanization and informatization to a higher level and a higher standard. Cyberspace, as a new operational domain, is a new field with high technological content and the greatest innovative vitality. Under the impetus of military intelligence, it is ushering in a period of rapid development opportunities.Illustration: Lei Yu

Military intelligence is driving the accelerated development of cyberspace operations.

■ Respected soldiers Zhou Dewang Huang Anwei

Three key technologies support the intelligentization of cyberspace weapons.

Intelligence is a kind of wisdom and capability; it is the perception, cognition, and application of laws by all systems with life cycles. Intelligentization is the solidification of this wisdom and capability into a state. Cyberspace weapons are weapons used to carry out combat missions in cyberspace. Their form is primarily software and code, essentially a piece of data. The intelligence of cyberspace weapons is mainly reflected in the following three aspects:

First, there’s intelligent vulnerability discovery. Vulnerabilities are the foundation of cyber weapon design. The ransomware that spread globally this May exploited a vulnerability in the Microsoft operating system, causing a huge shock in the cybersecurity community. Vulnerabilities are expensive, with a single zero-day vulnerability costing tens to hundreds of thousands of dollars. Previously, vulnerability discovery relied mainly on experienced hackers using software tools to inspect and analyze code. However, at the International Cybersecurity Technology Competition finals held during this year’s China Internet Security Conference, participants demonstrated how intelligent robots could discover vulnerabilities on-site, then use these vulnerabilities to write network code, creating cyber weapons to breach target systems and capture the flag. This change signifies that vulnerability discovery has entered the era of intelligent technology.

Second, intelligent signal analysis and cryptography. Signals are the carriers of network data transmission, and cryptography is the last line of defense for network data security. Signal analysis and cryptography are core technologies for cyberspace warfare. Breaking through signals and cryptography is the fundamental path to entering cyberspace and a primary target of cyber weapons attacks. Intelligent signal analysis solves problems such as signal protocol analysis, modulation identification, and individual identification through technologies such as big data, cloud computing, and deep learning. Cryptography is the “crown jewel” of computational science. Intelligent cryptography, through the accumulation of cryptographic data samples, continuously learns and searches for patterns to find the key to decryption, thereby opening the last door of the network data “safe” and solving the critical links of network intrusion and access.

Thirdly, there is the design of intelligent weapon platforms. In 2009, the U.S. military proposed the “Cyber ​​Aircraft” project, providing platforms similar to armored vehicles, ships, and aircraft for cyberspace operations. These platforms can automatically conduct reconnaissance, load cyber weapons, autonomously coordinate, and autonomously attack in cyberspace. When threatened, they can self-destruct and erase traces, exhibiting a certain degree of intelligence. In the future, the weapons loaded onto “Cyber ​​Aircraft” will not be pre-written code by software engineers, but rather intelligent cyber weapons will be designed in real-time based on discovered vulnerabilities, enabling “order-based” development and significantly improving the targeting of cyberspace operations.

The trend of intelligentization in network-controlled weapons is becoming increasingly prominent.

Weapons controlled by cyberspace, or cyber-controlled weapons, are weapons that connect to a network, receive commands from cyberspace, execute cross-domain missions, and achieve combat effects in physical space. Most future combat weapon platforms will be networked, making military information networks essentially the Internet of Things (IoT). These networks connect to satellites, radars, drones, and other network entities, enabling control from perception and detection to tracking, positioning, and strike. The intelligence of cyber-controlled weapons is rapidly developing across land, sea, air, space, and cyber domains.

In 2015, Syria used a Russian robotic force to defeat militants. The operation employed six tracked robots, four wheeled robots, an automated artillery corps, several drones, and a command system. Commanders used the command system to direct drones to locate militants, and the robots then charged, supported by artillery and drone fire, inflicting heavy casualties. This small-scale battle marked the beginning of robotic “team” operations.

Network-controlled intelligent weapons for naval and air battlefields are under extensive research and development and verification. In 2014, the U.S. Navy used 13 unmanned surface vessels to demonstrate and verify the interception of enemy ships by unmanned surface vessel swarms, mainly by exchanging sensor data, and achieved good results. When tested again in 2016, functions such as collaborative task allocation and tactical coordination were added, and “swarm awareness” became its prominent feature of intelligence.

The development of swarms of small, micro-sized drones for aerial combat is also rapid. In recent years, the U.S. Department of Defense has conducted multiple tests of the Partridge micro-drone, capable of deploying dozens or even hundreds at a time. By enhancing its coordination capabilities during reconnaissance missions, progress has been made in drone formation, command, control, and intelligent management.

Space-based cyber-control weapons are becoming increasingly “intelligent.” The space-based cyber-control domain primarily comprises two categories of weapons: reconnaissance and strike weapons. Satellites of various functions mainly perform reconnaissance missions and are typical reconnaissance sensors. With the emergence of various microsatellite constellations, satellites are exhibiting new characteristics: small size, rapid launch, large numbers, and greater intelligence. Microsatellite constellations offer greater flexibility and reliability in performing reconnaissance and communication missions, and currently, the world’s leading satellite powers are actively developing microsatellite constellation plans with broader coverage.

Various hypersonic strike weapons are cruising in the air, like a sword of Damocles hanging over people’s heads. The U.S. Air Force Research Laboratory stated that the “hypersonic strike weapon” will begin flight testing around 2018, and other countries are also actively developing similar weapons. The most prominent features of these weapons are their high speed, long range, and high level of intelligence.

Intelligent command information systems are changing traditional combat command methods.

Cyber ​​weapons and weapons controlled by cyberspace constitute the “fist” of intelligent warfare, while the command information systems that direct the use of these weapons are the “brain” of intelligent warfare. Cyberspace operational command information systems must keep pace with the process of intelligentization. Currently, almost all global command information systems face the challenge of “intelligent lag.” Future warfare requires rapid and autonomous decision-making, which places higher demands on intelligent support systems.

In 2007, the U.S. Defense Advanced Research Projects Agency (DARPA) launched the “Deep Green Program,” a research and development program for command and control systems, aiming to enable computer-aided commanders to make rapid decisions and gain a decisive advantage. This is a campaign-level command information system, developed to be embedded into the U.S. Army’s brigade-level C4ISR wartime command information system, enabling intelligent command by commanders. Even today, the U.S. military has not relaxed its development of intelligent command information systems.

In cyberspace warfare, network targets are represented by a single IP address accessing the network. Their sheer number makes efficient manual operation difficult, necessitating the support of intelligent command and information systems. Currently, intelligent command and information systems need to achieve functions such as intelligent intelligence analysis, intelligent sensing, intelligent navigation and positioning, intelligent decision support, intelligent collaboration, intelligent assessment, and intelligent unmanned combat. In particular, they must enable swarm operational control of unmanned network control systems. All of these requirements urgently demand intelligent command and information systems, necessitating accelerated research and development and application of relevant key technologies.

In conclusion, intelligent cyber weapons and network control weapons, coordinated through intelligent information systems, will form enormous combat capabilities, essentially enabling them to carry out all actions in current combat scenarios. Future warfare, from command force organization to target selection, action methods, and tactical applications, will all unfold within an intelligent context. The “gamification” of warfare will become more pronounced, and operational command methods will undergo significant changes.

In future battlefields, combat will require not only courage but also intelligence.

■ Yang Jian, Zhao Lu

Currently, artificial intelligence is entering a new stage of development and is rapidly penetrating various fields. Influenced by this process, military competition among nations surrounding intelligent technologies has begun. Our army has always been a brave and tenacious people’s army, determined to fight and win. On the future battlefield, we should continue to carry forward our glorious traditions while more broadly mastering and utilizing the latest technological achievements to develop more intelligent weapons and equipment, thereby gaining a decisive advantage on the future battlefield.

Intelligentization is a trend in human societal development, and intelligent warfare is rapidly approaching. The development of military intelligence has a solid foundation thanks to successful innovations that transcend existing computational models, the gradual popularization of nanotechnology, and breakthroughs in research on the mechanisms of the human brain. Consequently, intelligent weaponry is increasingly prominent, surpassing and even replacing human capabilities in areas such as intelligence analysis and combat response. Furthermore, intelligent weaponry offers significant advantages in terms of manpower requirements, comprehensive support, and operating costs, and is increasingly becoming the dominant force in warfare.

The development and application of intelligent weaponry have proven to expand the scope of military operations and significantly enhance the combat effectiveness of troops. In the battlefields of Afghanistan and Iraq, drones have undertaken most of the reconnaissance, intelligence, and surveillance support missions, and have been responsible for approximately one-third of the air strike missions. In the past two years, Russia has also repeatedly used highly intelligent unmanned reconnaissance aircraft and combat robots in the Syrian theater. Intelligent weaponry is increasingly demonstrating its significant value, surpassing that of traditional weapons.

In future wars, the contest of intelligent combat systems will be the key to victory in high-level competition and ultimate showdowns. As the development of technology-supported military means becomes increasingly uneven, whoever first acquires the capability to conduct intelligent warfare will be better positioned to seize the initiative on the battlefield. Those with a technological advantage will minimize the costs of war, while the weaker will inevitably suffer enormous losses and pay a heavy price. We must not only accelerate innovation in core technologies and the development of weaponry, but also research and explore organizational structures, command methods, and operational models adapted to the development of intelligent military operations. Furthermore, we must cultivate a talent pool capable of promoting intelligent military development and forging intelligent combat capabilities, fully leveraging the overall effectiveness of our military’s combat system, and winning wars in a more “intelligent” manner against our adversaries.

現代國語:

党的十九大报告指出,要“加快军事智能化发展,提高基于网络信息体系的联合作战能力、全域作战能力”。今天的《解放军报》刊发文章指出,军事智能化是机械化、信息化之后军事领域发展的新趋势和新方向,我们要在现有机械化和信息化基础上发展智能化,同时用智能化牵引机械化和信息化向更高水平、更高层次发展。网络空间作为新型作战领域,是科技含量高、最具创新活力的新领域,在军事智能化的牵引下,正在迎来快速发展的机遇期。制图:雷 煜

军事智能化牵引网络空间作战加速发展

■敬兵 周德旺 皇安伟

三大技术支撑网络空间武器智能化

智能是一种智慧和能力,是一切有生命周期的系统对规律的感应、认知与运用,智能化就是把这种智慧和能力固化下来,成为一种状态。网络空间武器是网络空间遂行作战任务的武器,其形态以软件和代码为主,本质上是一段数据。网络空间武器的智能化主要体现在以下三个方面:

一是智能化漏洞挖掘。漏洞是网络武器设计的基础,今年5月在全球范围内传播的勒索病毒软件,就是利用了微软操作系统漏洞,给网络安全界带来了巨大震动。漏洞价格昂贵,一个零日漏洞价值几万到几十万美元不等。以往漏洞的发现,主要依靠有经验的黑客,利用软件工具对代码进行检查和分析。在今年中国互联网安全大会期间举办的国际网络安全技术对抗联赛总决赛中,参赛人员演示由智能机器人现场进行漏洞挖掘,然后通过漏洞编写网络代码,形成网络武器,攻破目标系统,夺取旗帜。这一变化,意味着漏洞挖掘进入了智能化时代。

二是智能化信号分析和密码破译。信号是网络数据传输的载体,密码是网络数据安全最后的屏障,信号分析和密码破译是网络空间作战的核心技术,突破信号和密码是进入网络空间的基本路径,是网络武器攻击的首要目标。智能化信号分析将信号的协议分析、调制识别、个体识别等问题,通过大数据、云计算、深度学习等技术进行解决。密码破译是计算科学“皇冠上的明珠”,智能化密码破译通过对密码数据样本的积累,不断学习、寻找规律,能找到破译的钥匙,从而打开网络数据“保险柜”的最后一道门,解决网络入侵和接入的关键环节。

三是智能化武器平台设计。美军在2009年提出“网络飞行器”项目,为网络空间作战提供像战车、舰艇、飞机这样的平台,可以实现在网络空间里自动侦察、加载网络武器、自主协同、自主攻击,受到威胁时自我销毁、清除痕迹,具备了一定的智能化特征。未来“网络飞行器”加载的武器,不是软件人员编好的代码,而是根据侦察结果直接对发现的漏洞,现场实时进行智能化网络武器设计,实现“订购式”开发,从而极大地提高网络空间作战的针对性。

网控武器的智能化趋势愈加凸显

受网络空间控制的武器简称网控武器,是通过网络连接,接受网络空间指令,执行跨域任务,在物理空间达成作战效果的武器。未来的各种作战武器平台,大多是联网的武器平台,这样军事信息网本质上就是物联网,上联卫星、雷达、无人机等网络实体,从感知到发现、跟踪、定位、打击都可通过网络空间控制,网控武器的智能化已在陆海空天电等战场蓬勃发展。

2015年,叙利亚利用俄罗斯机器人军团击溃武装分子,行动采用了包括6个履带式机器人、4个轮式机器人、1个自动化火炮群、数架无人机和1套指挥系统。指挥员通过指挥系统调度无人机侦察发现武装分子,机器人向武装分子发起冲锋,同时伴随火炮和无人机攻击力量支援,对武装分子进行了致命打击。这仅仅是一场小规模的战斗,却开启了机器人“组团”作战的先河。

海空战场网控智能武器正在大量研发验证。2014年,美国海军使用13艘无人水面艇,演示验证无人艇集群拦截敌方舰艇,主要通过交换传感器数据,取得了不错的效果。2016年再次试验时,新增了协同任务分配、战术配合等功能,“蜂群意识”成为其智能化的显著特点。

用于空中作战的小微型无人机蜂群也在快速发展。近年来,美国国防部多次试验“山鹑”微型无人机,可一次投放数十架乃至上百架,通过提升其执行侦察任务时的协同能力,在无人机编队、指挥、控制、智能化管理等方面都取得了进展。

空天网控武器越来越“聪明”。空天领域主要包含侦察和打击两类网控武器,各种功能的卫星主要执行侦察任务,是典型的侦察传感器。随着各种小微卫星群的出现,使卫星表现出新的特征:体积小、发射快、数量多、更加智能。小微卫星群在执行侦察和通信任务时,有了更大的灵活度和可靠性,目前世界卫星强国都在积极制定覆盖范围更广的小微卫星群计划。

各种高超音速打击武器在空天巡航,仿佛悬在人们头顶的利剑。美国空军研究室称“高速打击武器”将在2018年前后启动飞行试验,其它各国也正在积极研发类似武器。这类武器最大的特点是速度快、航程远、智能化程度高。

智能化指挥信息系统改变传统作战指挥方式

网络空间武器和受网络空间控制的武器,是智能化战争的“拳头”,而指挥这些武器运用的指挥信息系统是智能化战争的“大脑”,网络空间作战指挥信息系统要同步跟上智能化的进程。当前,几乎全球的指挥信息系统都面临着“智能滞后”的难题,未来战争需要快速决策、自主决策,这对智能辅助系统提出了更高要求。

2007年,美国国防部高级研究计划局启动关于指挥控制系统的研发计划——“深绿计划”,以期能实现计算机辅助指挥员快速决策赢得制胜先机。这是一个战役战术级的指挥信息系统,其研发目的是将该系统嵌入美国陆军旅级C4ISR战时指挥信息系统中去,实现指挥员的智能化指挥。直到今天,美军也没有放松对智能化指挥信息系统的开发。

在网络空间作战中,网络目标表现为一个接入网络的IP地址,数量众多导致人工难以高效操作,作战更需要智能化指挥信息系统的辅助支撑。当前,智能化指挥信息系统需要实现智能情报分析、智能感知、智能导航定位、智能辅助决策、智能协同、智能评估、智能化无人作战等功能,尤其是实现对无人网控系统的集群作战操控,这都对智能化指挥信息系统提出了迫切需求,需要加快相应关键技术的研发和运用。

综上所述,智能化的网络武器和网控武器,通过智能化的信息系统调度,将形成巨大的作战能力,基本能遂行现行作战样式中的所有行动。未来战争,从指挥力量编组、到目标选择、行动方式、战法运用等,都将在智能化的背景下展开,战争“游戏化”的特点将更显著,作战指挥方式也将发生重大变化。

未来战场 斗勇更需斗“智”

■杨建 赵璐

当前,人工智能发展进入崭新阶段,并开始向各个领域加速渗透。受这一进程的影响,各国围绕智能化的军事竞争已拉开帷幕。我军历来是一支英勇顽强、敢打必胜的人民军队,未来战场上应继续发扬光荣传统,同时要更加广泛地掌握和利用最新的科技成果,研制出更多智能化的武器装备,在未来战场上掌握制胜先机。

智能化是人类社会发展的趋势,智能化战争正在加速到来。正是由于超越原有体系结构计算模型的成功创新、纳米制造技术的逐步普及,以及对人脑机理研究的突破性进展,军事智能化发展才拥有了坚实的基础。因此,智能化武器装备的表现日益突出,并在情报分析、战斗反应等方面开始超越并替代人类。此外,在人力需求、综合保障、运行成本等方面,智能化武器装备也具有明显的优势,正在日益成为战争的主导力量。

事实证明,智能化武器装备的发展应用,拓展了军事行动的能力范围,大幅提升了部队的作战效能。在阿富汗和伊拉克战场上,无人机已承担了大部分侦察、情报、监视等作战保障任务,并担负了约三分之一的空中打击任务。近两年,俄罗斯在叙利亚战场上也多次使用具有较高智能化程度的无人侦察机、战斗机器人等装备。智能化武器装备正在愈来愈多地展现出超越传统武器的重要价值。

未来战争中,作战体系智能化的较量将是高手过招、巅峰对决的制胜关键。随着以科技为支撑的军事手段发展的不平衡性越来越大,谁先具备实施智能化作战的能力,谁就更能掌握战场的主动权,拥有技术代差优势的强者会尽可能将战争成本降到最低,而弱者必然遭受巨大损失,付出惨重代价。我们不仅要加紧核心技术创新、武器装备研制,还要研究探索适应军事智能化发展的组织结构、指挥方式和运用模式,更要培养一支能够担起推进军事智能化发展、锻造智能化作战能力的人才队伍,充分发挥我军作战体系的整体效能,在与对手的较量中,以更加“智慧”的方式赢得战争。

中國原創軍事資源:http://www.81.cn/jwzl/2017-11/24/content_7841898885.htm

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.

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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.

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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.

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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).

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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