Fundamentals of Chinese Military Intelligent Warfare

中國軍事情報戰基礎

現代英語:

[Abstract] Modern warfare is rapidly evolving into information warfare, and the emergence of intelligent warfare is beginning. Intelligent combat systems are becoming the main force form in intelligent warfare, giving rise to new combat styles such as adaptive warfare, cluster attrition warfare, and simultaneous parallel warfare. “Intelligence control” has become a new high ground for control in warfare. In the future, intelligent warfare will exhibit a phased and accelerated evolution. The development of intelligent technology will determine the direction of intelligent warfare, profoundly transforming the contradictory laws of war, and continuously strengthening war ethics and legal regulations. To meet the challenges of intelligent warfare, we must proactively design intelligent warfare, accelerate the development of intelligent equipment, shape intelligent organizational forms, and strengthen intelligent strategic management.

[Keywords] Intelligent warfare, Information warfare, Evolution of form of warfare, Strategic measures

[Chinese Library Classification Number] E0 [Document Identification Code] A

【DOI】10.16619/j.cnki.rmltxsqy.2021.10.002

Guo Ming is the Vice President, Researcher, and Doctoral Supervisor of the Institute of War Studies at the Academy of Military Sciences of the Chinese People’s Liberation Army. His research focuses on military command. His major works include *Tactics of War* (chief editor) and *A Course in Special Operations* (chief editor).

In recent years, driven by a new round of technological, industrial, and military revolutions, the form of warfare is rapidly evolving towards information warfare, and intelligent warfare is on the verge of emerging. As a new form of future warfare, intelligent warfare is not only revolutionizing people’s understanding of war and military affairs, but is also increasingly attracting the attention of countries around the world. Exploring and mastering the characteristics and laws of intelligent warfare and accelerating the development of military intelligence are contemporary challenges for safeguarding the overall strategic situation of the great rejuvenation of the Chinese nation.

A deep understanding of the driving forces behind the evolution of intelligent warfare

The form of war is the historical stage of war, characterized by the technical attributes of the main weapons, and is the manifestation of human society’s mode of production and movement in the military field. [1] Historically, the form of war has undergone several evolutions from cold weapon war, hot weapon war, mechanized war to information warfare, and is currently evolving towards intelligent warfare. This is the result of the combined effects of multiple factors such as politics, economy, military, science and technology, and culture.

The new round of technological revolution is the fundamental driving force behind the evolution of intelligent warfare. Science and technology are the primary productive forces and the core combat power of modern warfare. Major breakthroughs in military technology and landmark developments in dominant weaponry have triggered entirely new changes in military organization, combat methods, and operational theories, leading to a holistic transformation of warfare and the emergence of new forms of conflict. Since the beginning of the 21st century, new technologies characterized by “intelligence, ubiquity, and greenness” have emerged in rapid succession. In particular, artificial intelligence, driven by new technologies and theories such as mobile internet, big data, supercomputing, and brain science, exhibits new characteristics such as deep learning, cross-disciplinary integration, human-machine collaboration, collective intelligence development, and autonomous control. This has triggered a chain of breakthroughs in the military field, significantly changing the way people, weapons, and the ways in which people and weapons, and weapons and weapons, are combined. Various intelligent equipment projects have emerged, including “multi-purpose unmanned tactical transport” ground vehicles, “loyal wingman” drones, “Stingray” shipborne unmanned refueling aircraft, “Sea Hunter” anti-submarine unmanned surface vessels, satellite robots, “cyberspace vehicles,” “adaptive radar countermeasures,” and the “Alpha” beyond-visual-range air combat system. Human-machine hybrid formations, unmanned swarm warfare, and system-based cognitive deception will become possible. Systemic major innovations have emerged in various fields such as combat methods, command and control, organizational structure, logistics support, and military training. Intelligent warfare, which “uses intelligence to control capabilities,” has begun to emerge.

Strategic competition among major powers is the driving force behind the evolution of intelligent warfare. Military affairs are subordinate to politics, and strategy is subordinate to political strategy. Comrade Mao Zedong pointed out that war is “the highest form of struggle used to resolve contradictions between classes, nations, states, and political groups at a certain stage of development.” [2] Strategic competition among major powers and the resulting military demands are key factors driving the evolution of warfare. During World War II, although the armies of Britain, France, Germany, the United States, and the Soviet Union all possessed tanks, aircraft, and radio communication equipment, only Germany successfully implemented “blitzkrieg.” One very important reason was that Germany attempted to use this to break the strategic dilemma of fighting on two fronts. Currently, the world is undergoing profound changes unseen in a century, and the international balance of power is undergoing the most revolutionary changes since modern times, with profound adjustments taking place in the international political and economic landscape. Out of strategic considerations to maintain its world hegemony, the United States proposed the “Third Offset Strategy,” which clearly prioritizes artificial intelligence and autonomy as the technological pillars for development. It accelerates the development of military intelligence from aspects such as war design, operational concept development, technology research and development, and military spending, actively seizing the initiative in the military intelligence revolution and seeking to gain strategic initiative with new technological advantages. Russia insists on investing its limited scientific and technological resources in areas with high strategic value, cutting-edge technology, and great practicality, and regards intelligence as the key to the modernization of weapons and equipment. It has clearly proposed to increase the proportion of unmanned combat systems to 30% by 2025. [3] Other major powers such as Britain, France, India, and Japan are not to be outdone and have increased their investment and deployment in military intelligence. The fierce international strategic competition not only affects the strategic focus of military intelligence development in various countries, but also promotes the evolution and development of intelligent warfare.

Military theoretical innovation is the ideological precursor driving the evolution of intelligent warfare. It plays a significant guiding role in the development of military technology and the evolution of warfare. Human warfare history shows that for cutting-edge technologies and their materialized weaponry to truly achieve combat capability, they must be guided by advanced military theory. There are numerous examples of clinging to existing military theories and missing opportunities to build and utilize new combat capabilities. The US military has always emphasized designing warfare from a technological perspective, using the development of new operational concepts to drive innovation and leaps in defense technology, weaponry, and combat capabilities. The new operational concepts proposed by the US military in recent years all revolve around the top-level operational concept of “cross-domain collaboration.” For example, the US Air Force’s “distributed operations” decouples capabilities through “distribution” and then aggregates them through “collaboration,” thereby constructing a complete operational system. Reflected in force allocation and application, this means a small number of manned aircraft collaborating with a large number of intelligent unmanned aerial vehicles (UAVs) with decomposed functions to form an operational system. In August 2020, the US Defense Advanced Research Projects Agency (DARPA) organized the third human-machine air combat concept demonstration. In the final virtual duel, the artificial intelligence team decisively defeated the human pilot team. Russia has clearly identified military robots as a key direction for the development of military intelligence. In April of this year, Russian media disclosed that its Aerospace Forces’ “Lightning” multi-functional unmanned system has completed group deployment tests and is capable of achieving the Russian military’s “swarm” combat concept attack mission. [4] The core of these combat concepts that already have certain intelligent characteristics is to explore how intelligent warfare can coordinate the use of various military forces through the improvement of “intelligence” to defeat the opponent and achieve a complete victory with cross-domain asymmetric advantages. The formation of intelligent warfare depends on a deep understanding of intelligent technology, keen insight into its military application potential, and a high degree of integration of the art of war with intelligent technology innovation and development of intelligent military theory.

Exploring practical warfare is the primary means of driving the evolution of intelligent warfare. The evolution of warfare is a dynamic process; each form of warfare undergoes a process of quantitative change leading to qualitative change, and gradual change leading to sudden change. Compared to the rise of information warfare, intelligent warfare currently lacks a complete and typical practical example like the Gulf War. However, experiments and practices in intelligent warfare are propelling intelligent warfare from its inception to its nascent stage, and from its early stages to its advanced levels. In 2015, Russia, in the Syrian war, for the first time deployed four tracked Platform-M combat robots and two wheeled Argo combat robots in a structured manner, along with unmanned reconnaissance aircraft and the Andromeda-D automated command system, pioneering ground combat operations primarily based on combat robots. In January 2018, the Russian military, for the first time in the Syrian theater, used anti-intelligent equipment to destroy, jam, and capture 13 incoming drones. In September 2019, more than a dozen drones attacked two Saudi oil facilities, halving their oil production. In the 2020 Nagorno-Karabakh conflict, during the Azerbaijani army’s attack on the Armenian army, unmanned combat platforms exceeded manned platforms for the first time, reaching more than 75%. The number, frequency, and intensity of drone use were all the highest in the history of human warfare. [5] These practical explorations in intelligent warfare will not only promote the application of intelligent equipment on the battlefield to a wider range, a larger number of deployments, and more complex combat scenarios, but will also promote the gradual upgrading of intelligent warfare methods and anti-intelligent warfare methods in the confrontation, thereby accelerating the profound evolution of intelligent warfare.

Accurately grasp the essential characteristics of intelligent warfare

The mechanized era, represented by steam engines and internal combustion engines, greatly expanded human physical capabilities; the information age, represented by the internet and precision-guided systems, achieved an unprecedented leap in human perception; and the rapid development of intelligent technologies, represented by deep learning and autonomous decision-making, is accumulating the material and capability foundation for the intelligent era of “intelligent control of energy.” From a military perspective, the new combat forces composed of intelligent payloads, intelligent platforms, and intelligent systems will give rise to new combat styles such as unmanned swarm warfare, cognitive control warfare, and intelligent algorithm warfare. Seizing “intellectual control” will become a new commanding height in warfare.

Intelligent combat systems have become the primary form of force. The core essence of intelligent combat systems lies in “human command, machine autonomy, and network support,” a key difference from the mechanized and information-based eras. Intelligence is not unmanned; intelligent combat systems are “unmanned platforms, manned systems”—weapons in the foreground, personnel in the background. Intelligence is not about weapons becoming human, but rather the transplantation of human intelligence into weapons, achieving a high degree of integration between humans and weapons. While current artificial intelligence technology is developing rapidly, it is still human-led and human-mediated, essentially reflecting progress in human understanding of intelligence. Regardless of breakthroughs in intelligent technology, humans will remain the initiators, designers, and ultimate decision-makers of warfare. Human operational thinking is materialized into intelligent weapons in the form of rules, algorithms, software, and data. In war, intelligent weapons implement human operational intentions and achieve predetermined operational objectives. Behind the autonomous operation of intelligent weapons remains a contest of human operational methods, command styles, and willpower. Autonomy is the core attribute of military intelligence and the essential characteristic of intelligent combat forces. In other words, weaponry possesses some of the intellectual attributes of humans, enabling it to adapt to the battlefield environment, self-coordinate complex actions, and self-organize force formations under human decision-making and control. Therefore, all the advantages of intelligent combat forces derive from this characteristic of autonomy. Intelligent combat forces also possess speed; as combat operations are increasingly autonomous, the cycle time of “observation-judgment-decision-strike” will be shortened to near-instantaneous response, thus achieving a generational leap in action speed and combat rhythm. Network technology has spurred the iterative development of the Internet, the Internet of Things, and the Internet of Intelligence, forming the foundation for improving mechanization, achieving informatization, and supporting intelligence. The rapid development of new network technologies such as the Internet of Everything and human-machine interaction is leading combat formations towards a hybrid “manned/unmanned” approach, supporting intelligent combat forces through efficient collaborative networks, enabling mission customization, autonomous formation, and flexible collaboration. Once the network environment on which intelligent combat systems heavily rely is disrupted or the links are broken, their combat functions will suffer significant damage or even paralysis. This has prompted countries worldwide to pay close attention to the resilience of intelligent combat systems against interference and attacks.

Autonomous warfare has become the primary mode of combat. With the widespread application of intelligent combat systems to the armed forces and their gradual emergence as the main combat force on the battlefield, autonomous warfare has risen to become the primary mode of combat, profoundly changing combat styles in terms of autonomy, scale, flexibility, and cognition. Based on the current development trend of military intelligence, it can be predicted that the following combat styles will emerge in the future. First, adaptive warfare. This relies on the autonomous learning capabilities of intelligent weapons to react quickly to complex battlefield environments, achieving autonomous judgment, decision-making, and execution of combat actions, maximizing combat effectiveness. Specific applications include “rapid pinpoint warfare,” “intelligent network paralysis warfare,” and “bionic special operations warfare.” The main advantage of this combat style is that it can greatly overcome inherent weaknesses such as human psychological limitations, combat time limitations, and combat mobility limitations, making it particularly suitable for carrying out combat missions deep into enemy-occupied areas, nuclear radiation zones, and other high-risk areas. Simultaneously, leveraging the agility of intelligent weapons, the rapid pace of attack prevents the enemy from organizing an effective response, thus elevating the use of speed to a new level. Second, cluster attrition warfare. This refers to a combat style that primarily utilizes intelligent unmanned swarms, supplemented by a small number of manned combat systems. It mimics the “collective intelligence” exhibited by animal groups in nature, executing combat missions through a group-based autonomous and collaborative model. Specific applications include “swarm” warfare, “fish school” warfare, and “wolf pack” warfare. The main advantage of this style is the use of low-cost, small intelligent weapons to destroy high-value enemy targets through saturation or suicide attacks, transforming numerical superiority into an asymmetric system advantage over traditional large main battle platforms. Thirdly, there is synchronous parallel warfare. This involves decomposing combat functions into multiple heterogeneous small manned and unmanned combat platforms deployed across the entire domain. By establishing a distributed communication network among these platforms, synchronization is achieved in combat time, space, and hierarchy, enabling a systematic approach to completing combat missions. The main advantage of this style is the use of intelligent networks extending to widely distributed intelligent sensors, combat platforms, and individual soldier systems to conduct synchronous and parallel strikes, seizing combat superiority.

“Intelligence dominance” has become the core of warfare. The development of warfare dominance aligns with the evolution of warfare itself. Firepower and mobility are the dominant factors for victory in mechanized warfare, with land, sea, and air dominance becoming the core of the struggle for dominance. Information power is the dominant factor for victory in informationized warfare, with space and information dominance becoming the core of the struggle for dominance. Intelligent superiority is the dominant factor for victory in intelligent warfare, with “intelligence dominance” becoming the core of the struggle for dominance. Intelligent dominance, autonomous energy control, and winning through intelligence will become the fundamental principles of intelligent warfare. The struggle for “intelligence dominance” is essentially a comprehensive contest of “algorithms + data + cognition.” Algorithms are the core of intelligent technology; “algorithms as tactics, software-defined warfare” have become distinctive features of intelligent warfare. The core of algorithm construction is creating abstract models based on problems and selecting different methods to complete the algorithm design according to the target problem. The side with algorithmic advantage can accurately simulate combat scenarios, precisely estimate combat results, and maximize the deduction of optimal combat plans, providing a powerful means to achieve victory before the battle even begins. “Whoever has the most advanced algorithm will gain the upper hand” has become a new law of warfare. Data is a core resource for many disruptive technologies in the era of intelligence. Mastering, analyzing, and competing for data, and applying it to warfare, has become crucial to victory in intelligent warfare. Intelligent weapons possess some human intellectual characteristics, making the cognitive domain a focal point of conflict. Targeting cognitive loops, relying on intelligent technology to limit the enemy’s acquisition of effective information, force them to use incorrect information, delay cognitive speed, induce cognitive patterns, and block cognitive output, can disrupt enemy command and decision-making, undermine their morale, and achieve customizable and controllable application of the ancient war rule of “winning hearts and minds.” In information warfare, the side that loses information control, although its personnel and platforms may not be destroyed, loses smooth communication and cannot form an organic whole. In intelligent warfare, without intelligent advantage, even with information and energy superiority, the loss of human-machine coordination and autonomous decision-making failures will lead to a significant reduction in overall combat effectiveness.

Intelligentization has not changed the essential nature of war. Marshal Ye Jianying pointed out that “war is fought in two ways: first, politics, and second, technology. Politics determines the nature of war, and technology determines the style of war”[6]. Intelligent warfare has not overturned the basic principles of Marxist war theory, but many new developments and changes will occur in its basic scope. On the one hand, the political determinism of intelligent warfare has not changed, and it is still a tool of politics. Politics determines the motivation, purpose and nature of war. Without the purpose of war determined by politics, war becomes blind killing, and war has no soul. In the present era, hegemonism and power politics are still the main sources of war. Ethnic and religious contradictions, energy resource competition, territorial sovereignty and maritime rights disputes will still be the direct causes of war. The widespread use of unmanned autonomous systems has blurred the boundary between war and non-war. The reduction of strategic and military risks may lead to a reduction in the threshold of future wars. In particular, the dual-use nature of intelligent technologies and the widespread adoption of “open source sharing” models such as crowdsourcing, crowdfunding, and maker initiatives have made the acquisition of equipment and technologies increasingly commercialized. This will profoundly change the main actors in warfare in the intelligent era, leading to a more diversified landscape of war actors, primarily non-state actors. On the other hand, the political factors determining victory in intelligent warfare remain unchanged, still determined by the nature of war itself. Wars that promote historical progress and reflect the political goals of the majority of society are just wars; conversely, those that do not are unjust wars. The principle that just wars will inevitably win, and that the people are the foundation of victory, will remain the ironclad rule for victory in the era of intelligent warfare. However, as intelligent technologies give rise to intelligent societies, the role and status of the public in intelligent warfare will be redefined, significantly expanding the breadth and depth of public participation. The public will increasingly become the direct targets of attack, the main body of defense, and a strong support in intelligent warfare. Therefore, it is essential to examine intelligent warfare dialectically and comprehensively, avoiding purely military or technological perspectives, recognizing the “changes” and “unchanging aspects” of intelligent warfare, and thus exploring the path to victory in intelligent warfare.

Scientific prediction of the development trend of intelligent warfare

At present, intelligent warfare is still in its infancy. Predicting the development trend of intelligent warfare is both necessary and challenging. Some scholars have pointed out that although we can roughly judge the future development trends of technologies such as machine learning, industrial robots, and materials science, we cannot accurately predict how these technologies will be combined and what specific impact they will have on future warfare. [7] This requires us to break away from the mindset of starting from individual technologies and focus on understanding the possible development trends of intelligent warfare as a whole.

Intelligent warfare will evolve in stages. With the exponential, combined, and data-driven progress of modern science and technology, as well as the accelerated transformation and application in the military field, the process of weapon and equipment transformation is constantly shortening. In addition, the world is currently in a period of great development, great change, and great adjustment. Regional turmoil and local wars will become the norm, and the exploration of intelligent combat practices will become more frequent. All of these will promote the accelerated development of intelligent warfare. At the same time, due to the limitations of subjective and objective conditions such as the development of intelligent technology, the integration of intelligent forces into the combat system, and the updating of military viewpoints, the evolution of intelligent warfare will show obvious stages. Some scholars have proposed that in order to truly enter intelligent warfare, artificial intelligence technology needs to reach four levels, namely computational intelligence, perceptual intelligence, cognitive intelligence, and human-machine integrated enhanced intelligence. When artificial intelligence technology reaches the second level, intelligent warfare will begin. When it reaches the fourth level, the era of intelligent warfare will be fully opened. [8] Based on this, it can be preliminarily judged that a relatively typical intelligent warfare will appear in the next 15 years or so, and intelligent warfare may become the basic form of warfare in the next 30 years. Practice shows that every change in the military field and every evolution of the form of warfare originates from the rise of new-type combat forces. New-type combat forces, due to their unique and advanced military technologies, possess a “trump card” nature, often disrupting the balance of power on the battlefield and becoming key forces for victory. Once these new-type combat forces are integrated into the combat system and deployed on a large scale in actual warfare, it signifies a fundamental change in the nature of warfare. The true emergence of intelligent warfare will inevitably be the result of the development and expansion of new combat forces such as intelligent unmanned combat platforms and intelligent unmanned combat swarms, integrating them into the existing combat system. This is a gradual and deepening long-term process, and achieving deep integration from initial integration will not be accomplished overnight.

The development of intelligent technology will determine the direction of intelligent warfare. Intelligent technology is a science and technology that comprehensively develops and utilizes cutting-edge technologies such as brain and cognition, biological intersection, advanced computing, big data, and micro-nano technology to study the mechanisms of intelligent behavior and its realization. As the fundamental driving force and material basis for the evolution of intelligent warfare, the development trend, industrial foundation, technological maturity, and depth and breadth of its application in the military field directly determine the future direction of intelligent warfare. In its more than 60 years of development, artificial intelligence technology has experienced three rises and two falls. Currently, the development of artificial intelligence is still in the early stages of statistical learning and may remain in the stage of weak artificial intelligence for a long time. Strong artificial intelligence, which can evolve independently of humans, is difficult to achieve in the short term. The development and breakthroughs of intelligent technology directly determine whether intelligentization is a higher stage of informatization or a stage even higher than informatization. Currently, the driving force of intelligent technology development on intelligent warfare is concentrated in the following aspects: First, intelligent technology empowers existing weapons and equipment. Although current development primarily focuses on dedicated intelligent systems for specific application scenarios, it has already continuously improved the combat effectiveness of traditional main combat platforms such as aircraft carriers and aircraft, gradually evolving from direct human control to the ability to autonomously complete specific combat missions. Secondly, intelligent technology is transforming future combat command models. The integration and transformation of command and control systems by intelligent technology will promote the hybridization of command entities, the flexibility of command structures, and the agility of command models. Competition for adaptive, self-organizing, and self-coordinating command advantages at the operational level will intensify. Thirdly, intelligent technology is updating future combat processes. Intelligent technology will converge and integrate multiple kill chains across land, sea, air, and space combat domains into a cross-domain kill network, fundamentally changing the traditional single-process combat “from sensor to shooter.”

The laws of contradiction in intelligent warfare will undergo profound changes. Applying the laws of contradiction in warfare is a primary means of understanding its laws, and the confrontation between opposing sides is the fundamental contradiction in war. For intelligent warfare, these fundamental contradictions will manifest as competitive relationships such as concealment versus detection, cognition versus deception, network resilience versus network incapacity, attack versus interception, speed of action versus speed of decision-making, winning popular support versus undermining morale, attrition versus effectiveness, and delivery versus denial. With the accelerated development of intelligent technology, these core combat confrontations will become increasingly intense, and the exchange of advantages will become more frequent, thus driving intelligent warfare towards maturity. The confrontation between concealment and detection on the future battlefield will evolve towards greater intelligence, faster response, smaller size, and lower cost. Intelligent technology, as a strategic high ground technology for wielding the “double-edged sword” of information explosion, will intensify the confrontation of enhancing one’s own battlefield situational awareness and misleading, deceiving, and confusing the enemy. Intelligent network information system design and dynamic target defense technologies provide new ideas for network construction in future warfare, while cognitive electromagnetic manipulation and electromagnetic spectrum warfare, and intelligent cyberspace confrontation technologies provide new ways to attack enemy networks. The development of autonomous unmanned systems and smart munitions is expected to optimize attack methods and enhance offensive power in future warfare. The development of autonomous homing weapons and ultra-short-range interception and active protection capabilities will significantly improve the ability to defend against new threats. Autonomous unmanned systems and swarm collaboration technologies will significantly improve operational speed, while intelligent decision-making assistance and swarm intelligence operating systems can greatly improve decision-making speed. The ubiquitous network, social media, and smart terminals are deeply integrated into human life, unprecedentedly increasing the speed, scope, and accuracy of information dissemination. With the emergence of low-cost swarm drones and missiles, future warfare may well overwhelm enemy defenses with low-cost combat platforms, forcing the enemy into a war they cannot defend against or afford.

The ethical and legal regulations governing intelligent warfare will continue to strengthen. Intelligent technology is a double-edged sword; while driving the evolution of warfare towards intelligent warfare, it also brings a series of new ethical issues and legal dilemmas. For example, is it ethical to entrust machines with the power to decide human life and death? When machines possess the power to control human life and death, humanity may not be facing a brighter future, but rather a bottomless abyss of darkness. Another example is who should be held accountable for war crimes committed by intelligent weapons? This may involve the weapons themselves, users, designers, and manufacturers, and a series of resulting dilemmas regarding responsibility and rights. In recent years, the international community has increasingly emphasized the legal regulation of intelligent weapons, conducting international dialogues through international conferences, establishing relevant institutions to study legal regulatory principles, and issuing ethical guidelines for artificial intelligence, among other things. In July 2017, the Chinese government released the “New Generation Artificial Intelligence Development Plan,” proposing at the national strategic level to “initially establish a legal, ethical, and policy system for artificial intelligence” and “ensure the safe, reliable, and controllable development of artificial intelligence.” In April 2019, the European Commission released ethical guidelines for artificial intelligence, proposing seven conditions including transparency, fairness, safety, and human oversight. In October 2019, the U.S. Defense Innovation Board proposed five principles for the application of military artificial intelligence: responsibility, fairness, traceability, reliability, and controllability. Looking to the future, there is an urgent need for the international community to prioritize security and reliability as a key development direction for intelligent technologies. Strategic dialogue is crucial in areas such as the explainability and transparency of military intelligence, preventing the security risks of “instantaneous collapse” of autonomous weapon systems, and the design of new rules of engagement. This dialogue aims to promote the establishment of international rules for the military application of artificial intelligence and jointly address the global challenges that intelligent warfare may bring.

Strategic initiatives to meet the challenges of intelligent warfare

The advent of intelligent warfare may create a new military generation gap, militarily impacting the balance of power between nations and even triggering a new round of great power rise and fall. Intelligent warfare presents both new and unprecedented challenges to national security and a rare strategic opportunity for our military to achieve a leapfrog development. Faced with these opportunities and challenges, there is an urgent need for forward-looking planning, strategic deployment, and comprehensive measures to seize the strategic high ground in future military competition and firmly grasp the strategic initiative in safeguarding national security and winning intelligent warfare.

Proactively design intelligent warfare. First-rate armies design warfare, second-rate armies respond to warfare, and third-rate armies follow warfare. Facing the impending intelligent warfare, we must anticipate and proactively design warfare as early as possible, aiming to transform from following, keeping pace, to leading, and strive to become visionaries and rule-makers of future warfare. First, we must focus on designing intelligent warfare from a technological perspective, enhancing our understanding of cutting-edge technologies, keenly grasping new trends in technological development, and identifying key areas, directions, and technologies that can trigger the evolution of warfare. We must design the initiative of warfare through technological advancement, the flexibility of warfare through technological integration, and the asymmetry of warfare through technological disruption. Second, we must focus on strengthening the development of new intelligent combat concepts, considering the future security threats facing my country and the missions undertaken by our military. Based on the development, application, and impact of military intelligence, we must focus on how to leverage intelligent warfare to overcome the war threats and strategic dilemmas facing my country. Around various strategic directions and new security fields, we must systematically envision the intelligent combat scenarios that may be faced in the future, vigorously promote innovation in intelligent combat theory, and accelerate the construction of an intelligent combat theory system with Chinese characteristics. Third, we should focus on strengthening the demand-driven development of intelligent warfare, focusing on new intelligent warfare styles, systematically describing the required capabilities, systems, and equipment, and using operational needs to drive the development of military intelligence, ensuring that operational needs are implemented in all aspects and throughout the entire process of military intelligence development, and comprehensively improving the combat effectiveness of military intelligence development.

Developing intelligent weaponry and equipment. Intelligent weaponry and equipment are the material foundation of intelligent warfare and an important symbol of an intelligent military. First, we must adhere to system construction. Information warfare is about systems, and intelligent warfare is even more about systems. Currently, intelligent weaponry and equipment, represented by intelligent command and control systems, intelligent drones, intelligent tanks, intelligent missiles, and intelligent landmines, are still in a stage of fragmented development and far from forming a systematic development. How to build an intelligent weaponry and equipment system, especially an intelligent network information system, has become a major strategic issue facing us. Second, we must adhere to a balanced approach of offense and defense. Where there is a spear, there will inevitably be a shield; where there is intelligent weaponry and equipment, there will inevitably be anti-intelligent weaponry and equipment. We must coordinate the development of offensive and defensive intelligent weaponry and equipment. For intelligent weaponry and equipment, once the enemy obtains the source code, it is equivalent to gaining the right to use the weapon. This places new and higher demands on the construction of intelligent weaponry and equipment that combines offense and defense. Third, we must coordinate the integrated development of mechanization, informatization, and intelligence. We must adhere to the principle of supporting intelligence with mechanization and informatization, and driving mechanization and informatization with intelligence. Through the coupling, proportional optimization, and system integration of elements of mechanization, informatization, and intelligence, we can accelerate the transformation, upgrading, and efficiency improvement of intelligent weaponry and equipment construction.

Shaping an intelligent organizational structure. Without the modernization of the military’s organizational structure, there can be no modernization of national defense and the armed forces. The fundamental function of the military’s organizational system is to ensure the effective integration of personnel and equipment, enabling the formation and continuous improvement of the military’s overall combat capability. To win intelligent wars and build an intelligent military, it is essential to establish an intelligent organizational system and construct an intelligent military force system. An intelligent military force system is an organic whole comprised of combat forces with intelligent weapon platforms as its backbone, organized according to human-machine collaboration and machine self-organization collaboration, conducting combat operations under authorized control or supervision by humans, as well as combat support forces providing reconnaissance, intelligence, communication, and algorithm design, and logistics and equipment support forces. Following the principles of “emphasizing coordinated development, focusing on competitive advantages, and promoting system integration,” and centering on expanding the scale and optimizing troop composition, while inheriting the traditional tree-like structure and service branch structure organizational models, a dual organizational system balancing stability and innovation should be established. Efforts should be made to construct a command system with a virtualized center of gravity, explore and innovate new organizational methods such as cross-domain mixed forces and manned/unmanned mixed formations, and strive to achieve the flexible, organic, and efficient operation of the intelligent military force system.

Strengthening Strategic Management of Intelligentization. The evolution of intelligent warfare begins with technology and is perfected through management. To meet the challenges of intelligent warfare and accelerate the development of military intelligence, we must prioritize strategic management, focusing on improving the quality and efficiency of military intelligence development and the operational efficiency of intelligent military systems. From a holistic perspective, we must strengthen overall planning, system design, centralized management, and categorized guidance, forging a path of intensive and efficient intelligent development. Adapting to the rapid response capabilities required by intelligent warfare, we must optimize management systems and mechanisms, adopting networked and autonomous management models. We must improve the planning and implementation of cutting-edge intelligent technology research and development and the transformation and application of scientific and technological achievements, increasing R&D investment and support to ensure that technological innovation remains at the forefront of the times. We must strengthen the construction of a military standard system for artificial intelligence, promptly promulgate relevant laws, regulations, and rules concerning intelligent facilities, intelligent systems, intelligent weaponry, intelligent personnel, and intelligent warfare, and continuously improve key policies and systems supporting the development of military intelligence. Given the ubiquitous and easily disseminated nature of artificial intelligence technology, and the high degree of coupling between national strategic capabilities, social productivity, and military combat effectiveness, we must further optimize the open and integrated layout of intelligentization construction, streamline organizational leadership mechanisms, build a favorable development environment, and promote the organic unity of national prosperity and military strength.

現代國語:

【摘要】現代戰爭正迅速向資訊戰演進,智能戰的興起已然開始。智慧作戰系統正成為智慧戰的主力運動形態,催生出適應性戰爭、集群消耗戰、同步並行戰等新型作戰方式。 「智慧控制」已成為戰爭控制的新制高點。未來,智能戰將呈現階段性、加速演進的趨勢。智慧科技的發展將決定智慧戰的方向,深刻變革戰爭中相互矛盾的規律,並不斷強化戰爭倫理和法律規範。為因應智慧戰的挑戰,必須積極主動地進行智慧戰設計,加速智慧裝備的研發,塑造智慧化的組織形態,並加強智慧化的策略管理。

【關鍵字】智能戰,資訊戰,戰爭形式演變,戰略措施

【中國圖書館分類號】E0 【文獻識別碼】A

【DOI】10.16619/j.cnki.rmltxsqy.2021.10.002

郭明,中國人民解放軍軍事科學學院戰爭研究所副所長、研究員、博士生導師。研究方向為軍事指揮。主要著作包括《戰爭戰術》(編)和《特種作戰教程》(編)。

近年來,在新一輪技術、工業和軍事革命的推動下,戰爭形式正迅速向資訊戰演變,智慧戰即將興起。作為一種新型的未來戰爭形式,智能戰不僅正在革新人們對戰爭和軍事事務的理解,也日益受到世界各國的關注。探索和掌握智慧戰爭的特徵和規律,加速軍事情報發展,是維護中華民族偉大復興整體戰略情勢的當代挑戰。

深入理解智慧戰爭演進的驅動力

戰爭形式是戰爭的歷史階段,以主要武器的技術屬性為特徵,是人類社會在軍事領域的生產和運動方式的體現。 [1] 從歷史上看,戰爭形式經歷了冷戰、熱戰、機械化戰爭、資訊戰等多次演進,目前正朝著智慧戰爭演進。這是政治、經濟、軍事、科技、文化等多種因素共同作用的結果。

新一輪科技革命是智慧戰爭演進的根本驅動力。科技是現代戰爭的主要生產力和核心戰鬥力。軍事技術的重大突破和主導武器裝備的里程碑式發展,引發了軍事組織、作戰方式和作戰理論的徹底變革,導致戰爭的全面轉型和新型衝突形式的出現。自21世紀初以來,以「智慧化、普及化、綠色化」為特徵的新技術層出不窮。特別是人工智慧,在行動互聯網、大數據、超級運算、腦科學等新技術和理論的驅動下,展現出深度學習、跨學科融合、人機協作、集體智慧發展和自主控制等新特徵。這引發了軍事領域的一系列突破,顯著改變了人員、武器以及人員與武器、武器與武器的結合方式。各種智慧裝備計畫相繼湧現,包括「多用途無人戰術運輸」地面車輛、「忠誠僚機」無人機、「魟魚」艦載無人加油機、「海上獵人」反潛無人水面艦艇、衛星機器人、「網路空間車輛」、「自適應雷達對抗」以及「阿爾法」超視距空戰系統。人機混合編隊、無人群聚作戰和基於系統的認知欺騙將成為可能。作戰方式、指揮控制、組織結構、後勤支援、軍事訓練等各領域都出現了系統性的重大創新。 「以情報控制能力」的智慧戰爭開始出現。

大國間的戰略競爭是智慧戰爭演進的驅動力。軍事從屬於政治,戰略從屬於政治戰略。毛澤東同志指出戰爭是「在特定發展階段,為解決階級、民族、國家和政治團體之間矛盾而採取的最高形式的鬥爭」。 [2] 大國間的戰略競爭及其所產生的軍事需求是推動戰爭演變的關鍵因素。二戰期間,儘管英國、法國、德國、美國和蘇聯的軍隊都擁有坦克、飛機和無線電通訊設備,但只有德國成功實施了「閃電戰」。一個非常重要的原因是,德國試圖利用閃電戰來打破兩線作戰的戰略困境。目前,世界正經歷百年未有之大變局,國際力量平衡正經歷近代以來最劇烈的變革,國際政治經濟格局正在發生深刻的調整。出於維護其世界霸權的戰略考量,美國提出了“第三次抵消戰略”,該戰略明確將人工智慧和自主性作為發展的兩大技術支柱。它從戰爭設計、作戰概念發展、技術研發和軍費開支等各方面加速軍事情報的發展,積極在軍事情報革命中搶佔先機,力求憑藉新的技術優勢獲得戰略主動權。俄羅斯堅持將有限的科技資源投入到具有高戰略價值、尖端技術和實用性的領域,並將情報視為武器裝備現代化的關鍵。俄羅斯已明確提出2025年將無人作戰系統的比例提高到30%。 [3] 英國、法國、印度和日本等其他大國也不甘示弱,紛紛加大對軍事情報的投入與部署。激烈的國際戰略競爭不僅影響各國軍事情報發展的戰略重點,也推動智慧戰的演進與發展。

軍事理論創新是推動智慧戰演進的思想先導,在軍事技術發展和戰爭演進中扮演重要的指導角色。人類戰爭史表明,尖端技術及其物質化武器要真正發揮作戰能力,必須以先進的軍事理論為指導。固守現有軍事理論而錯失建構和運用新型作戰能力的案例不勝枚舉。美軍始終強調從技術角度設計戰爭,透過發展新的作戰概念來推動國防技術、武器裝備和作戰能力的創新與飛躍。近年來美軍提出的新作戰概念均圍繞著「跨域協同」這一最高作戰概念。例如,美軍的「分散式作戰」透過「分散式」將各項能力解耦,再透過「協同」將其聚合,從而建構一個完整的作戰系統。這體現在兵力部署和運用上,意味著少量有人駕駛飛機與大量功能分解的智慧無人機協同作戰,形成一個完整的作戰系統。 2020年8月,美國國防高級研究計畫局(DARPA)組織了第三次人機空戰概念展示。在最終的虛擬對決中,人工智慧團隊取得了決定性的勝利。俄羅斯已明確將軍用機器人視為軍事情報發展的關鍵方向。今年4月,俄羅斯媒體揭露,其空天軍「閃電」多功能無人系統已完成集群部署測試,能夠執行俄軍「集群」作戰概念的攻擊任務。 [4] 這些已具備一定智慧特質的作戰概念的核心在於探索如何透過提升「智慧」來協調各軍事力量的運用,從而憑藉跨域非對稱優勢擊敗對手並取得全面勝利。智慧戰的形成依賴於對智慧技術的深刻理解、對其軍事應用潛力的敏銳洞察,以及戰爭藝術與智慧技術創新和智慧軍事理論發展的高度融合。

探索實戰是推動智能戰演進的首要途徑。戰爭的演變是一個動態過程;每一種戰爭形式都會經歷一個從數量變化到質量變化的過程。漸進式變革最終會導致突發式變革。與資訊戰的興起相比,智能戰目前尚缺乏像海灣戰爭那樣完整且典型的實戰案例。然而,智慧戰領域的實驗和實踐正推動智慧戰從萌芽階段發展到雛形階段,再從早期階段邁向高階階段。 2015年,俄羅斯在敘利亞戰爭中首次系統性地部署了四台履帶式「平台-M」戰鬥機器人和兩台輪式「阿爾戈」戰鬥機器人,並配合無人偵察機和「仙女座-D」自動化指揮系統,開創了以戰鬥機器人為主的地面作戰先河。 2018年1月,俄羅斯軍隊首次在敘利亞戰場使用反情報設備,摧毀、幹擾並捕獲了13架來襲無人機。 2019年9月,十幾架無人機襲擊了沙烏地阿拉伯的兩處石油設施,導致其石油產量減半。在2020年納戈爾諾-卡拉巴赫衝突中,阿塞拜疆軍隊進攻亞美尼亞軍隊期間,無人作戰平台的使用率首次超過有人作戰平台,達到75%以上。無人機的使用數量、頻率和強度均創人類戰爭史新高。 [5] 這些在智慧戰領域的實踐探索,不僅將推動智慧裝備在戰場上更廣泛地應用、部署更多種類、應對更複雜的作戰場景,還將促進對抗中智能戰方法和反智能戰方法的逐步升級,從而加速智能戰的深刻演進。

準確掌握智能戰的本質特徵

以蒸汽機和內燃機為代表的機械化時代極大地拓展了人類的體能;以互聯網和精確導引系統為代表的資訊時代,使人類的感知能力實現了前所未有的飛躍;以深度學習和自主決策為代表的智能技術的快速發展,正在為“智能能源控制”的智能時代積累物質和能力基礎。從軍事角度來看,由智慧載荷、智慧平台和智慧系統構成的新型作戰力量將催生無人集群戰、認知控制戰和智慧演算法戰等新型作戰方式。 「智慧控制」將成為戰爭的新制高點。

智慧作戰系統已成為主要作戰形式。智慧作戰系統的核心在於“人指揮、機器自主、網路支援”,這與機械化和資訊時代有著關鍵區別。智慧並非無人化;智慧作戰系統是「無人平台、有人系統」──武器在前,人員在後。智慧並非武器人性化,而是將人類智慧移植到武器中,實現人與武器的高度融合。儘管目前的人工智慧技術發展迅速,但它仍然是由人主導和人類操控的,本質上反映了人類對智慧理解的進步。無論智慧科技如何突破,人類仍將是戰爭的發起者、設計者和最終決策者。人類的作戰思維以規則、演算法、軟體和資料的形式物化為智慧武器。在戰爭中,智慧武器執行人類的作戰意圖並實現預定的作戰目標。智慧武器的自主運作背後,仍是人類作戰方法、指揮風格和意志力的較量。自主性是軍事智慧的核心屬性,也是智慧作戰部隊的本質特徵。換句話說,武器具備人類的部分智慧屬性,使其能夠在人類的決策和控制下適應戰場環境、自主協調複雜行動並自主組織部隊陣型。因此,智慧作戰部隊的所有優勢都源自於自主性這項特質。智慧作戰部隊也具備速度優勢;隨著作戰行動日益自主化,「觀察-判斷-決策-打擊」的周期將縮短至近乎瞬時響應,從而實現行動速度和作戰節奏的代際飛躍。網路技術推動了互聯網、物聯網和智慧互聯網的迭代發展,為提升機械化水平、實現資訊化和支援情報化奠定了基礎。萬物互聯、人機互動等新型網路技術的快速發展正引領作戰編隊向著作為一種混合「有人/無人」模式,智慧作戰系統透過高效的協同網路支援智慧作戰力量,實現任務客製化、自主編隊和靈活協同。一旦智慧作戰系統高度依賴的網路環境遭到破壞或連結中斷,其作戰功能將遭受重大損害甚至癱瘓。這促使世界各國高度重視智慧作戰系統抵禦幹擾和攻擊的能力。

自主作戰已成為主要作戰模式。隨著智慧作戰系統在軍隊中的廣泛應用及其逐漸成為戰場主力,自主作戰已成為主要作戰模式,從自主性、規模、靈活性和認知等方面深刻改變了作戰方式。基於當前軍事智慧的發展趨勢,可以預測未來將出現以下幾種作戰模式。首先是自適應作戰。這種作戰模式依賴智慧武器的自主學習能力,快速回應複雜的戰場環境,實現自主判斷、決策和作戰行動執行,以最大限度地提高作戰效能。具體應用包括「快速精確打擊」、「智慧網路癱瘓戰」和「仿生特種作戰」。這種作戰方式的主要優勢在於能夠大幅克服人類心理、作戰時間、作戰機動性等方面的固有弱點,使其特別適用於深入敵佔區、核輻射區等高風險區域執行作戰任務。同時,憑藉著智慧武器的敏捷性,快速的攻擊節奏能夠阻止敵人組織有效的應對措施,從而將速度的運用提升到一個新的水平。其次是集群消耗戰。這種作戰方式主要利用智慧無人集群,輔以少量有人作戰系統。它模仿自然界動物群體所展現的“集體智慧”,透過基於群體的自主協作模式執行作戰任務。具體應用包括「蜂群戰」、「魚群戰」和「狼群戰」。這種作戰方式的主要優勢在於利用低成本、小型智慧武器,透過飽和攻擊或自殺式攻擊摧毀高價值敵方目標,從而將數量優勢轉化為對傳統大型主戰平台的不對稱系統優勢。第三種是同步並行作戰。這種作戰方式將作戰功能分解為部署在整個作戰域的多個異質小型有人和無人作戰平台。透過在這些平台之間建立分散式通訊網絡,實現作戰在時間、空間和層級上的同步,從而能夠系統地完成作戰任務。這種作戰方式的主要優點在於利用智慧網絡,將智慧感測器、作戰平台和單兵系統廣泛分佈,進行同步並行打擊,奪取作戰優勢。

「情報優勢」已成為戰爭的核心。戰爭優勢的發展與戰爭本身的演變一致。火力和機動性是機械化戰爭中取得勝利的關鍵因素,陸海空優勢成為爭奪優勢的核心。資訊力量是資訊化戰爭中致勝的關鍵因素,空間和資訊優勢成為爭奪主導權的核心。智慧優勢是智慧戰爭中致勝的關鍵因素,「智能主導」成為爭奪主導權的核心。智慧主導、自主能源控制和以智慧取勝將成為智慧戰爭的基本原則。 「智能主導」的爭奪本質上是「演算法+資料+認知」的綜合較量。演算法是智慧技術的核心;「演算法即戰術,軟體定義戰爭」已成為智慧戰爭的顯著特徵。演算法建構的核心是基於問題創建抽像模型,並根據目標問題選擇不同的方法完成演算法設計。擁有演算法優勢的一方可以精確模擬作戰場景,準確評估作戰結果,並最大限度地推導出最優作戰方案,從而在戰鬥開始前就擁有製勝的強大手段。 「誰擁有最先進的演算法誰就佔優勢」已成為新的戰爭法則。在智慧時代,數據是許多顛覆性技術的核心資源。在智慧戰爭中,掌握、分析和爭奪數據並將其應用於戰爭,已成為取得勝利的關鍵。智慧武器具​​備某些人類智力特徵,使得認知領域成為衝突的焦點。透過智慧技術,針對認知迴路,限制敵方獲取有效訊息,迫使其使用錯誤訊息,延緩其認知速度,誘導其認知模式,並阻斷其認知輸出,可以擾亂敵方的指揮和決策,打擊其士氣,從而實現對「贏得民心」這一古老戰爭法則的可定制化和可控應用。在資訊戰中,失去資訊控制的一方,即使其人員和平台可能未被摧毀,也會失去順暢的溝通,無法形成一個有機的整體。在智慧戰爭中,即使擁有資訊和能源優勢,如果沒有智慧優勢,人機協調的喪失和自主決策的失敗也會導致整體作戰效能的顯著下降。

智能化並未改變戰爭的本質。葉劍英元帥指出,「戰爭有兩種方式:一是政治,二是技術。政治決定戰爭的本質,技術決定戰爭的方式」[6]。智慧戰爭並未顛覆馬克思主義戰爭理論的基本原則,但其基本範圍將出現許多新的發展和變化。一方面,智慧戰爭的政治決定性並未改變,它仍是政治的工具。政治決定戰爭的動機、目的和本質。如果戰爭的目的沒有政治的確定,戰爭就變成了盲目的殺戮,戰爭失去了靈魂。在當今時代,霸權主義和強權政治仍然是戰爭的主要根源。民族和宗教矛盾、能源資源競爭、領土主權和海洋權益爭端仍將是戰爭的直接原因。無人自主系統的廣泛應用模糊了戰爭與非戰爭的界線。戰略和軍事風險的降低可能導致未來戰爭門檻的降低。尤其值得注意的是,智慧科技的雙重用途特性以及眾包、眾籌、創客計畫等「開源共享」模式的廣泛應用,使得裝備和技術的獲取日益商業化。這將深刻改變智慧時代戰爭的主要參與者,導致戰爭行為體更加多元化,其中非國家行為者特別突出。另一方面,決定智慧戰爭勝負的政治因素依然不變,仍取決於戰爭本身的本質。促進歷史進步並反映社會大多數人政治目標的戰爭是正義戰爭;反之,則為非正義戰爭。正義戰爭必勝、人民是勝利基石的原則,仍將是智慧戰爭時代勝利的鐵律。然而,隨著智慧科技催生智慧社會,公眾在智慧戰爭中的角色和地位將被重新定義,公眾參與的廣度和深度將顯著提升。公眾將日益成為攻擊的直接目標、防禦的主力軍以及智慧戰爭的強大後盾。因此,必須辯證、全面地審視智能戰,避免純粹的軍事或技術視角,認識到智能戰的“變化”與“不變”,從而探索智能戰的製勝之道。

智慧戰發展趨勢的科學預測

目前,智能戰仍處於起步階段。預測智能戰的發展趨勢既必要又具有挑戰性。一些學者指出,雖然我們可以大致判斷機器學習、工業機器人、材料科學等技術的未來發展趨勢,但我們無法準確預測這些技術將如何融合,以及它們將對未來戰爭產生何種具體影響。 [7] 這就要求我們摒棄從單一技術出發的思維模式,並著眼於理解智能戰整體可能的發展趨勢。

智能戰將分階段演進。隨著現代科技呈指數級、整合式和數據驅動式發展,以及在軍事領域的加速轉型應用,武器裝備的轉型升級進程也不斷縮短。此外,世界目前正處於大發展、大變革和大調整時期。區域動盪和局部戰爭將成為常態,情報探索也將日益頻繁。智慧作戰實踐將日益頻繁,所有這些都將促進智慧戰爭的加速發展。同時,由於智慧科技發展、智慧力量融入作戰體系、軍事觀點更新等主客觀條件的限制,智慧戰爭的演進將呈現明顯的階段性。一些學者提出,要真正進入智慧戰爭階段,人工智慧技術需要達到四個層次,即計算智能、感知智能、認知智能和人機融合增強智能。當人工智慧技術達到第二層次時,智慧戰爭將開始;當達到第四層次時,智慧戰爭時代將全面開啟。 [8] 基於此,可以初步判斷,未來15年左右將出現較為典型的智慧戰爭,未來30年內智能戰爭可能成為戰爭的基本形式。實踐表明,軍事領域的每一次變革和戰爭形式的每一次演進都源於新型作戰力量的出現。新型作戰力量憑藉著獨特而先進的軍事技術,具有「王牌」性質,往往能夠打破戰場上的力量平衡,成為決定勝負的關鍵力量。一旦這些新型作戰力量融入作戰體系並在實戰中大規模部署,就標誌著戰爭性質的根本性轉變。智慧戰爭的真正出現,必然是智慧無人作戰平台、智慧無人作戰集群等新型作戰力量發展壯大並融入現有作戰體系的結果。這是一個循序漸進、不斷深化的長期過程,從初步融合到深度融合並非一朝一夕之功。

智慧技術的發展將決定智慧戰爭的方向。智慧技術是一門綜合發展與運用腦與認知、生物交叉、先進計算、大數據、微納技術等尖端技術,研究智慧行為機制及其實現方式的科學技術。作為智慧戰爭演進的根本驅動力和物質基礎,人工智慧的發展趨勢、產業基礎、技術成熟度以及在軍事領域的應用深度和廣度直接決定智慧戰爭的未來發展方向。人工智慧技術在60多年的發展歷程中經歷了三次崛起和兩次衰落。目前,人工智慧的發展仍處於統計學習的早期階段,並且可能在很長一段時間內都停留在弱人工智慧階段。能夠獨立於人類演進的強人工智慧,短期內難以實現。智慧科技的發展與突破直接決定智慧化是資訊化的更高階段,還是超越資訊化的更高階段。目前,智慧科技發展對智慧戰爭的驅動力主要集中在以下幾個面向:首先,智慧科技賦能現有武器裝備。雖然目前發展主要集中於針對特定應用場景的專用智慧系統,但它已經不斷提升了航空母艦、飛機等傳統主戰平台的作戰效能,逐步從直接由人類操控發展到能夠自主完成特定作戰任務。其次,智慧技術正在改變未來的作戰指揮模式。智慧技術對指揮控制系統的整合與改造將促進指揮實體的混合化、指揮結構的彈性與指揮模式的敏捷性。作戰層面上對適應性、自組織性和自協調性指揮優勢的競爭將更加激烈。第三,智慧科技正在更新未來的作戰流程。智慧技術將陸、海、空、天等多個作戰領域的多條殺傷鏈融合整合為跨域殺傷網絡,從根本上改變傳統的「從感測器到射手」的單一作戰流程。

智慧戰爭中的矛盾規律將會發生深刻變化。運用戰爭中的矛盾規律是理解戰爭規律的主要途徑,而交戰雙方的對抗是戰爭的根本矛盾。對於智慧戰爭而言,這些根本矛盾將表現為競爭關係。諸如隱藏與偵測、認知與欺騙、網路韌性與網路癱瘓、攻擊與攔截、行動速度與決策速度、贏得民眾支持與打擊士氣、消耗戰與實效、投送與拒止等核心對抗手段,隨著智慧科技的加速發展,這些核心對抗將愈發激烈,優勢交換也將更加頻繁,從而推動智慧戰爭走向成熟。未來戰場上隱蔽與偵測的對抗將朝著更高智慧化、更快反應速度、更小規模和更低成本的方向發展。智慧技術作為運用資訊爆炸這把「雙面刃」的戰略制高點技術,將加劇提升自身戰場態勢感知能力與誤導、欺騙、迷惑敵方之間的對抗。智慧網路資訊系統設計和動態目標防禦技術為未來戰爭中的網路建設提供了新的思路,而認知電磁操控、電磁頻譜戰以及智慧網路空間對抗技術則為攻擊敵方網路提供了新的途徑。自主無人系統和智慧彈藥的發展有望優化未來戰爭的攻擊方式,並增強進攻能力。自主導引武器、超短程攔截和主動防護能力的提升將顯著增強防禦新型威脅的能力。自主無人系統和叢集協同技術將顯著提升作戰速度,而智慧決策輔助和叢集智慧作業系統則能大幅提升決策速度。無所不在的網路、社群媒體和智慧終端已深度融入人類生活,以前所未有的速度、範圍和準確性提升了資訊傳播。隨著低成本集群無人機和飛彈的出現,未來戰爭很可能憑藉低成本作戰平台壓倒敵方防禦,迫使敵方陷入一場既無力抵抗也無法承擔的戰爭。

有關智慧戰爭的倫理和法律規範將不斷完善。智慧科技是一把雙面刃;在推動戰爭向智慧戰爭演進的同時,也帶來了一系列新的倫理問題和法律困境。例如,將決定人類生死的權力賦予機器是否合乎倫理?當機器擁有掌控人類生死的權力時,人類面臨的可能並非更光明的未來,而是無底的黑暗深淵。另一個例子是,誰應該為智慧武器所犯下的戰爭罪行負責?這可能涉及武器本身、使用者、設計者和製造商,以及由此產生的一系列關於責任和權利的難題。近年來,國際社會日益重視智慧武器的法律監管,透過國際會議進行國際對話,建立相關機構研究法律監管原則,並發佈人工智慧倫理準則等。 2017年7月,中國政府發布了《新一代人工智慧發展規劃》,在國家戰略層面提出“初步建立人工智慧的法律、倫理和政策體系”,並“確保人工智慧安全、可靠、可控發展”。 2019年4月,歐盟委員會發布了人工智慧倫理準則,提出了包括透明度、公平性、安全性和人工監督在內的七項條件。同年10月,美國國防創新委員會提出了軍事人工智慧應用的五個原則:責任性、公平性、可追溯性、可靠性和可控制性。展望未來,國際社會迫切需要將安全性和可靠性作為智慧技術發展的關鍵方向。在軍事情報的可解釋性和透明度、防止自主武器系統「瞬間崩潰」帶來的安全風險以及製定新的交戰規則等領域,戰略對話至關重要。此次對話旨在促進制定人工智慧軍事應用的國際規則,並共同應對智慧戰爭可能帶來的全球性挑戰。

因應智慧戰爭挑戰的戰略舉措

智慧戰爭的出現可能會造成新的軍事世代差距,對國家間的軍事力量平衡產生影響,甚至引發新一輪的大國興衰。智慧戰爭既為國家安全帶來了前所未有的新挑戰,也為我軍實現跨越式發展提供了難得的戰略機會。面對這些機會和挑戰,亟需進行前瞻性規劃、戰略部署和綜合措施,在未來的軍事競爭中佔據戰略制高點,牢牢掌握維護國家安全和贏得智慧戰爭的戰略主動權。

主動設計智慧戰爭。一流軍隊設計戰爭,二流軍隊應對戰爭,三流軍隊跟隨戰爭。面對即將到來的智慧戰爭,我們必須儘早預判並主動設計戰爭,力爭從跟隨、並駕齊驅轉變為引領,努力成為未來戰爭的先行者和規則制定者。首先,我們必須從技術角度出發,著力設計智慧戰爭,加深對尖端技術的理解,敏銳掌握技術發展的新趨勢,辨識能夠引發戰爭演進的關鍵領域、方向和技術。我們必須透過科技進步來設計戰爭的主動性,透過科技融合來設計戰爭的彈性,透過科技顛覆來設計戰爭的非對稱性。其次,我們必須著重加強新型智慧作戰概念的研發,結合我國未來面臨的安全威脅和軍隊的任務,在軍事情報發展、應用和影響的基礎上,重點研究如何利用智慧作戰來應對我國面臨的戰爭威脅和戰略困境。圍繞著不同的戰略方向和新的安全領域,我們必須有系統地構想未來可能面臨的智慧作戰場景,大力推動智慧作戰理論創新,加速建構具有中國特色的智慧作戰理論體系。第三,我們應該著重加強智慧作戰需求驅動型發展,聚焦新型智慧作戰模式,系統地描述所需的能力、系統和裝備,以作戰需求為導向,推動軍事情報發展,確保作戰需求在軍事情報發展的各個面向和整個過程中得到貫徹落實,全面提升軍事情報發展的作戰效能。

研發智慧武器裝備。智慧武器裝備是智慧戰爭的物質基礎,也是智慧軍隊的重要像徵。首先,必須堅持系統化建設。資訊戰的核心在於系統,而智慧戰爭更是如此。目前,以智慧指揮控制系統、智慧無人機、智慧坦克、智慧飛彈、智慧地雷等為代表的智慧武器裝備仍處於分散發展階段,距離系統化發展還很遠。如何建構智慧武器裝備系統,特別是智慧網路資訊系統,已成為我們面臨的重大戰略問題。其次,必須堅持攻守平衡發展。有矛必有盾,有智慧武器裝備必有反智能武器裝備。必須協調發展攻防兼備的智慧武器裝備。對於智慧武器裝備而言,一旦敵方取得了原始碼,就相當於獲得了使用該武器的權利。這就對攻防兼備的智慧武器裝備建設提出了新的更高要求。第三,要協調機械化、資訊化和智慧化的一體化發展。要堅持以機械化和資訊化支撐智能化,以智慧化驅動機械化和資訊化的原則。透過機械化、資訊化和智慧化各要素的耦合、比例優化和系統集成,可以加速智慧武器裝備建設的轉型升級和效率提升。

建構智能化的組織結構。沒有軍隊組織結構的現代化,就沒有國防和軍隊的現代化。軍隊組織體系的根本功能是確保人員和裝備的有效整合,從而形成和不斷提升軍隊的整體作戰能力。打贏智慧戰爭,建構智慧化的軍隊。對於精銳軍隊而言,建立智慧組織體系、建構智慧化軍事力量體系至關重要。智慧化軍事力量體係是一個有機整體,由以智慧武器平台為骨幹的作戰力量、按照人機協同和機器自組織協同原則組織起來的作戰力量、在人類授權控製或監督下開展作戰行動的作戰支援力量以及提供偵察、情報、通信和演算法設計的作戰支援力量和後勤裝備支援力量組成。應遵循「強調協同發展、聚焦競爭優勢、推進系統整合」的原則,以擴大規模、優化部隊構成為核心,在繼承傳統樹狀結構和兵種結構組織模式的基礎上,建構穩中創新並重的雙軌組織體系。應努力建構重心虛擬化的指揮體系,探索創新跨域混合部隊、有人/無人混合編隊等新型組織方式,力求實現智慧化軍事力量體系的靈活、有機、高效運作。

加強智能化策略管理。智能戰的演進始於技術,終於管理。為因應智慧戰的挑戰,加速軍事情報發展,必須優先發展戰略管理,並專注於提升軍事情報發展的品質和效率,以及智慧軍事系統的作戰效能。若要從整體加強統籌規劃、系統設計、集中管理和分類指導,打造密集、高效的智慧發展道路。要適應智慧戰對快速反應能力的要求,優化管理體系和機制,採用網路化、自主化的管理模式。要完善前沿智慧技術研發與科技成果轉換應用的規劃與實施,加大研發投入與支持力度,確保技術創新始終處於時代前沿。要加強人工智慧軍事標準體系建設,及時頒布智慧設施、智慧系統、智慧武器、智慧人員和智慧戰的法律法規,不斷完善支持軍事情報發展的關鍵政策和製度。鑑於人工智慧技術的普及性和易傳播性,以及國家戰略能力、社會生產力和軍事作戰效能之間的高度耦合性,我們必須進一步優化智能化建設的開放一體化佈局,精簡組織領導機制,營造良好的發展環境,促進國家繁榮與軍事實力的有機統一。

注释

[1]《中国军事百科全书·战略》(第二版),北京:中国大百科全书出版社,2014年,第506页。

[2]《毛泽东选集》第1卷,北京:人民出版社,1991年,第171页。

[3]赵林:《从空中、地面到水下无人作战系统——无人作战,俄军走了多远》,《解放军报》,2019年1月31日第11版。

[4]陈梓毅、饶雨峰、马建光:《“闪电”无人机或成俄空天军未来作战新秀》,2020年4月16日,人民网,http://military.people.com.cn/n1/2021/0416/c1011-32079848.html。

[5]兰顺正:《纳卡冲突中的现代武器及战术比拼》,《世界知识》,2020年第24期。

[6]《叶剑英军事文选》,北京:解放军出版社,1996年,第250页。

[7]傅莹:《看世界2》,北京:中信出版社,2021年,第292页。

[8]李始江、杨子明、陈分有:《以新理念迎接智能化战争挑战》,《解放军报》,2018年7月26日,第7版。

2021-08-11 15:xx 来源: 《人民论坛·学术前沿》2021年5月下 作者: 郭明

中國原創軍事資源:https://www.rmlt.com.cn/2021/0811/68281848089.shtml

A Look at Chinese Intelligent Warfare: Reflections on Warfare Brought by AGI

檢視中國智能戰:對通用人工智慧帶來的戰爭的反思

現代英語:

AGI and its implications for warfare

  Editor’s Note

  Technology and war are inextricably intertwined. While technological innovation continuously alters the face of warfare, it hasn’t changed the violent nature and coercive purpose of war. In recent years, with the rapid development and application of artificial intelligence (AI) technology, the debate about its impact on warfare has never ceased. Compared to artificial intelligence (AI), artificial general intelligence (AGI) possesses a higher level of intelligence and is considered a form of intelligence comparable to human intelligence. How will the emergence of AGI affect warfare? Will it change the violent and coercive nature of war? This article will explore this question with a series of reflections.

  Is AGI merely an enabling technology?

  Many believe that while large-scale models and generative artificial intelligence demonstrate the powerful military application potential of AGI, they are ultimately just enabling technologies. They can only enhance and optimize weapons and equipment, making existing equipment smarter and improving combat efficiency, but they are unlikely to bring about a true military revolution. Just as “cyber warfare weapons” were once highly anticipated by many countries when they first appeared, but now it seems that these expectations were somewhat exaggerated.

  The disruptive nature of AGI is entirely different. It brings profound changes to the battlefield with reaction speeds and knowledge far exceeding those of humans. More importantly, it fosters rapid technological advancement, resulting in massive disruptive outcomes. On the future battlefield, autonomous weapons will be endowed with advanced intelligence by AGI, their performance will be universally enhanced, and they will become “strong in offense and difficult in defense” due to their speed and swarm advantages. At that time, the highly intelligent autonomous weapons predicted by some scientists will become a reality, with AGI playing a crucial role. Currently, the military applications of artificial intelligence include autonomous weapons, intelligence analysis, intelligent decision-making, intelligent training, and intelligent support, applications that are difficult to summarize simply as “empowerment.” Moreover, AGI develops rapidly, with short iteration cycles, and is constantly evolving. Future warfare requires prioritizing AGI and paying close attention to its potential changes.

  Will AGI make wars disappear?

  Historian Jeffrey Blainey argues that “wars always occur because of misjudgments of each other’s strength or will,” and that with the application of AGI in the military field, misjudgments will become increasingly rare. Therefore, some scholars speculate that wars will decrease or even disappear. Indeed, relying on AGI can significantly reduce misjudgments, but even so, it’s impossible to eliminate all uncertainty, as uncertainty is a defining characteristic of war. Moreover, not all wars arise from misjudgments, and the inherent unpredictability and unexplainability of AGI, along with the lack of experience in using AGI, will introduce new uncertainties, plunging people into an even deeper “fog of artificial intelligence.”

  AGI algorithms also present rational challenges. Some scholars believe that AGI’s ability to mine and accurately predict crucial intelligence has a dual impact. In practice, AGI does indeed make fewer mistakes than humans, improving intelligence accuracy and reducing misjudgments; however, it can sometimes lead to overconfidence and encourage reckless actions. The offensive advantage brought by AGI results in the optimal defensive strategy being “preemptive strike,” disrupting the balance between offense and defense, triggering a new security dilemma, and ultimately increasing the risk of war.

  AGI (Automatic Generative Technology) is highly versatile and easily integrated into weaponry. Unlike nuclear, biological, and chemical technologies, it has a low barrier to entry and is particularly prone to proliferation. Due to technological gaps between countries, immature AGI weapons could potentially be deployed on the battlefield, posing significant risks. For example, the application of drones in recent local wars has spurred many small and medium-sized countries to begin large-scale drone procurement. The low-cost equipment and technologies offered by AGI could very well trigger a new arms race.

  Will AGI be the ultimate deterrent?

  Deterrence is maintaining a capability to intimidate an adversary from taking actions that exceed one’s own interests. Ultimate deterrence is when it becomes so powerful as to be unusable, such as nuclear deterrence that ensures mutual destruction. But ultimately, however, it is “human nature” that determines the outcome—a crucial element that will never be absent from war.

  Without the considerations of “humanity,” will AGI become a formidable deterrent? AGI is fast but lacks empathy; its execution is resolute, severely compressing the space for strategic maneuvering. AGI is a key factor on the future battlefield, but due to a lack of practical experience, accurate assessment is difficult, easily leading to overestimation of the opponent’s capabilities. Furthermore, regarding autonomous weapon control, whether to have humans on-site, providing full supervision, or to have humans off-site, completely relinquishing control, undoubtedly requires careful consideration. Can the firing control of intelligent weapons be handed over to AGI? If not, the deterrent effect will be greatly diminished; if so, can human life and death truly be decided by machines unrelated to them? Research at Cornell University shows that large-scale wargaming models frequently escalate wars with a “sudden nuclear attack,” even when in a neutral state.

  Perhaps one day in the future, AGI will surpass human capabilities, rendering us unable to regulate and control it. Jeffrey Hinton, who coined the term “deep learning,” says he has never seen a case where something with a higher level of intelligence was controlled by something with a lower level of intelligence. Some research teams believe that humans may not be able to supervise super-intelligent AI. Faced with powerful AGI in the future, will we truly be able to control them? This is a question worth pondering.

  Will AGI change the nature of warfare?

  With the widespread use of AGI, will battlefields filled with violence and bloodshed disappear? Some argue that AI warfare far exceeds human capabilities, potentially pushing humanity out of the fray. When AI transforms warfare into a conflict entirely between autonomous robots, will it still be a “violent and bloody war”? When adversaries with unequal capabilities clash, the weaker party may not even have a chance to act. Can war be ended before it even begins through war games? Will AGI fundamentally alter the nature of warfare? Is a “war” without human intervention still a war?

  Yuval Noah Harari, author of *Sapiens: A Brief History of Humankind*, states that all human behavior is mediated by language and influences our history. The Large Language Model (AGI) is a typical example of AGI, differing from other inventions in its ability to create entirely new ideas and cultures. “Artificial intelligence that can tell stories will change the course of human history.” When AGI gains control over language, the entire system of civilization built by humanity could be overturned, without even requiring AGI to develop consciousness. Like Plato’s Allegory of the Cave, will humanity worship AGI as a new “god”?

  AGI (Artificial Intelligence Generative Devices) establishes a close relationship with humans through human language and alters their perceptions, making them difficult to discern and identify. This poses a risk that the will to fight could be controlled by those with ulterior motives. Harari stated that computers don’t need to deploy killer robots; if necessary, they will allow humans to pull the trigger themselves. AGI precisely manufactures and refines situational information, controlling battlefield perception through deepfakes. This can be achieved through drones faking battlefield situations and pre-war propaganda, as evidenced in recent local wars. The cost of war would thus decrease significantly, leading to new forms of warfare. Would small and weak nations still have a chance? Can the will to fight be changed without bloodshed? Is “force” no longer a necessary condition for the definition of war?

  The form of war may change, but its essence remains. Regardless of how “bloody” war is, it will still force the enemy to submit to its will and inflict significant “collateral damage,” only the methods of confrontation may be entirely different. The essence of war lies in the deep-seated “human nature,” which is determined by culture, history, behavior, and values. It is difficult to completely replicate using any artificial intelligence technology. Therefore, we cannot outsource all ethical, political, and decision-making issues to artificial intelligence, nor can we expect it to automatically generate “human nature.” Artificial intelligence technology may be abused due to impulsive passions, so it must be under human control. Since artificial intelligence is trained by humans, it will never be without bias, so it cannot be completely free from human supervision. In the future, artificial intelligence can become a creative tool or partner, enhancing “tactical imagination,” but it must be “aligned” with human values. These issues require continuous reflection and understanding in practice.

  Will AGI revolutionize war theory?

  Most academic knowledge is expressed in natural language. A comprehensive language model, encompassing the vast body of human writing, can connect seemingly incompatible linguistic works with scientific research. For example, some have input classical works, and even works from philosophy, history, political science, and economics, into a comprehensive language model for analysis and reconstruction. They’ve found that it can comprehensively analyze all scholars’ viewpoints and also offer its own “insights,” without sacrificing originality. Therefore, some have suggested that AGI could also be used to re-analyze and interpret war theory, stimulating human innovation and driving significant evolution and reconstruction of war theory and its systems. Perhaps theoretically, this could indeed lead to some improvements and developments, but war science is not only theoretical but also practical, and practicality and realism are fundamentally beyond AGI’s capabilities. Can classical war theory truly be reinterpreted? If so, what is the significance of the theory?

  In short, AGI’s disruptive impact on the concept of warfare will far exceed “mechanization” and “informatization.” We must embrace AGI boldly, yet remain cautious. Understanding the concept prevents ignorance; in-depth research prevents falling behind; and strengthened oversight prevents oversight. How to cooperate with AGI and guard against adversaries’ AGI technological surprise attacks is our primary concern for the future. (Rong Ming, Hu Xiaofeng)

 Postscript

  Think ahead and envision the future with an open mind

  Futurist Roy Amara famously asserted that people tend to overestimate the short-term benefits of a technology while underestimating its long-term impact, a principle known as “Amara’s Law.” This law emphasizes the non-linear nature of technological development, meaning that the actual impact of technology often only becomes fully apparent over a longer timescale. It reflects the pulse and trends of technological development, and embodies humanity’s acceptance and aspirations towards technology.

  Currently, in the development of artificial intelligence from weak AI to strong AI, and from specialized AI to general AI, every time people think they have completed 90% of the process, looking back, they may have only completed less than 10%. The driving role of technological revolution in military revolution is becoming increasingly prominent, especially as high-tech, represented by AI, penetrates the military field in multiple ways, profoundly changing the mechanisms, elements, and methods of winning wars.

  In the foreseeable future, intelligent technologies such as AGI will continue to iterate, and the cross-evolution of intelligent technologies and their empowering applications in the military field will become increasingly diversified, perhaps even transcending the boundaries of humanity’s current understanding of warfare. The development of technology is unstoppable, and no one can halt it. Whoever can use keen insight and a clear mind to see the trends and future of technology, to recognize its potential and power, and to penetrate the “fog of war,” is more likely to seize the initiative and gain the upper hand.

  This reminds us that exploring the future forms of warfare requires a broader perspective and more nuanced thinking to get closer to the underestimated reality. Where is AGI headed? Where is intelligent warfare headed? These questions test human wisdom. (Ye Chaoyang)

現代國語:

通用人工智慧及其對戰爭的影響

編按

科技與戰爭密不可分。科技創新不斷改變戰爭的面貌,卻並未改變戰爭的暴力本質與脅迫目的。近年來,隨著人工智慧(AI)技術的快速發展和應用,關於其對戰爭影響的爭論從未停止。與人工智慧(AI)相比,通用人工智慧(AGI)擁有更高層次的智能,被認為是一種可與人類智能相媲美的智能形式。 AGI的出現將如何影響戰爭?它會改變戰爭的暴力和脅迫本質嗎?本文將透過一系列思考來探討這個問題。

AGI只是一種賦能技術嗎?

許多人認為,儘管大規模模型和生成式人工智慧展現了AGI強大的軍事應用潛力,但它們最終只是賦能技術。它們只能增強和優化武器裝備,使現有裝備更加智能,提高作戰效率,但不太可能帶來真正的軍事革命。正如「網路戰武器」最初出現時曾被許多國家寄予厚望,但現在看來,這些期望有些過高。

通用人工智慧(AGI)的顛覆性本質則截然不同。它以遠超人類的反應速度和知識水平,為戰場帶來深刻變化。更重要的是,它促進了技術的快速發展,從而產生巨大的顛覆性影響。在未來的戰場上,AGI將賦予自主武器先進的智能,使其性能全面提升,並憑藉其速度和集群優勢,成為「攻守難攻」的武器。屆時,一些科學家預測的高智慧自主武器將成為現實,而AGI將在其中扮演至關重要的角色。目前,人工智慧的軍事應用包括自主武器、情報分析、智慧決策、智慧訓練和智慧支援等,這些應用很難簡單地用「賦能」來概括。此外,通用人工智慧(AGI)發展迅速,迭代周期短,並且不斷演進。未來的戰爭需要優先考慮AGI,並密切關注其潛在的變化。

AGI會讓戰爭消失嗎?

歷史學家杰弗裡·布萊尼認為,“戰爭總是由於對彼此實力或意志的誤判而發生的”,而隨著AGI在軍事領域的應用,誤判將變得越來越少見。因此,一些學者推測戰爭將會減少甚至消失。的確,依賴AGI可以顯著減少誤判,但即便如此,也無法完全消除不確定性,因為不確定性是戰爭的本質特徵。此外,並非所有戰爭都源自於誤判,AGI固有的不可預測性和不可解釋性,以及缺乏使用AGI的經驗,將會帶來新的不確定性,使人們陷入更深的「人工智慧迷霧」。

通用人工智慧(AGI)演算法也帶來了理性方面的挑戰。一些學者認為,AGI挖掘和準確預測關鍵情報的能力具有雙重影響力。在實踐中,AGI確實比人類犯錯更少,提高了情報準確性並減少了誤判;然而,它有時會導致過度自信,並助長魯莽行動。 AGI帶來的進攻優勢使得最佳防禦策略成為“先發製人”,打破了攻防平衡,引發了新的安全困境,並最終增加了戰爭風險。

AGI(自動生成技術)用途廣泛,易於整合到武器系統中。與核武、生物武器和化學武器不同,AGI的進入門檻低,且極易擴散。由於各國之間存在技術差距,不成熟的AGI武器有可能部署到戰場上,造成重大風險。例如,無人機在近期局部戰爭中的應用促使許多中小國家開始大規模採購無人機。通用人工智慧(AGI)提供的低成本裝備和技術很可能引發一場新的軍備競賽。

通用人工智慧會成為終極威懾力量嗎?

威懾是指維持一種能力,使對手不敢採取超越自身利益的行動。終極威懾是指威懾力強大到無法使用,例如確保相互毀滅的核威懾。但最終,決定戰爭結果的是「人性」——這是戰爭中永遠不可或缺的關鍵因素。

如果忽略「人性」因素,通用人工智慧會成為強大的威懾力量嗎?通用人工智慧速度很快,但缺乏同理心。其執行果斷,嚴重壓縮了戰略迴旋空間。通用人工智慧(AGI)是未來戰場上的關鍵因素,但由於缺乏實戰經驗,準確評估其能力十分困難,容易導致高估對手實力。此外,關於自主武器控制,究竟是安排人員在現場進行全面監督,還是安排人員遠端操控,完全放權,無疑需要慎重考慮。智慧武器的發射控制權能否移交給AGI?如果不能,威懾效果將大大降低;如果可以,人類的生死真的能由與他們無關的機器來決定嗎?康乃爾大學的研究表明,即使在中立國,大規模兵棋推演模型也經常會透過「突然的核攻擊」來升級戰爭。

或許在未來的某一天,AGI的能力將超越人類,使我們無法對其進行監管和控制。 「深度學習」一詞的創造者傑弗裡·辛頓表示,他從未見過智能水平更高的系統被智能水平較低的系統控制的情況。一些研究團隊認為,人類或許無法監管超級人工智慧。未來,面對強大的通用人工智慧(AGI),我們真的能夠控制它們嗎?這是一個值得深思的問題。

通用人工智慧會改變戰爭的本質嗎?

隨著通用人工智慧的廣泛應用,充滿暴力和血腥的戰場會消失嗎?有人認為,人工智慧戰爭的能力遠遠超過人類,甚至可能將人類擠出戰場。當人工智慧將戰爭完全轉變為自主機器人之間的衝突時,它還會是「暴力和血腥的戰爭」嗎?當能力懸殊的對手對抗時,較弱的一方可能根本沒有機會採取行動。戰爭能否透過兵棋推演在爆發前就結束?通用人工智慧會從根本改變戰爭的本質嗎?一場無人幹預的「戰爭」還能稱之為戰爭嗎?

《人類簡史》的作者尤瓦爾·赫拉利指出,所有人類行為都受語言影響,並影響我們的歷史。通用人工智慧(AGI)是AGI的典型例子,它與其他發明不同之處在於能夠創造全新的想法和文化。 「能夠講述故事的人工智慧將改變人類歷史的進程。」當AGI掌控語言時,人類建立的整個文明體係都可能被顛覆,甚至無需AGI發展出意識。就像柏拉圖的洞穴寓言一樣,人類會把AGI當成新的「神」嗎?

AGI(人工智慧生成設備)透過人類語言與人類建立密切聯繫,並改變人類的感知,使其難以辨認和識別。這帶來了一個風險:人類的戰鬥意志可能被別有用心之人所操控。哈拉里指出,電腦無需部署殺手機器人;如有必要,它們將允許人類自行扣動扳機。通用人工智慧(AGI)能夠精確地製造和完善態勢訊息,並透過深度偽造技術控制戰場感知。正如近期局部戰爭所證明的那樣,無人機可以透過偽造戰場態勢和戰前宣傳來實現這一點。戰爭成本將因此大幅降低,進而催生新的戰爭形式。弱小國還有勝算?能否在不流血的情況下改變人們的戰鬥意志? 「武力」是否不再是戰爭定義的必要條件?

戰爭的形式或許會改變,但本質不變。無論戰爭多麼“血腥”,它仍然會迫使敵人屈服於其意志,並造成重大的“附帶損害”,只是對抗的方式可能截然不同。戰爭的本質在於根深蒂固的“人性”,而人性又由文化、歷史、行為和價值觀所決定。任何人工智慧技術都難以完全複製人性。因此,我們不能將所有倫理、政治和決策問題都外包給人工智慧,也不能指望它會自動產生「人性」。人工智慧技術可能因衝動而濫用,因此必須受到人類的控制。由於人工智慧是由人類訓練的,它永遠無法完全消除偏見,因此也無法完全脫離人類監督。未來,人工智慧可以成為一種創造性的工具或夥伴,增強“戰術想像”,但它必須與人類價值觀“保持一致”。這些問題需要在實踐中不斷反思和理解。

通用人工智慧(AGI)會徹底改變戰爭理論嗎?

大多數的學術知識都是用自然語言表達。一個涵蓋人類浩瀚文字的綜合語言模型,可以將看似不相容的語言作品與科學研究連結起來。例如,一些研究以古典著作為輸入,甚至以…為輸入。從哲學、歷史、政治學和經濟學等領域汲取靈感,建構出一個用於分析和重構的綜合語言模型。研究發現,該模型能夠全面分析所有學者的觀點,並提出自身的“洞見”,同時又不失原創性。因此,有人提出,通用人工智慧(AGI)也可用於重新分析和詮釋戰爭理論,從而激發人類創新,推動戰爭理論及其體系的重大演進和重構。理論上,這或許確實能夠帶來一些改進和發展,但戰爭科學不僅是理論性的,也是實踐性的,而實踐性和現實性從根本上來說超出了AGI的能力範圍。經典戰爭理論真的可以被重新詮釋嗎?如果可以,那麼該理論的意義何在?

簡而言之,AGI對戰爭概念的顛覆性影響將遠遠超越「機械化」和「資訊化」。我們必須大膽擁抱AGI,但也要保持謹慎。理解概念可以避免無知;深入研究可以避免落後;加強監督可以避免監督的缺失。如何與通用人工智慧(AGI)合作,並防範對手利用AGI發動的技術突襲,是我們未來面臨的首要問題。 (榮明,胡曉峰)

後記

以開放的心態展望未來

未來學家羅伊·阿馬拉曾提出一個著名的論點:人們往往高估一項技術的短期收益,而低估其長期影響,這一原則被稱為「阿馬拉定律」。該定律強調了技術發展的非線性特徵,這意味著技術的實際影響往往需要更長的時間才能完全顯現。它反映了技術發展的脈動和趨勢,反映了人類對科技的接受度和期望。

目前,在人工智慧從弱人工智慧向強人工智慧、從專用人工智慧發展到通用人工智慧的過程中,每當人們認為自己已經完成了90%的工作時,回頭來看,他們可能只完成了不到10%。科技革命在軍事革命中的驅動作用日益凸顯,尤其是在人工智慧(AI)等高科技以多種方式滲透軍事領域,深刻改變戰爭的機制、要素和製勝方法的情況下。

在可預見的未來,通用人工智慧(AGI)等智慧技術將不斷迭代,智慧技術的交叉演進及其在軍事領域的賦能應用將日益多元化,甚至可能超越人類目前對戰爭的認知邊界。技術發展勢不可擋,無人能阻擋。誰能以敏銳的洞察力和清晰的思維洞察技術的趨勢和未來,認識到其潛力和力量,並撥開“戰爭迷霧”,誰就更有可能搶佔先機,取得優勢。

這提醒我們,探索未來戰爭形態需要更廣闊的視野和更細緻的思考,才能更接近被低估的現實。通用人工智慧將走向何方?智慧戰爭將走向何方?這些問題考驗的是人類的智慧。 (葉朝陽)

中國原創軍事資源:https://www.news.cn/milpro/20250121/18eb7781b268d26489286b08c2d23d12084f0f/c.html

A Look at Chinese Intelligent Warfare | Machine Thinking: The Key to Victory in Military Intelligent Warfare

中國情報戰概覽 | 機器思維:軍事情報戰取勝的關鍵

現代英語:

Editor’s Note

In the 1950s, scientist Alan Turing first proposed the concept of “machine thinking.” With the advent of the intelligent era, the idea that machines can also possess “thinking” is gradually becoming a reality. In intelligent warfare, driven by machine thinking, some unmanned equipment and decision-making aids become “robot allies” and “intelligent advisors” fighting alongside humans. It is foreseeable that the relationship between humans and weapons will gradually shift from that of humans and tools to that of humans and intelligent partners with “limited subjective initiative.” A deep understanding and skillful application of machine thinking as a key will help people recognize the characteristics of intelligent warfare and seize the initiative in it.

In recent years, next-generation artificial intelligence technologies, represented by deep learning, have made groundbreaking progress, surpassing humans in many fields such as Go, speech recognition, and translation. More and more people are beginning to realize that the human brain is merely a highly advanced general-purpose intelligent agent; human intelligence is not the only form of intelligence in the world, nor is it the ultimate form of intelligence. Human society is entering an era of intelligent coexistence between humans and machines. All preparations for intelligent warfare, including exploring the mechanisms for winning intelligent warfare, developing intelligent weapons and equipment, developing intelligent combat forces, and innovating intelligent combat methods, should be based on a thorough understanding of how intelligent machines “think.”

Machine thinking is developing rapidly

From mechanical technology to information technology and then to artificial intelligence, technological development has progressed from simulating human limb functions, sensory functions, neural functions, and finally cognitive functions, gradually replacing, expanding, and amplifying various human abilities, progressing from simple to complex and from low to high levels. As a replacement for the human brain, the most complex organ in the human body, artificial intelligence must possess “thinking” abilities similar to those of the human brain in solving complex problems; we can call this “machine thinking.”

The new generation of artificial intelligence systems based on deep learning can be viewed as a “gray box” compared to the previous generation, with its “thinking” process and results exhibiting significant uncertainty and inexplicability. While people hope it can be explained, from another perspective, it is precisely this uncertainty and inexplicability that generates creativity and constitutes the true “source of wisdom.” Higher forms of human thought, besides logical reasoning, such as intuition, imagination, inspiration, and sudden insight, all possess a high degree of uncertainty and can only be understood intuitively, not explained in words. Just as the art of command in the military, where “the subtlety of application lies in the mind,” is difficult to explain.

Therefore, the uncertainty and inexplicability exhibited by machine thinking may precisely be the advanced and unique aspect of this breakthrough in artificial intelligence. No matter how fast a supercomputer or quantum computer is, or how powerful its computational intelligence is, because its computational principles are transparent and interpretable, its computational rules are pre-designed and deterministic, and its computational process is reversible and repeatable, people do not consider it creative or a challenge to human thinking abilities.

This breakthrough in artificial intelligence has significantly improved the “intelligence” of intelligent machines, with machine thinking demonstrating unique advantages in many fields that differ from and surpass human thinking. For example, after AlphaGo defeated the human world Go champion, some believed it was closer to the god of Go, creating a completely new school of Go like the “cosmic style,” and some Go players even began to learn from AlphaGo’s playing style. Furthermore, generative AI like ChatGPT, which has become incredibly popular in the last two years, already possesses a certain degree of creativity and human-like “subjective initiative,” enabling it to replace humans in many tasks.

Machine thinking is different from human thinking.

Currently, although artificial intelligence has made groundbreaking progress, it is still in the development stage of perceptual intelligence, weak AI, and specialized AI. Compared with human thinking, machine thinking still has obvious shortcomings. Experts have summarized its deficiencies into four points: First, it “has intelligence but lacks wisdom,” lacking intuition, inspiration, and other implicit human thinking abilities. Einstein once said that raising a question is often more important than solving a problem. ChatGPT is far better than the average person at answering questions, but it cannot raise a truly valuable scientific question. Second, it “has IQ but lacks EQ.” Intelligent machines themselves do not have, and find it difficult to, simulate human emotions such as anger, sadness, and joy, and therefore cannot truly understand these human emotions. Third, they are “good at calculation but not at scheming.” Although intelligent machines “think” very quickly, they are not good at taking roundabout ways or retreating to advance. They cannot pretend, deceive, or use tricks like humans. Fourth, they are “good at specialization but not generalization.” Intelligent machines have poor “learning by analogy,” that is, their ability to transfer learning is very poor. Although specialized artificial intelligence software can surpass human champions in Go, the “intelligence” of the most advanced general-purpose brain-like chips can only approach the level of a mouse brain.

Although machine thinking was created and designed by humans, it differs significantly from human thinking. There’s a Moraviek paradox in the field of artificial intelligence: for AI, achieving complex logical reasoning and other high-level human cognitive abilities requires minimal computation, while achieving unconscious skills like perception and movement, and simpler cognitive abilities like intuition, demands enormous computational power. AI can outperform humans in playing Go and solving equations, but tasks easy for humans, like driving a car or folding clothes, are very difficult for AI. Experts have outlined what AI currently cannot do, including: cross-domain reasoning, abstract thinking, self-awareness, aesthetics, and emotion. These are not difficult for humans, but are very challenging for AI.

Based on the differences between machine thinking and human thinking, in intelligent warfare, on the one hand, traditional strategies that work for humans, such as feints and diversions, are likely to be easily detected by machine thinking; the massive amounts of battlefield data, far exceeding the analytical processing capabilities of the human brain, will become the “thinking” material for machine thinking, allowing it to find clues about enemy actions and important targets. On the other hand, machine thinking also has some major flaws that seem utterly “idiotic” to humans. Foreign research teams have discovered that by changing just a few key pixels in a picture of a cat, an intelligent machine can identify the cat as a dog, while the human eye will not misidentify it due to this change. This illustrates a significant difference between deceiving humans and deceiving intelligent machines. The “calculations” used to deceive humans may be useless against the “calculations” of intelligent machines. Conversely, deception methods targeting machine thinking are very easy to use to fool intelligent machines, but may not be able to fool humans. With the deep application of artificial intelligence in intelligence analysis, further research is needed on how strategic deception is organized, how battlefield feints are implemented, how to deceive both human and computer brains, how to attack the weaknesses of adversary intelligent machines, and how to prevent one’s own intelligent machines from being deceived.

All of the above facts show that the complexity problems faced by humans and machines may be exactly opposite. Humans and machines each have their own advantages and disadvantages and are highly complementary. Through human-machine collaboration, humans can be responsible for judging whether they are “doing the right thing” while machines “do things correctly”.

Create machine thinking based on machine characteristics

The carrier of machine thinking is silicon-based chips, but it is not endogenous; rather, it is created by humans using innovative thinking. The level of human creators’ thinking determines the level of machine thinking. A key point to grasp in creating machine thinking is that it cannot be simply copied from human thinking methods based on carbon-based intelligence. Instead, it should be created according to the characteristics of silicon-based machines in terms of perception, judgment, decision-making, and action.

For example, how do cars pass through intersections? For manned vehicles, a complete set of mature rules has been established to avoid congestion and traffic accidents. But how can autonomous vehicles pass through without collisions? There are at least three solutions. First, the autonomous vehicle stops at the intersection and uses its onboard camera to mimic human eyes, automatically recognizing and judging traffic light changes, and only proceeding when the light turns green. Second, a signal generator is installed on the traffic light pole; when the green light is on, it directly emits a signal indicating passage, which the autonomous vehicle receives before proceeding. Third, traffic lights are eliminated; the autonomous vehicle uses sensors such as lidar, cameras, and millimeter-wave radar to detect passing vehicles at the intersection, employing collision avoidance algorithms and vehicle-to-vehicle cooperation to pass quickly and without interruption. The first approach is to design the driving method of autonomous vehicles according to human driving thinking and behavioral habits. The second approach is an improvement on the first approach. The third approach completely subverts the traditional mode of human vehicles relying on traffic lights and passing through intersections in a “stop-wait-go” manner, which greatly improves traffic efficiency and is equivalent to giving autonomous vehicles a machine thinking that truly suits their own characteristics.

Massively creating machine thinking to seize intelligent advantage

Machine thinking is essentially algorithmic thinking, digital thinking, and precision thinking. In intelligent warfare, in order to make one’s own intelligent machines “smarter” than the opponent’s and to seek to overwhelm the opponent’s intelligent advantage, we should create a large number of different types of high-level machine thinking and greatly improve the ability of intelligent machines to adapt to changing battlefield environments and solve complex combat problems.

For example, creating machine thinking that enables unmanned swarms to collectively understand the battlefield situation. A fundamental prerequisite for efficient collaborative operations between combat units is a shared understanding of the battlefield situation. For humans, the most intuitive and effective method is based on a unified battlefield situation map. However, this approach is unsuitable for collaborative operations between unmanned platforms within a swarm. This is because using visual diagrams as a medium for machine-to-machine communication is inefficient, and it is difficult for unmanned platforms to directly extract useful information from battlefield situation maps. Therefore, a dedicated battlefield situation sharing mechanism adapted to machine-to-machine communication is needed. For instance, leveraging the fact that intelligent machines are more efficient at “counting” than “viewing images,” the unmanned swarm can use software to create a virtual “bulletin board,” i.e., a shared data file. In collaborative operations, each drone platform promptly publishes its own location and status, as well as the nature, location, and environmental information of targets detected by its sensors, to the “bulletin board.” All drone platforms in the cluster can quickly read this shared data file to obtain near-real-time information on the enemy, ourselves, and the environment, thereby achieving a shared understanding of the battlefield situation.

Another example is the development of machine thinking for integrated offensive and defensive warfare using unmanned platforms. The basic principle of warfare, “eliminate the enemy, preserve yourself,” is easily understood by human soldiers, but enabling unmanned platforms to correctly balance avoiding enemy threats and engaging enemy targets requires a different approach. Utilizing artificial potential field algorithms might be one solution. Unmanned platforms could construct a repulsive potential field around targets that pose a threat, with stronger repulsion due to greater threat; and a gravitational potential field around targets intended for attack, with stronger attraction due to higher target value. Under the combined influence of these gravitational and repulsive potential fields, the unmanned system automatically generates the optimal attack path, thus maximizing the achievement of both eliminating the enemy and preserving itself.

現代國語:

編按

在1950年代,科學家艾倫·圖靈首次提出了「機器思維」的概念。隨著智慧時代的到來,機器也能擁有「思維」的概念逐漸成為現實。在由機器思維驅動的智慧戰爭中,一些無人裝備和決策輔助工具正成為與人類並肩作戰的「機器人盟友」和「智慧顧問」。可以預見,人與武器的關係將逐漸從人與工具的關係轉變為人與擁有「有限主觀主動性」的智慧夥伴的關係。深入理解並巧妙運用機器思維是關鍵,有助於人們認識智慧戰爭的特點,並在其中掌握主動權。

近年來,以深度學習為代表的新一代人工智慧技術取得了突破性進展,在圍棋、語音辨識、翻譯等諸多領域超越了人類。越來越多的人開始意識到,人腦只不過是一個高度發展的通用智能體;人類智能並非世間唯一的智能形式,也並非智能的終極形式。人類社會正步入人機智慧共存的時代。一切智慧戰爭的準備工作,包括探索智慧戰爭的致勝機制、研發智慧武器裝備、發展智慧作戰力量以及創新智慧作戰方法,都應建立在對智慧機器「思考」方式的透徹理解之上。

機器思維正在快速發展

從機械技術到資訊技術,再到人工智慧,技術發展經歷了從模擬人體肢體功能、感覺功能、神經功能,最終到認知功能的演進,逐步取代、擴展和增強了人類的各種能力,由簡到繁、由低到高不斷演進。作為人體最複雜器官——人腦的替代品,人工智慧必須具備與人腦類似的「思考」能力,能夠解決複雜問題;我們可以稱之為「機器思維」。

與上一代人工智慧系統相比,基於深度學習的新一代人工智慧系統可以被視為一個“灰箱”,其“思考”過程和結果都展現出顯著的不確定性和不可解釋性。人們雖然希望能夠解釋這些過程,但從另一個角度來看,正是這種不確定性和不可解釋性激發了創造力,構成了真正的「智慧之源」。除了邏輯推理之外,更高層次的人類思維,例如直覺、想像、靈感和頓悟,都具有高度的不確定性,只能透過直覺來理解,而無法用語言來解釋。正如軍事指揮的藝術一樣,“運用之妙在於心智”,難以言表。

因此,機器思維所展現出的不確定性和不可解釋性,或許正是人工智慧這項突破的先進之處與獨特之處。無論超級電腦或量子電腦的速度有多快,計算智慧有多強大,由於其計算原理透明且可解釋,計算規則預先設計且具有確定性,計算過程可逆且可重複,人們並不認為它具有創造性,也不認為它對人類思維能力構成挑戰。

人工智慧的這一突破顯著提升了智慧機器的“智慧”,機器思維在許多領域展現出與人類思維截然不同甚至超越人類思維的獨特優勢。例如,AlphaGo擊敗人類圍棋世界冠軍後,有些人認為它更接近圍棋之神,開創了「宇宙流」等全新圍棋流派,甚至有圍棋選手開始學習AlphaGo的棋風。此外,像ChatGPT這樣在過去兩年迅速走紅的生成式人工智慧,已經具備一定程度的創造力和類似人類的“主觀主動性”,使其能夠在許多任務中取代人類。

機器思維與人類思維截然不同。

目前,人工智慧雖然取得了突破性進展,但仍處於感知智慧、弱人工智慧和專業人工智慧的發展階段。與人類思維相比,機器思維仍有明顯的缺點。專家將其缺陷歸納為四點:首先,它“有智能但缺乏智慧”,缺乏直覺、靈感等人類固有的思維能力。愛因斯坦曾說過,提出問題往往比解決問題重要。 ChatGPT在回答問題上遠勝於一般人,但它無法提出真正有價值的科學問題。其次,它「有智商,但缺乏情商」。智慧機器本身並不具備,也很難模擬人類的情感,例如憤怒、悲傷和喜悅,因此無法真正理解這些人類情感。第三,它們「擅長計算,但不擅長規劃」。雖然智慧機器「思考」速度很快,但它們不擅長迂迴策略或退守後再前進。它們無法像人類那樣偽裝、欺騙或使用詭計。第四,它們「擅長專業化,但不擅長泛化」。智慧機器的「類比學習」能力很差,也就是說,它們的學習遷移能力非常弱。雖然專業的AI軟體可以在圍棋領域超越人類冠軍,但最先進的通用類腦晶片的「智慧」水平也只能接近小鼠大腦的水平。

儘管機器思維是由人類創造和設計的,但它與人類思維有顯著差異。人工智慧領域存在著一個莫拉維克悖論:對於人工智慧而言,實現複雜的邏輯推理和其他高級人類認知能力所需的計算量極少,而實現諸如感知和運動等無意識技能以及諸如直覺等更簡單的認知能力卻需要巨大的計算能力。人工智慧在圍棋和解方程式方面可以超越人類,但對人類來說輕而易舉的任務,例如開車或疊衣服,對人工智慧來說卻非常困難。專家們已經列出了人工智慧目前無法完成的任務,包括:跨領域推理、抽象思考、自我意識、美學和情感。這些對人類來說並不難,但對人工智慧來說卻極具挑戰性。

基於機器思維和人類思維的差異,在智慧戰爭中,一方面,對人類有效的傳統策略,例如佯攻和佯攻,很可能被機器思維輕易識破;另一方面,海量的戰場數據遠遠超過人腦的分析處理能力,將成為機器思維的「思考」素材,使其能夠從中發現敵方行動和重要目標的線索。另一方面,機器思維也存在著一些在人類看來極為「愚蠢」的重大缺陷。國外研究團隊發現,只要改變貓咪的圖片中幾個關鍵像素,智慧機器就能將貓辨識為狗,人眼卻不會因此而誤判。這說明欺騙人類和欺騙智慧機器之間存在顯著差異。用來欺騙人類的「計算」可能對智慧機器的「計算」毫無作用。反之,針對機器思維的欺騙方法很容易就能欺騙智慧機器,但卻可能無法欺騙人類。隨著人工智慧在情報分析領域的深度應用,我們需要進一步研究戰略欺騙的組織方式、戰場佯攻的實施方法、如何同時欺騙人類和電腦的大腦、如何攻擊敵方智慧機器的弱點以及如何防止己方智慧機器被欺騙。

以上種種事實表明,人類和機器面臨的複雜性問題可能截然相反。人類和機器各有優劣,高度互補。透過人機協作,人類負責判斷自己“是否在做正確的事”,而機器則負責“正確地做事”。

基於機器特性創造機器思維

機器思維的載體是矽晶片,但它並非內生的,而是由人類運用創新思維創造出來的。人類創造者的思維層次決定了機器思維的層次。創造機器思維的關鍵在於,它不能簡單地複製基於碳基智能的人類思維方式,而應該根據矽基機器在感知、判斷、決策和行動等方面的特性來創造。

例如,汽車如何通過十字路口?對於有人駕駛的車輛,已經建立了一套完整的成熟規則來避免擁擠和交通事故。但是,自動駕駛車輛如何才能無碰撞地通過十字路口呢?至少有三種解決方案。首先,自動駕駛車輛在十字路口停車,利用車載攝影機模擬人眼,自動辨識並判斷交通號誌的變化,僅在綠燈亮起時才通行。其次,在交通號誌桿上安裝號誌產生器;當綠燈亮起時,它直接發出通行訊號,自動駕駛車輛接收到該號誌後再通行。第三,取消交通號誌;自動駕駛車輛使用光達、攝影機和毫米波接收器等感測器進行通訊。ADA 系統用於偵測十字路口的過往車輛,利用防碰撞演算法和車對車協作實現快速無間斷通行。第一種方法是根據人類駕駛的思考和行為習慣來設計自動駕駛車輛的駕駛方式。第二種方法是對第一種方法的改進。第三種方法徹底顛覆了人類車輛依賴交通號誌、以「停-停-走」方式通過十字路口的傳統模式,大大提高了交通效率,相當於賦予自動駕駛車輛真正符合自身特性的機器思維。

大規模建構機器思維,奪取智慧優勢

機器思維本質上是演算法思維、數位思維和精確思維。在智慧戰爭中,為了使己方智慧機器比敵方更“聰明”,並力求壓倒敵方的智慧優勢,我們應該構建大量不同類型的高級機器思維,並大幅提升智慧機器適應不斷變化的戰場環境和解決複雜作戰問題的能力。

例如,創造一種機器思維,使無人集群能夠集體理解戰場態勢。作戰單位間高效率協同作戰的基本前提是對戰場態勢的共同理解。對人類而言,最直觀有效的方法是基於統一的戰場態勢圖。然而,這種方法並不適用於集群內無人平台之間的協同作戰。這是因為使用視覺化圖表作為機器間通訊的媒介效率低下,無人平台難以直接從戰場態勢圖中提取有用資訊。因此,需要一種專門針對機器間通訊的戰場態勢共享機制。例如,利用智慧機器更擅長“計數”而非“查看圖像”的特性,無人集群可以使用軟體創建一個虛擬的“公告板”,即共享資料檔案。在協同作戰中,每個無人機平台都會及時將自身位置和狀態,以及其感測器探測到的目標的性質、位置和環境資訊發佈到「公告板」上。集群中的所有無人機平台都能快速讀取共享數據文件,獲取近乎實時的敵我信息以及周圍環境信息,從而實現對戰場態勢的共同理解。

另一個例子是利用無人平台發展機器思維,以進行攻防一體化作戰。戰爭的基本原則「消滅敵人,保全自身」對人類士兵來說很容易理解,但要使無人平台能夠正確地平衡規避敵方威脅和攻擊敵方目標,則需要不同的方法。利用人工勢場演算法或許是一種解決方案。無人平台可以在構成威脅的目標周圍建構排斥位勢場,威脅越大,排斥力越強;在攻擊目標周圍建構重力位勢場,目標價值越高,引力越強。在這些重力位能場和排斥位勢場的共同作用下,無人系統能夠自動生成最佳攻擊路徑,從而最大限度地實現消滅敵人和保全自身的目標。

來源:中國軍網-解放軍報 作者:袁 藝 責任編輯:尚曉敏 發布:2024-02-27 06:xx:xx

袁  藝

中國原創軍事資源:http://www.81.cn/ll_208543/1868289808681.html

Chinese Military Reflections on the Application of AI in Human-Machine Integrated Combat

中國軍方對人工智慧在人機一體化作戰中應用的思考

現代英語:

The principle of training troops to fight future battles is a fundamental tenet of military strategy throughout history. An army that does not study and predict warfare is a foolish army, destined to fail when war strikes.

To date, there have been four major military transformations in the world: the first was the shift from primarily using wooden and stone weapons to primarily using metal weapons; the second was the shift from primarily using cold weapons (metal weapons) to primarily using firearms (gunpowder weapons); the third was the shift from firearms to mechanized weapons; and the fourth occurred after the 1990 Gulf War, when warfare shifted from primarily using mechanized weapons to primarily using precision-guided weapons, driving the transformation of military development from mechanization to informatization.

The fourth military revolution, also known as the new military revolution by academics, involves the world’s major military powers engaging in comprehensive competition in areas such as information technology, network technology, precision-guided technology, aerospace technology, new energy technology, biotechnology, and stealth technology. This competition has now culminated in the pursuit of advantages in big data, cloud computing, and intelligent robots, aiming to create real-life versions of “Iron Man,” “Batman,” and “Terminator.” The revolution is actively promoting the transformation of military construction from informatization and networking to intelligentization and unmanned aerial vehicle (UAV) deployment. The military is developing towards a lean, small, efficient, intelligent, and integrated “human-machine (robot/UAV)” model, seeking to enable robot soldiers, UAVs, and human soldiers to fight together.

According to statistics, the militaries of more than 60 countries worldwide have already equipped themselves with military robots, encompassing over 150 different types. It is projected that by 2040, half of the world’s major military powers may be comprised of robots. In addition to the US, Russia, the UK, France, Japan, Israel, Turkey, and Iran, which have already launched their own robot warriors and drones, other countries are also investing in the research and development of unmanned weapons, which will inevitably give rise to unmanned combat forces.

The term “unmanned combat force” is a general term for combat robots or battlefield killing robot systems. With the development of various information-based, precision-based, and data-driven weapons and equipment, intelligent platforms have become the driving force for pre-designed battlefields, combat robots have become the main force on the battlefield, and the combination of “human and machine” confrontation has become the key to defeating the enemy. In the future, the battlefield space forces will highlight the development trend of three-dimensional unmanned operation and human-machine integration across land, sea, and air.

In combat command and control, AI can automatically and rapidly generate combat plans. War is fought, but it is also designed. With the emergence of various information-based, precision, and intelligent weapons and equipment, and the widespread application of artificial intelligence, big data, and 5G networks, the future battlefield will essentially achieve integrated “human-machine” collaborative combat, inevitably revolutionizing traditional combat methods. Intelligent platforms, leveraging the advantages of big data, will become the behind-the-scenes directors of pre-designed battlefields, providing more accurate predictions and technical parameters, making future battlefield design more precise and efficient. Using AI technology, by inputting elements such as the deployment of enemy and friendly forces, equipment performance, personnel numbers, and battlefield environment into the combat command information system template, AI-based combat plans can be quickly generated for commanders’ operational decision-making. If commanders feel something is amiss and want to fight a battle they are confident of winning, they can also use intelligent simulated combat laboratories, employing artificial intelligence, big data, 5G networks, and simulation equipment and materials, to simulate the technical performance of enemy and friendly weapons and equipment, battlefield conditions, personnel quality, and combat actions, to test and refine the scientific and rational nature of the war design scheme, striving to find the optimal combat plan. 5G’s massive machine-to-machine communication capabilities can be combined with artificial intelligence to accelerate the comprehensive analysis and systematic research of combat effectiveness elements and combat processes using new intelligent algorithms, and to quickly derive combat capability assessment indices. This provides technical means for the large-scale use of unmanned weapons.

AI-generated combat plans differ from traditional automated combat command systems, though they share some similarities, they also have fundamental differences. In a sense, both are automated systems, but combat command automation, by inputting various combat elements, aims to output combat command decisions—these are essentially fixed. AI-generated combat plans, however, are different. The input combat elements can be fixed or variable, but the output is invariably unpredictable, almost entirely unpredictable. For example, even with the same total number of elements and parameters, different input orders will generate different results, potentially producing unexpected outcomes—this is the essence of artificial intelligence.

In terms of surprise in warfare, the coordinated operations of drones or manned aircraft have ushered in a new era. Night warfare, whether in the past or modern, has been a more effective way to achieve tactical and operational surprise. Today, night warfare is even more favored by informationized and intelligent armies. At night and in the early morning, people are in a state of sleep or semi-awakeness, and are relatively tired or complacent. Therefore, launching a war at this time makes it easier to achieve surprise. In the Kosovo War, the US launched its airstrikes at 8 PM. In the Afghan War, the US launched its airstrikes late at night. In the Iraq War, after launching its airstrikes at 5:36 AM, the US extensively used various means, including space reconnaissance satellites, aerial reconnaissance aircraft, and ground reconnaissance, to build a comprehensive information reconnaissance network system covering the air, space, and ground, firmly controlling “information superiority” and ensuring the smooth conduct of air strikes and nighttime ground military operations. With the development of night vision equipment and the increasing sophistication of night warfare methods, night and early morning have become common means of achieving surprise in air strikes. Seizing the favorable opportunities of darkness and early morning to launch surprise air strikes is the spark that will ignite future wars. Before the outbreak of future wars, unmanned reconnaissance aircraft will cooperate with manned high-altitude reconnaissance aircraft and space satellites to conduct reconnaissance of enemy forward and deep-space targets. In particular, once a drone detects a target, it can quickly transmit image information such as the target’s location and size to its own command center, drone operator, or manned aircraft pilot for decision-making reference and to issue long-range strike orders. During the Gulf War, multinational forces deployed drones to conduct day and night reconnaissance over Iraqi front-line positions, providing real-time images and guiding ground troops to destroy Iraqi positions. During the conflict between Armenia and Azerbaijan last year, Armenian media released a video showing the Armenian army using the Seahawk-10 drone to guide ground artillery attacks on Azerbaijani infantry units. In the video, the Armenian army’s Seahawk-10 drone transmitted information about a group of soldiers advancing in skirmish lines detected at high altitude to the drone operator. After several zoom-in confirmations, the drone operator used the drone to collect data on the target and transmit it to the artillery at the rear. After receiving the target coordinates, the Armenian artillery first conducted multiple single-shot test firings. The Seahawk-10 UAV then conducted real-time assessments of the test firing results in the air and promptly adjusted the target coordinate parameters to transmit to the Armenian artillery for concentrated and precise firing.

In future wars, drones are poised to replace conventional fighter jets, becoming one of the mainstays of aerial warfare. Their ability to execute precise, real-time strikes will revolutionize the traditional manned aircraft-based surprise attack methods employed in the dark or early morning. Currently, the UK is developing a new high-tech unmanned stealth fighter with stealth capabilities. It can test and drop munitions over multiple targets and defend itself against attacks from other manned and unmanned aircraft. Even without ground command, it can communicate with command centers via satellite and operate autonomously, executing precision strikes against long-range targets. Thus, drones, as a rapidly emerging force, have evolved from “reconnaissance and support” to “offensive protagonists.” They not only effectively supplement satellite reconnaissance but also perform diverse combat missions such as long-range reconnaissance, border patrol, target identification, electromagnetic interference, supply delivery, precision strikes, autonomous strikes, integrated reconnaissance and strike operations, and damage assessment. They are destined to become the vanguard in future wars.

On the land battlefield, unmanned tanks, unmanned armored vehicles, and combat robots are charging to the front lines, forming mixed formations with ground soldiers to fight collaboratively. To execute battlefield missions more efficiently and reduce casualties, future battlefields may see a large number of unmanned vehicles such as tanks, armored vehicles, and logistics transport vehicles. Leveraging the high speed, low latency, and interconnectivity of 5G networks, these vehicles can autonomously traverse various complex terrains and obstacles without human intervention, making instantaneous decisions to effectively ensure safety and reliability. Land robots can not only perform offensive and defensive combat missions but also deliver ammunition, medical supplies, and food, conduct patrols, and carry out reconnaissance and surveillance. Unmanned tanks allow soldiers to remotely control them, automatically load ammunition, and autonomously conduct indirect precision strikes. In 2019, Russia tested a robotic system called “Wooden Boat” to unify the command of several military robots. The Russian military and robotics research institutions also conducted collaborative exercises with newly developed combat robots, achieving good results and summarizing training methods in practice. According to Russian media reports, Russia is preparing to establish a combat robot force, a completely new type of military unit. These robots can achieve maximum automation, requiring minimal human intervention and essentially completing battlefield combat missions independently. Russian military-industrial complexes will begin developing the “Comrade” and “Assault” robot systems, composed of medium and heavy robots respectively, starting in 2020. They are currently working to improve the performance of some robots to better enable them to perform tasks in urban and coastal environments. In August 2015, on the Syrian battlefield, in addition to deploying traditional combat forces, the Russian military deployed for the first time a fully-fledged robot combat company, primarily composed of unmanned combat platforms, to conduct positional assault operations. Employing a new combat model of mixed manned and unmanned formations, they captured a high ground that Russian soldiers would find difficult to conquer in just 20 minutes, achieving a victory with zero casualties and 77 enemy kills. On April 21, 2018, the Russian Federal Security Service (FSB) special forces launched a raid against extremist terrorist groups, publicly deploying armed unmanned combat vehicles equipped with machine guns as the vanguard for the first time. Following large-scale testing of combat robots at an event called “Autonomous Warrior 2018,” the British Army has unified drones, unmanned vehicles, and combat personnel as a common practice for world-class militaries in the coming decades. The US Army, having formally established unmanned platoons, plans to form unmanned combat brigades and has already developed a standardized set of hardware and software. Once installed on vehicles, these can be remotely controlled, even semi-autonomously, automatically following predetermined routes or choosing the smoothest, most direct path, or driven by a human driver. One emerging project, the “optional manned tank,” aims to propel the Army into a new generation of joint operations. It may be capable of firing lasers, controlling drones, high-speed maneuvering, destroying enemy helicopters, penetrating enemy armored formations, and performing highly lethal robotic combat missions against enemy fire. The US Army has also made rapid progress in manned-unmanned combined arms operations. This means that robotic systems will increasingly operate with greater autonomy, while still being commanded and controlled by human decision-makers. Robotic vehicles deployed at the front lines can directly attack enemy mechanized formations at close range, launch weapons, perform high-risk surveillance missions, and deliver munitions when necessary. The U.S. Marine Corps tested its unmanned combat vehicle, nicknamed “Hunter Wolf,” in Arizona. Equipped with a 30mm M230LF “short-barreled” chain gun, the vehicle conducted a rapid-fire live-fire demonstration, achieving a perfect 6-for-6 hit. The “Hunter Wolf” is 2.3 meters long, 1.4 meters wide, and 1.17 meters high, weighing only 1.1 tons, yet capable of carrying a 450-kilogram modular combat payload. It uses a hybrid electric system, offering a maximum range of 100 kilometers without refueling, a top speed of 32 kilometers per hour, a maximum endurance of 72 hours, and the ability to climb slopes with a gradient of 30 degrees.

In the naval battlefield, unmanned ghost fleets, composed of unmanned surface and underwater vessels, are mixed with manned fleets and operate in coordinated formations. Since the 1990s, the increasing application of artificial intelligence and big data in the military field has ushered in a true golden age for unmanned surface and underwater vessels, giving rise to underwater robots (AUVs) and surface robots (ASVs). Various unmanned submarines and unmanned underwater vehicles perform a variety of tasks such as underwater search, reconnaissance, and mine clearance. Unmanned warships can travel thousands of miles and perform various maritime combat missions without onboard personnel. After the Iraq War in 2003, countries around the world saw the great potential and broad prospects of unmanned marine systems, which also reduce manpower and improve combat effectiveness, thus initiating a competition to build unmanned ghost fleets. Israel, as a country that places particular emphasis on reducing soldier casualties, took the lead in launching the development of modern “Protector” unmanned surface vessels, which are used to patrol the Lebanese coast and monitor Hezbollah activities and deployments. France and Russia already possess manned submersible research vessels capable of diving to depths of 6,000 meters. Japan has proposed a concept for the “Shinkai 12000,” a new manned submersible research vessel capable of diving to the world’s deepest point. Following its “Future Maritime Aviation Acceleration Day” event, the UK continues to develop a “plug-and-play” autonomous maritime platform development system. This system, once integrated into Royal Navy vessels, will simplify the acquisition and use of automation and unmanned technologies.

In the aerial battlefield, drones and manned aircraft are mixed in formation and cooperate in combat. In 2019, approximately 30 countries worldwide had developed over 50 types of drones, and more than 50 countries had deployed drones. The main types include: cryptographic drones, multi-functional drones, AI-powered drones, long-endurance drones, anti-missile drones, early warning drones, stealth drones, micro drones, air combat drones, mapping drones, aerial photography drones, armed drones, and drone wingmen. With the widespread application of advanced technologies such as artificial intelligence and big data in the military field, the performance of equipment on drones is constantly improving. They will integrate multiple functions such as reconnaissance, fire correction, surveillance, battle result assessment, target identification, attack guidance, radio relay, and ground attack. They can conduct electronic jamming and deception at long distances from the enemy, and can also autonomously attack important ground targets when necessary. The future aerial battlefield will essentially realize unmanned or human-machine (drone) cooperative air strikes, or autonomous drone air strikes, which will inevitably revolutionize traditional air combat methods. In the future, fighter pilots will control unmanned attack aircraft or bombers from their cockpits to evade enemy air defense systems, while offensive forces will receive real-time intelligence data more quickly—all thanks to the rapid advancements in artificial intelligence technology. In future air strikes, swarms of drones will swarm in, using sophisticated instruments for detection, reconnaissance, and counter-reconnaissance. Once they lock onto targets, they will calmly launch missiles, possessing integrated reconnaissance and strike capabilities, autonomous attack, and human-machine collaborative strike capabilities. The Russian Aerospace Forces will equip themselves with heavy attack drones capable of maneuvering around enemy air defense systems without command, autonomously searching for and striking the most important targets, and then retreating safely back to base. This aircraft will be equipped with artificial intelligence components and can be remotely controlled by Su-57 fighter jets. According to RIA Novosti, the Russian S-70 “Hunter” heavy attack drone can attack targets according to instructions issued from Su-57 stealth fighter jets. Currently, the control station where the “Hunter” ground operators are located is equipped with joysticks, keyboards, and several multi-function LCD screens, similar to those used in manned fighter jets. These screens display various information transmitted from the “Hunter’s” onboard systems and sensors. In the near future, this ground-based remote control equipment may achieve full automation. The S-70 “Hunter” UAV, developed by the Sukhoi Design Bureau, is designed and manufactured based on a flying wing aerodynamic layout. According to public information, the “Hunter” is 14 meters long, has a wingspan of 19 meters, and a takeoff weight of 20 tons. The “Hunter” has a maximum speed of 1000 kilometers per hour and uses stealth materials to reduce its radar cross-section (detection signal). The “Hunter’s” first flight was on August 3, 2019. Reportedly, as part of the flight test program, the first prototype of the “Hunter” has begun weapons testing: including test flights with a functional simulator carrying air-to-air missiles, and bombing ground targets at the Ashuluk test range. Currently, the Novosibirsk Chkalov Aircraft Plant is building three more “Hunter” UAV prototypes. Russia has completed combat formation flights of its multi-role fifth-generation Su-57 fighter jets and heavy “Hunter” reconnaissance and combat drones. These drones will be organized into multiple air regiments, likely joining Su-57 air regiments. The plan is for 2-3 Su-57 squadrons to each have a drone squadron, operating together and employing new strategies and artificial intelligence elements. The UK also plans to enable a single manned aircraft to simultaneously command five drones, while France plans to achieve mixed formation operations of Rafale fighter jets and Neuron drones.

The use of drones for military reconnaissance began in the 1960s and has been widely applied in various wars. During the Vietnam War, the US military deployed over 3,000 drone sorties for reconnaissance, with over 1,000 failing to return safely and disappearing without a trace. In the Gulf War, multinational forces deployed drones day and night to reconnoiter Iraqi frontline positions, providing real-time imagery and guiding ground troops to destroy Iraqi positions. In the Bosnian War, the US military used Predator drones to monitor the withdrawal of Serbian heavy weapons from Sarajevo and provided a wealth of target data for aircraft participating in airstrikes. In the Kosovo War, the US military deployed over 100 drones for battlefield reconnaissance and surveillance, contributing significantly to the 78-day air campaign. In the US operations against the Taliban, the US military used unmanned attack aircraft, carrying weapons, for the first time in actual combat. On September 14, 2019, after an attack on a Saudi Aramco oil company’s “world’s largest oil processing facility” and oil field, the Houthi rebels in Yemen claimed responsibility, stating they used 10 drones to attack the facility. On January 3, 2020, Qassem Soleimani, commander of the Quds Force of Iran’s Islamic Revolutionary Guard Corps, was killed in a US drone strike on Baghdad International Airport in the early morning. In late 2020, drones played a significant role in the conflict between Armenia and Azerbaijan in Nagorno-Karabakh. Many military experts were particularly impressed by the videos released by the Azerbaijani Ministry of Defense showing TB-2 “Standard” drones, recently purchased from Turkey, and Harop suicide drones, purchased from Israel, attacking Armenian armored vehicles, artillery, cars, and even infantry positions. While the videos clearly show the targets destroyed by the drones, the visual impact of the attacks was undeniably striking. The localized conflicts that occurred in the Middle East and the South Caucasus last December demonstrate the growing role of drones. No wonder some military strategists have even predicted that the 21st century will be the “golden age” for drone development, with drones inevitably replacing manned fighter jets and becoming the “protagonists of the battlefield” in the 21st century.

It can be predicted that future wars will inevitably see unmanned land, sea and air weapons replacing soldiers in performing high-risk missions, and the future battlefield will inevitably be a joint operation combining “human” and “machine”.

Combat-driven training means building an army based on how battles are fought. Future military equipment, whether tanks, robots, or drones, will likely take many forms. Future military personnel must be proficient in intelligent technologies, big data applications, and cloud computing, and master the programming methods for controlling intelligent robots and drones. The future army will inevitably be a “human-machine” integrated force, establishing “human-machine” integrated platoons, companies, combat simulation centers, adversary units, special forces, intelligent command headquarters, and unmanned battalions, regiments, and brigades. At that time, military commanders may have one human and one robot as assistants or deputies. Platoon and company commanders will gradually be replaced by robots, and robots will gradually transition from human control to autonomous decision-making or mind control via human brain cells. As early as the 2014 Brazil World Cup, a paralyzed teenager wearing a “mechanical exoskeleton armor” kicked the first ball through mind control. Today, the technology of mind control over objects or experimental animals is becoming increasingly sophisticated.

In future warfare, it will become possible for a small number of soldiers to lead a massive swarm of unmanned robots, such as bees, ants, or schools of fish, to carry out combat missions. Through thought-based group control, soldiers’ mission comprehension and battlefield control capabilities can be greatly enhanced, enabling efficient identification of friend or foe, remote real-time command, intelligent mission planning, and efficient autonomous collaboration. The Russian Foundation for Future Research states that they have mastered brain-computer interface technology for controlling machines through thought. Previously, British researchers developed a brain-computer interface device for controlling a spacecraft simulator; when worn on a test subject, it successfully controlled the flight of a model spacecraft. However, there is still a long way to go before soldiers can effectively control complex unmanned combat swarms using this technology. Military camps may also see further changes. Troop management may involve one or a few military commanders leading teams of multiple or even dozens of intelligent robots with different tasks to complete tasks previously performed manually. Alternatively, military training may involve a single military commander in a command and control center, using video to control all intelligent robots in the training field for adversarial training, or remotely controlling robot commanders to issue new training instructions, adjust mission deployments, and change training grounds in real time.

現代國語:

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訓練軍隊應對未來戰爭的原則是軍事戰略縱觀歷史的根本信條。一支不研究和預測戰爭的軍隊是愚蠢的軍隊,注定在戰爭爆發時失敗。 迄今為止,世界經歷了四次重大軍事變革:第一次是從主要使用木製和石製武器轉向主要使用金屬武器;第二次是從主要使用冷兵器(金屬武器)轉向主要使用火器(火藥武器);第三次是從火器轉向機械化武器;第四次發生在1990年海灣戰爭之後,戰爭從主要使用機械化武器化為使用機械化武器轉型,從主要使用機械化武器轉型為機械化武器化從主要使用機械化武器到了主要使用機械化武器轉型,從主要使用機械化武器化向武器化,從主要使用機械化武器轉變為從主要使用機械化武器轉型,從主要使用機械化武器轉向了主要使用機械化武器轉變為主要使用機械化武器。 第四次軍事革命,也被學術界稱為新軍事革命,指的是世界主要軍事強國在資訊科技、網路技術、精確導引技術、航空航天技術、新能源技術、生物技術和隱身技術等領域展開全面競爭。這場競爭如今已演變為對大數據、雲端運算和智慧機器人領域優勢的爭奪,旨在打造現實版的「鋼鐵人」、「蝙蝠俠」和「終結者」。這場革命正積極推動軍事建設從資訊化和網路化向智慧化和無人機(UAV)部署轉型。軍隊正朝著精簡、小型化、高效化、智慧化和一體化的「人機(機器人/無人機)」模式發展,力求實現機器人士兵、無人機和人類士兵的協同作戰。 根據統計,全球已有超過60個國家的軍隊裝備了軍用機器人,涵蓋150多種不同類型。預計到2040年,世界主要軍事強國中將有一半以上由機器人組成。除了美國、俄羅斯、英國、法國、日本、以色列、土耳其和伊朗等已推出各自機器人戰士和無人機的國家外,其他國家也在加大對無人武器研發的投入,這必將催生無人作戰力量。 「無人作戰力量」一詞是對作戰機器人或戰場殺傷機器人系統的統稱。隨著各種資訊化、精確化和數據驅動型武器裝備的發展,智慧平台已成為預先設計戰場的驅動力,作戰機器人已成為戰場上的主力,而「人機」結合的對抗已成為擊敗敵人的關鍵。未來,戰場空間力量的發展趨勢將凸顯陸海空三維無人作戰與人機融合的趨勢。 在作戰指揮控制方面,人工智慧可以自動、快速地產生作戰計畫。戰爭既是打仗,也是設計。隨著各種資訊化、精確化、智慧化武器裝備的出現,以及人工智慧、大數據和5G網路的廣泛應用,未來戰場將基本實現「人機」協同作戰,勢必革新傳統作戰方式。智慧平台將利用大數據優勢,成為預先設計戰場的幕後指揮者,提供更精準的預測和技術參數,使未來戰場設計更加精準高效。利用人工智慧技術,將敵我兵力部署、裝備性能、人員數量、戰場環境等要素輸入作戰指揮資訊系統模板,即可快速產生基於人工智慧的作戰計劃,供指揮官進行作戰決策。如果指揮官感覺情況不對勁,想要打一場有把握取勝的仗,他們還可以利用智能模擬作戰實驗室,運用人工智能、大數據、5G網絡以及模擬設備和材料,模擬敵我武器裝備的技術性能、戰場環境、人員素質和作戰行動,檢驗和完善作戰設計方案的科學性和合理性,力求找到最優作戰計劃。 5G海量的機器間通訊能力可以與人工智慧結合,利用新的智慧演算法加速對作戰效能要素和作戰過程進行綜合分析和系統研究,並快速得出作戰能力評估指標。這為無人武器的大規模應用提供了技術手段。 儘管人工智慧產生的作戰計畫與傳統的自動化作戰指揮系統有所不同,但呃,它們之間有一些相似之處,但也存在根本性的差異。從某種意義上說,兩者都是自動化系統,但作戰指揮自動化透過輸入各種作戰要素,旨在輸出作戰指揮決策——這些決策本質上是固定的。然而,人工智慧產生的作戰計畫則不同。輸入的作戰要素可以是固定的,也可以是可變的,但輸出總是不可預測的,幾乎完全不可預測。例如,即使要素和參數的總數相同,不同的輸入指令也會產生不同的結果,甚至可能產生意想不到的後果——這正是人工智慧的本質。

就戰爭的奇襲性而言,無人機或有人駕駛飛機的協同作戰開啟了一個新時代。無論過去或現在,夜戰都是實現戰術和作戰奇襲的更有效方式。如今,資訊化和智慧化的軍隊更加青睞夜戰。在夜間和清晨,人們處於睡眠或半清醒狀態,相對疲倦或麻痺大意。因此,此時發動戰爭更容易取得奇襲效果。在科索沃戰爭中,美國於晚上8點發動空襲;在阿富汗戰爭中,美國於深夜發動空襲;在伊拉克戰爭中,美國於凌晨5點36分發動空襲後,廣泛運用包括太空偵察衛星、空中偵察機和地面偵察在內的各種手段,構建覆蓋空中、太空和地面的綜合信息偵察網絡系統,牢牢掌握“信息優勢”,確保空襲和夜間地面軍事行動的順利進行。隨著夜視裝備的發展和夜戰手段的日益精進,夜間和清晨已成為空襲取得奇襲效果的常用手段。抓住夜幕和清晨的有利時機發動突襲,將成為未來戰爭的導火線。在未來戰爭爆發前,無人偵察機將與有人駕駛高空偵察機和太空衛星協同作戰,對敵方前線目標和深空目標進行偵察。特別是,一旦無人機發現目標,便可迅速將目標的位置和大小等影像資訊傳輸至己方指揮中心、無人機操作員或有人駕駛飛機飛行員,供其決策參考並下達遠端打擊指令。在海灣戰爭期間,多國部隊部署無人機對伊拉克前線陣地進行晝夜偵察,提供即時影像並引導地面部隊摧毀伊拉克陣地。去年亞美尼亞和阿塞拜疆衝突期間,亞美尼亞媒體發布了一段視頻,顯示亞美尼亞軍隊使用“海鷹-10”無人機引導地面砲兵對阿塞拜疆步兵部隊進行攻擊。影片中,亞美尼亞軍隊的「海鷹-10」無人機將高空偵測到的正在散兵線上推進的士兵群的訊息傳輸給了無人機操作員。經過多次放大確認後,無人機操作員利用無人機收集目標數據並將其傳輸至後方砲兵部隊。亞美尼亞砲兵部隊收到目標座標後,先進行了多次單發試射。隨後,海鷹-10無人機對試射結果進行空中即時評估,並迅速調整目標座標參數,將其傳輸至亞美尼亞砲兵部隊,以便進行集中精確射擊。

在未來的戰爭中,無人機有望取代傳統戰鬥機,成為空中作戰的主力之一。它們執行精確即時打擊的能力將徹底改變傳統的有人駕駛飛機在夜間或清晨進行的突襲方式。目前,英國正在研發一種新型高科技隱形無人戰鬥機,該戰鬥機具備隱身能力。它可以對多個目標進行彈藥測試和投放,並能防禦來自其他有人駕駛和無人駕駛飛機的攻擊。即使沒有地面指揮,它也能透過衛星與指揮中心通信,自主作戰,精確打擊遠程目標。因此,無人機作為一股迅速崛起的力量,已從「偵察支援」發展成為「進攻主力」。它們不僅能有效補充衛星偵察,還能執行多種作戰任務,例如遠程偵察、邊境巡邏、目標識別、電磁幹擾、物資補給、精確打擊、自主打擊、偵察打擊一體化作戰以及損毀評估。它們注定將成為未來戰爭的先鋒。

在陸戰場上,無人坦克、無人裝甲車和作戰機器人正衝鋒陷陣,與地面部隊組成混合編隊。為了更有效率地執行戰場任務並減少傷亡,未來的戰場上可能會出現大量無人車輛,例如坦克、裝甲車和後勤運輸車。借助5G網路的高速、低延遲和互聯互通特性,這些車輛無需人工幹預即可自主穿越各種複雜地形和障礙物,並能瞬間做出決策,從而有效確保安全性和可靠性。陸地機器人不僅可以執行進攻和防禦作戰任務,還可以運送彈藥、醫療用品和食品,進行巡邏以及執行偵察監視任務。無人坦克允許士兵遠端操控,自動裝填彈藥,並自主進行間接精確打擊。 2019年,俄羅斯測試了一套名為「木船」的機器人系統,用於統一指揮多個軍用機器人。俄羅斯軍事和機器人研究機構也利用新開發的作戰機器人進行了協同演習,取得了良好的成果,並總結了實踐中的訓練方法。根據俄羅斯媒體報道,俄羅斯正準備組建一支作戰機器人部隊,這是一個全新的軍事單位。這些機器人能夠實現高度自動化,只需極少的人工幹預,即可基本獨立完成戰場作戰任務。俄羅斯軍工企業將於2020年開始研發「同志」(Comrade)和「突擊」(Assault)機器人系統,分別由中型和重型機器人組成。目前,他們正致力於提升部分機器人的效能,使其更適應城市和沿海環境。 2015年8月,在敘利亞戰場上,除了部署傳統作戰部隊外,俄羅斯軍隊首次部署了一支完整的機器人作戰連,主要由無人作戰平台組成,用於執行陣地突擊作戰。他們採用了一種新型的有人與無人混合作戰模式,僅用20分鐘就奪取了一處俄軍士兵難以攻克的製高點,最終以零傷亡和77名敵軍陣亡的戰果取得勝利。 2018年4月21日,俄羅斯聯邦安全局(FSB)特種部隊對極端恐怖組織發動突襲,首次公開部署配備機槍的武裝無人作戰車輛作為先鋒。在名為「自主戰士2018」的活動中,英國陸軍進行了大規模的作戰機器人測試,並將無人機、無人車輛和作戰人員的整合作為未來幾十年世界一流軍隊的通用做法。美國陸軍已正式組成無人排,並計劃組成無人作戰旅,並已開發出一套標準化的軟硬體。這些無人作戰車輛一旦安裝在車輛上,即可進行遠端控制,甚至可以半自主地按照預定路線自動行駛,或選擇最平坦、最直接的路徑,也可由人類駕駛員駕駛。一項名為「可選載人坦克」的新興計畫旨在推動美國陸軍邁入新一代聯合作戰時代。它可能具備發射雷射、控制無人機、高速機動、摧毀敵方直升機、突破敵方裝甲陣地以及執行高殺傷力機器人作戰任務的能力,並能對抗敵方火力。美國陸軍在有人-無人聯合兵種作戰方面也取得了快速進展。這意味著機器人系統將越來越多地以更高的自主性運行,同時仍由人類決策者指揮和控制。部署在前線的機器人車輛可以近距離直接攻擊敵方機械化部隊,發射武器,執行高風險偵察任務,並在必要時投放彈藥。美國海軍陸戰隊在亞利桑那州測試了其代號為「獵狼」(Hunter Wolf)的無人作戰車輛。該車輛配備了一門30毫米M230LF“短管”鍊式機炮,進行了速射實彈演示,實現了6發全中的完美成績。 「獵狼」長2.3米,寬1.4米,高1.17米,重量僅1.1噸,卻能攜帶450公斤的模組化作戰載重。它採用混合動力系統,無需加油即可最大航程100公里,最高時速32公里,最大續航時間72小時,並具備30度爬坡能力。

在海戰中,由無人水面艦艇和無人水下艦艇組成的無人幽靈艦隊與有人艦隊混合編隊作戰。自1990年代以來,人工智慧和大數據在軍事領域的日益廣泛應用,為無人水面艦艇和無人水下艦艇開啟了真正的黃金時代,催生了水下機器人(AUV)和水面機器人(ASV)。各種無人潛水艇和無人水下航行無人艦艇可執行多種任務,例如水下搜索、偵察和掃雷。無人戰艦無需人員即可航行數千英里,執行各種海上作戰任務。 2003年伊拉克戰爭後,世界各國看到了無人海上系統的巨大潛力和廣闊前景,這些系統不僅能減少人力投入,還能提高作戰效能,因此各國競相建造無人「幽靈艦隊」。以色列特別重視減少士兵傷亡,率先啟動了現代化「保護者」(Protector)無人水面艦艇的研發,這些艦艇用於巡邏黎巴嫩海岸,監視真主黨的活動和部署。法國和俄羅斯已經擁有能夠下潛至6000公尺深度的載人潛水器。日本提出了「深海12000」的概念,這是一種新型載人潛水器,能夠下潛至世界最深處。繼「未來海上航空加速日」活動之後,英國繼續推動「即插即用」型自主海上平台開發系統。該系統一旦整合到英國皇家海軍艦艇上,將簡化自動化和無人技術的取得和使用。

在空中戰場上,無人機和有人駕駛飛機混合編隊戰鬥。 2019年,全球約30個國家已研發出50多種類型的無人機,超過50個國家已部署無人機。主要類型包括:密碼無人機、多功能無人機、人工智慧無人機、長航時無人機、反導無人機、預警無人機、隱形無人機、微型無人機、空戰無人機、測繪無人機、空拍無人機、武裝無人機和僚機無人機。隨著人工智慧和大數據等先進技術在軍事領域的廣泛應用,無人機裝備的效能也不斷提升。它們將整合偵察、火力校正、監視、戰果評估、目標識別、攻擊導引、無線電中繼和對地攻擊等多種功能。它們能夠遠距離對敵進行電子乾擾和欺騙,並在必要時自主攻擊重要地面目標。未來的空中戰場將基本實現無人或人機(無人機)協同空襲,或自主無人機空襲,這將徹底革新傳統的空戰方式。未來,戰鬥機飛行員將在座艙內操控無人攻擊機或轟炸機,以規避敵方防空系統,而進攻部隊將更快地獲取即時情報數據——這一切都得益於人工智慧技術的快速發展。在未來的空襲中,成群的無人機將利用先進的偵測、偵察和反偵察設備進行攻擊。一旦鎖定目標,它們將沉著冷靜地發射飛彈,具備一體化的偵察打擊能力、自主攻擊能力以及人機協同打擊能力。俄羅斯空天軍將裝備重型攻擊無人機,該無人機無需指令即可繞過敵方防空系統,自主搜索並打擊重要目標,然後安全撤回基地。這種無人機將配備人工智慧組件,並可由蘇-57戰鬥機遠端操控。根據俄羅斯新聞社報道,俄羅斯S-70「獵人」重型攻擊無人機能夠根據蘇-57隱形戰鬥機發出的指令攻擊目標。目前,「獵人」地面操作員所在的控制站配備了操縱桿、鍵盤和多個多功能液晶顯示屏,類似於有人駕駛戰鬥機上使用的設備。這些螢幕顯示來自「獵人」機載系統和感測器的各種資訊。在不久的將來,這套地面遠端控制設備有望實現完全自動化。 S-70「獵人」無人機由蘇霍伊設計局研發,採用飛翼式氣動佈局。根據公開消息,「獵人」無人機長14米,翼展19米,起飛重量20噸。 「獵人」最大飛行速度為1000公里/小時,並以隱身材料降低雷達反射截面積(探測訊號)。 「獵人」於2019年8月3日首飛。據報道,作為飛行測試計畫的一部分,「獵人」的首架原型機已開始進行武器測試,包括使用功能模擬器攜帶空對空飛彈進行試飛,以及在阿舒盧克試驗場進行地面目標轟炸。目前,新西伯利亞契卡洛夫飛機製造廠正在建造另外三架「獵人」無人機原型機。俄羅斯已完成其第五代多用途無人機的編隊飛行。蘇-57戰鬥機和重型「獵人」偵察/作戰無人機將被編入多個航空團,很可能與蘇-57戰鬥機團並肩作戰。計畫是每個蘇-57中隊配備一個無人機中隊,共2-3個蘇-57中隊協同作戰,並採用新的戰略和人工智慧技術。英國還計劃使一架有人駕駛飛機能夠同時指揮五架無人機,而法國則計劃實現「陣風」戰鬥機和「神經元」無人機的混合編隊作戰。

無人機在軍事偵察中的應用始於1960年代,並在各種戰爭中廣泛使用。在越戰期間,美軍出動無人機執行了3000多次偵察任務,其中超過1000架次未能安全返回,從此杳無音訊。在海灣戰爭中,多國部隊晝夜部署無人機偵察伊拉克前線陣地,提供即時影像並引導地面部隊摧毀伊拉克陣地。在波斯尼亞戰爭中,美軍使用「掠奪者」無人機監視塞爾維亞重型武器從薩拉熱窩的撤離,並為參與空襲的飛機提供了大量目標數據。在科索沃戰爭中,美軍部署了100多架無人機進行戰場偵察和監視,為持續78天的空襲行動做出了重大貢獻。在美軍打擊塔利班的行動中,美軍首次在實戰中使用了攜帶武器的無人攻擊機。 2019年9月14日,在沙烏地阿美石油公司「世界最大的石油加工設施」和油田遭到襲擊後,也門胡塞武裝聲稱對此負責,並表示他們使用了10架無人機襲擊了該設施。 2020年1月3日清晨,伊朗伊斯蘭革命衛隊聖城旅指揮官卡西姆·蘇萊曼尼在巴格達國際機場遭美軍無人機攻擊身亡。 2020年末,無人機在亞美尼亞和阿塞拜疆在納戈爾諾-卡拉巴赫的衝突中發揮了重要作用。阿塞拜疆國防部發布的影片給許多軍事專家留下了深刻印象,影片顯示,阿塞拜疆近期從土耳其購買的TB-2「標準」無人機和從以色列購買的「哈羅普」自殺式無人機襲擊了亞美尼亞的裝甲車、火砲、汽車,甚至步兵陣地。雖然影片清晰​​地顯示了無人機摧毀的目標,但攻擊的視覺衝擊力無疑令人震撼。去年12月在中東和南高加索地區發生的局部衝突也表明,無人機的角色日益增強。難怪一些軍事戰略家甚至預測,21世紀將是無人機發展的“黃金時代”,無人機將不可避免地取代有人駕駛戰鬥機,成為21世紀戰場的“主角”。

可以預見,未來的戰爭中,無人陸地、海上和空中武器將不可避免地取代士兵執行高風險任務,未來的戰場也必將是「人」與「機」結合的聯合作戰。

以實戰為導向的訓練意味著根據實戰方式來打造軍隊。未來的軍事裝備,無論是坦克車、機器人或無人機,都可能呈現多種形式。未來的軍事人員必須精通智慧技術、大數據應用和雲端運算,並掌握控制智慧機器人和無人機的程式設計方法。未來的軍隊必然是一支「人機一體化」部隊,將建立「人機一體化」的排、連、作戰模擬中心、假想敵部隊、特種部隊、智慧指揮總部以及無人營、團、旅。屆時,軍事指揮官可能會配備一名人類和一名機器人作為助手或副手。排長和連長將逐步被機器人取代,而機器人也將逐步從人類控制過渡到自主決策,甚至透過人類腦細胞進行意念控制。早在2014年巴西世界盃上,一位身穿「機械外骨骼裝甲」的癱瘓少年就透過意念控制踢出了第一球。如今,對物體或實驗動物進行意念控制的技術正變得越來越成熟。

在未來的戰爭中,少數士兵將有可能指揮龐大的無人機人群,例如蜜蜂、螞蟻或魚群,以執行作戰任務。透過基於意念的群體控制,士兵的任務理解能力和戰場控制能力可以大大提升,從而實現敵我識別、遠程即時指揮、智慧任務規劃和高效自主協作。俄羅斯未來研究基金會聲稱,他們已經掌握了透過意念控制機器的腦機介面技術。先前,英國研究人員也開發了一種用於控制機器的腦機介面設備。該設備在航天器模擬器上進行了操控;當佩戴在測試對象身上時,它成功控制了模型航天器的飛行。然而,士兵要利用這項技術有效控制複雜的無人作戰集群,還有很長的路要走。軍事營地也可能迎來進一步的變革。部隊管理可能由一名或幾名指揮官帶領由多個甚至數十個智慧機器人組成的團隊,這些機器人承擔不同的任務,完成以前由人工完成的工作。另一種可能性是,軍事訓練可能由一名指揮官在指揮控制中心,透過視訊控制訓練場上的所有智慧機器人進行對抗訓練,或遠端控制機器人指揮官,即時發布新的訓練指令、調整任務部署和更改訓練場地。

中國原創軍事資源:http://www.81.cn/bq_208581/jdt_208582/180080804830.html

Chinese Military Forum | Artificial Intelligence Empowers Synthetic Training Improving Quality & Efficiency

中國軍事論壇 | 人工智慧賦能合成訓練,提升品質與效率

現代英語:

The form of warfare determines the form of training. Currently, the widespread application of artificial intelligence technology will reshape the form of warfare and combat patterns, and trigger profound changes in military training. As an important part of the organizational structure of the new military training system, combined arms training urgently needs to be infused with an “intelligent core” of artificial intelligence, so as to better play its pivotal role in the new military training system, realize the transformation from “formal integration” to “spiritual integration,” and from “elemental coordination” to “intelligent leadership,” and promote the continuous advancement of combined arms training in the new era to higher quality and higher level.

Breaking the deadlock: Driving a change in training logic

Artificial intelligence empowers synthetic training not only as an “efficiency enhancement tool” to improve training effectiveness, but also leads to changes in the connotation, extension, mechanism, and standard requirements of synthetic training.

Achieving intelligent coupling involves a shift in the logic of convergence. Overcoming division through unity and disunity through cohesion are crucial battlefield principles. The key to combined arms training is “unity.” Artificial intelligence empowers combined arms training to better adapt to the collaborative needs of intelligent warfare, making it crucial for creating a “chemical reaction” in operational coordination. The training focuses on deeply integrating human creativity and value judgment with the computing power and intelligence of machines, forming a cognitive advantage at a higher dimension, and achieving a highly integrated, flexible, and intelligently coupled training system. Manned-unmanned collaborative training is a typical example of deeply integrating manned combat forces with unmanned combat systems possessing “intelligent brains,” pursuing minimal casualties and maximum operational efficiency.

Achieving an iterative logical transformation into a closed-loop system. Traditional training is limited by physical conditions, resulting in high trial-and-error costs and long iteration cycles. By leveraging artificial intelligence to create a “digital twin” training environment, through virtual-real interaction and iterative feedback in parallel systems, synthetic training can shift towards a process of continuous exploration, trial-and-error optimization, forming a new training closed loop. Training at different levels can be implemented simultaneously, and thousands of tactics can be tested and optimized in parallel in virtual space at low cost and high speed. The various elements of overall combat capability can be generated almost independently without regard to sequence. At the same time, the generation of combat capabilities exhibits certain characteristics of distribution, synchronicity, integration, and nonlinearity, significantly compressing the traditional training cycle, accelerating the synchronous generation of combat capabilities across levels, and further expanding the iteration of combat capabilities to “intra-domain foundation, cross-domain collaboration, and full-domain integration”.

Extending the value logic of intelligent emergence. Traditional training cannot pre-plan all possible interactions, nor can it easily generate new tactics and collaborative modes that go beyond pre-set plans. This dilemma is difficult to overcome when facing the demands of intelligent warfare. However, artificial intelligence is quietly changing this model, transforming the value of the training ground from simulating past wars to exploring the possibilities of future wars. Artificial intelligence empowers synthetic training, injecting it with the underlying driving force to generate “intelligent emergence.” For example, game-like confrontations with intelligent opposing forces force trainees to break out of conventional thinking frameworks, potentially leading to previously unthinkable, counterintuitive tactical combinations. The purpose of synthetic training is not only to execute known tactics, but also to hone the ability to innovate methods and update strategies in adversarial environments.

Reconstruction: Shaping Synthetic Training Patterns

Synthetic training incorporating artificial intelligence is gradually evolving into a new training model that emphasizes combat-oriented organization, focuses on enhancing intelligence and integration, shifts towards distributed autonomy, and is geared towards dynamic battlefields.

The training focuses on combat-oriented grouping. Today’s combined arms training features more diverse training subjects, more varied force compositions, and higher capability requirements. The training emphasizes combat-oriented grouping, focusing on mission-driven consistency between training and combat, and is characterized by modularity, innovation, and scalability. Artificial intelligence, acting as a “dispatch center,” can assess the status of combat units based on the battlefield situation, quickly generate optimal force grouping plans, allocate relevant elements as needed, integrate new domain and new quality forces, and practice how to quickly aggregate and disperse forces to form flexible “mission-customized” combined arms groups. This provides the system with plug-and-play capability modules that can be dynamically reconstructed, efficiently linked, and adaptively adjusted like building blocks.

Training content leans towards enhancing intelligence and integration. Traditional training focuses more on assessing whether coordinated actions are completed according to plan, time limits, and standards. In intelligent warfare, humans and intelligent systems together form the basic combat components, exerting combat effectiveness through their functional division and deep integration. Therefore, the focus of new-era integrated training should also pay more attention to improving human-machine integration capabilities. In the past, training content based on human-to-human collaboration—including technology upgrades, experience-based training, and self-awareness training—has become less effective. Training content that enhances intelligence and integration is gradually becoming the key to integrated training. In tactical coordination training, trainees need to master how to collaborate and interact efficiently with artificial intelligence systems, how to use artificial intelligence to reorganize collaborative relationships, close the kill chain, coordinate joint troop actions, and achieve “combined punches”.

Training methods are shifting towards distributed and autonomous approaches. The changes brought about by artificial intelligence to combined arms training are primarily reflected in training methods. This involves not only mastering coordinated operations and solidifying the foundation of collaboration, but also in how to innovatively lead the evolution of combat systems. Distributed training, relying on AI technology, supports simultaneous, remote joint training between different combat units under the same combat background, scenario, and battlefield situation, improving training effectiveness. Autonomous training, employing a “human-outside-the-loop” approach, hones trainees’ ability to handle contingencies and act autonomously. Through feedback and self-adjustment, it promotes autonomous iterative upgrades. Conducting adversarial training breaks through the limitations of learning to fight from experience in the past. It introduces an AI-powered “blue team” to “learn” to fight in a simulated complex battlefield environment, adding random, extreme, and highly harassed scenarios.

Training scenarios are geared towards dynamic battlefields. Traditional training scenarios are mostly “pre-set scripts” designed around “established capabilities” and “known threats,” unable to break free from limited cognition and established thinking patterns. Artificial intelligence empowers synthetic training, transforming it into a “dynamic game system” targeting “unknown capabilities” and “emerging threats,” making it more “imaginative.” Based on training objectives, artificial intelligence autonomously generates logical, multi-domain, and multi-dimensional virtual combat scenarios. Through repeated practice in such highly complex and uncertain environments, trainees are more likely to develop new understandings of the future battlefield.

Exploration: Prospective Synthetic Training Path

Artificial intelligence-enabled synthetic training is an iterative evolutionary process. Looking ahead at its development path, the aim is to transcend developmental limitations and narrow-minded thinking, directly addressing “multi-agent game theory” and “digital twin training grounds,” thereby achieving multi-dimensional and systematic advancement.

Build a comprehensive training foundation. Based on digital twins and intelligent technologies, create a comprehensive training environment to achieve intelligent interaction between people, equipment, and environment. This will enable all training combat units to become dynamically adjustable “intelligent agents,” conduct cross-domain training, improve the command, decision-making, and adaptive coordination capabilities of human-machine hybrid intelligence, and incubate new tactics and formation patterns in a realistic battlefield environment.

Deploy an intelligent blue force system. Build an algorithmic adversary with autonomous evolution capabilities and dynamic game theory thinking, shifting training from “adapting to the known” to “coping with the unknown.” Through deep reinforcement learning and game theory models, the intelligent blue force can not only learn known tactical experiences but also autonomously generate diverse tactics based on real-time situations. Furthermore, it can gain insights into the opponent’s behavioral patterns during interactions, prompting the development of real and effective strategies in dynamic confrontations, and honing the unit’s tactical innovation and human-machine collaboration capabilities through continuous high-intelligence confrontations.

Innovate integrated training models. New-era combined arms training demands innovation-driven, technology-enabled approaches, requiring bold exploration and willingness to experiment. This necessitates seamlessly integrating testing grounds, training grounds, and battlefields, and innovating an integrated training model encompassing operational testing institutions, training institutions, and troops. Trainers are not merely simple technology providers and supporters, but rather embedded as training designers, process analysts, and evaluators within the training process. This allows for a better understanding and methodological revolution in training, validating new technologies, tactics, and formations in combined arms training, exploring future combat winning mechanisms, and simultaneously using data from real-world training to optimize artificial intelligence models, forming an integrated and interactive closed loop that truly integrates training with real-world application.

現代國語:

戰爭形式決定訓練形式。目前,人工智慧技術的廣泛應用將重塑戰爭形式和作戰模式,並引發軍事訓練的深刻變革。作為新軍事訓練體系組織結構的重要組成部分,諸兵種合成訓練亟需注入人工智能的“智能核心”,以更好地發揮其在新軍事訓練體系中的關鍵作用,實現從“形式融合”到“精神融合”、“要素協調”到“智能領導”的轉變,推動新時代諸兵種合成訓練不斷邁向更高水平、更高質量的發展。

打破僵局:驅動訓練邏輯的變革

人工智慧賦予合成訓練的權力不僅在於將其作為提升訓練效果的“效率增強工具”,更在於引發合成訓練在內涵、延伸、機制和標準要求等方面的變革。

實現智慧耦合意味著融合邏輯的轉變。以團結化解分裂,以凝聚力化解紛爭,是戰場上至關重要的原則。聯合兵種訓練的關鍵在於「團結」。人工智慧賦能聯合兵種訓練,使其更適應智慧戰爭的協同作戰需求,從而在作戰協調中產生「化學反應」。該訓練著重於將人類的創造力和價值判斷與機器的運算能力和智慧深度融合,形成更高維度的認知優勢,並建構高度整合、靈活且智慧耦合的訓練體系。有人-無人協同訓練是將有人作戰部隊與擁有「智慧大腦」的無人作戰系統深度融合的典型例證,旨在最大限度地減少傷亡並提高作戰效率。

實現迭代邏輯轉換,形成閉環系統。傳統訓練受限於物理條件,導致試誤成本高且迭代週期長。透過利用人工智慧創造「數位孿生」訓練環境,在平行系統中實現虛擬實境互動和迭代回饋,合成訓練可以轉向持續探索、試誤優化的過程,形成新的訓練閉環。不同層級的訓練可以同時進行,數千種戰術可以在虛擬空間中以低成本、高速度並行測試和最佳化。整體作戰能力的各要素幾乎可以獨立生成,無需考慮順序。同時,作戰能力的生成呈現出一定的分佈性、同步性、整合性和非線性特徵,顯著壓縮了傳統訓練週期,加速了跨層級作戰能力的同步生成,並將作戰能力的迭代進一步擴展至「域內基礎、跨域協同、全局融合」。

拓展智能湧現的價值邏輯。傳統訓練無法預先規劃所有可能的交互,也難以產生超越預設計劃的新戰術和協同模式。面對智慧戰爭的需求,這一困境難以克服。然而,人工智慧正在悄悄改變這個模式,將訓練場的價值從模擬過去的戰爭轉變為探索未來戰爭的可能性。人工智慧賦能合成訓練,為其註入了產生「智慧湧現」的內在驅動力。例如,與智慧敵軍進行遊戲式的對抗,迫使受訓人員打破傳統的思維框架,可能催生出以前難以想像、違反直覺的戰術組合。合成訓練的目的不僅在於執行已知的戰術,更在於磨練在對抗環境中創新方法和更新策略的能力。

重構:塑造合成訓練模式

融合人工智慧的合成訓練正逐步演變為一種新的訓練模式,強調以作戰為導向的組織,專注於提升情報和協同作戰能力,轉向分散式自主作戰,並適應動態戰場環境。

訓練重點在於以作戰為導向的編隊。如今的聯合兵種訓練具有更多樣化的訓練科目、更豐富的兵力構成以及更高的能力要求。此訓練強調以戰鬥為導向的分組,專注於訓練與實戰之間任務驅動的一致性,並以模組化、創新性和可擴展性為特點。人工智慧作為「調度器」發揮作用。「指揮中心」能夠根據戰場態勢評估作戰單位的狀態,快速生成最優兵力編組方案,根據需要調配相關要素,整合新領域和新素質的部隊,並演練如何快速集結和分散兵力,形成靈活的「任務定制」合成兵種群。這為系統提供了即插即用的能力模組,可以像積木一樣動態重構、高效連接和自適應調整。

訓練內容傾向於增強智慧化和一體化能力。傳統訓練更著重於評估協同行動是否按計劃、按時、按標準完成。在智慧戰中,人和智慧系統共同構成基本的作戰要素,透過功能分工和深度融合發揮作戰效能。因此,新時代一體化訓練的重點也應更重視提升人機融合能力。過去基於人際協作的訓練內容——包括技術升級、經驗訓練和自我意識訓練——效果已下降。增強智慧化和一體化能力的訓練內容正逐漸成為一體化訓練的關鍵。在戰術協調方面,在訓練中,受訓人員需要掌握如何與人工智慧系統高效協作和互動,如何利用人工智慧重組協作關係,完善殺傷鏈,協調聯合部隊行動,並實現「組合打擊」。

訓練方法正朝著分散式和自主化方向發展。人工智慧為聯合兵種訓練帶來的變革主要體現在訓練方法上。這不僅包括掌握協同作戰和鞏固協作基礎,還包括如何創新地引領作戰系統演進。分散式訓練依賴人工智慧技術,支援不同作戰單位在相同作戰背景、場景和戰場情勢下進行同步遠程聯合訓練,進而提高訓練效率。自主訓練採用「人外環」的方式,磨練受訓人員處理突發事件和自主行動的能力。透過回饋和自我調整,促進自主迭代升級。對抗訓練突破了以往從經驗中學習作戰的局限性,引入人工智慧驅動的「藍隊」進行「學習」。在模擬的複雜戰場環境中作戰,並加入隨機、極端和高度騷擾的場景。

訓練場景面向動態戰場。傳統的訓練場景大多是圍繞著“既有能力”和“已知威脅”設計的“預設腳本”,無法突破認知限制和既定思維模式的束縛。人工智慧賦能合成訓練,將其轉變為針對“未知能力”和“新興威脅”的“動態博弈系統”,使其更具“想像力”。基於訓練目標,人工智慧自主產生邏輯嚴密、多域、多維度的虛擬作戰場景。透過在高度複雜和不確定的環境中反覆練習,受訓人員更有可能對未來的戰場形成新的理解。

探索:合成訓練的未來路徑

人工智慧賦能的合成訓練是一個迭代演進的過程。展望其發展路徑,目標是超越發展局限和狹隘思維,直接面向“多智能體博弈論”和“數位孿生訓練場”,從而實現…多維度、系統性推進。

建構綜合訓練基礎。基於數位孿生與智慧技術,創造綜合訓練環境,實現人、裝備、環境的智慧互動。這將使所有訓練作戰單位成為動態可調的“智能體”,開展跨域訓練,提升人機混合智能的指揮、決策和自適應協調能力,並在真實戰場環境下孵化新的戰術和陣型。

部署智慧藍軍系統。建構具備自主演化能力和動態博弈論思維的演算法對手,將訓練重心從「適應已知」轉向「應對未知」。透過深度強化學習和賽局理論模型,智慧藍軍不僅能夠學習已知的戰術經驗,還能根據即時情況自主生成多樣化的戰術。此外,它還能洞察對手在互動中的行為模式,進而促進戰術的演進。在動態對抗中製定切實有效的戰略,並透過持續的高智慧對抗來磨練部隊的戰術創新能力和人機協作能力。

創新一體化訓練模式。新時代的聯合兵種訓練需要創新驅動、技術賦能的方法,需要大膽探索和勇於嘗試。這就要求無縫整合試驗場、訓練場和戰場,並創新涵蓋作戰測試機構、訓練機構和部隊的一體化訓練模式。教官不再只是技術提供者和支持者,而是作為訓練設計者、流程分析師和評估者融入訓練過程中。這有助於更好地理解訓練方法並進行方法論上的革新,驗證聯合兵種訓練中的新技術、戰術和陣型,探索未來作戰的製勝機制,並同時利用來自真實世界訓練的數據來優化人工智慧模型,從而形成一個真正將訓練與實際應用相結合的整合式互動式閉環。

來源:解放軍報 作者:聶曉麗 趙澤夏 責任編輯:王一亙 2026-01-13 07:xx:xx

聶曉麗 趙澤夏

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/164838781898.html

Chinese Military Cyberspace Forces: Intelligent Command of the Storms and a Dense Skynet

中國軍事網路空間力量:對風暴的智慧指揮與密集的“天網”

現代英語:

Wisdom in control of the winds and clouds, weaving a dense net.

■ Commentary by Peng Bingjie, reporter for PLA Daily

With steel guns in hand and shouts echoing through the heavens, their steps were firm and their spirit soared.

Led by two team leaders, the cyberspace troops marched in majestically, each figure exuding heroic spirit, and each formation perfectly aligned.

On April 19, 2024, the Cyberspace Force was officially established as a brand-new strategic branch of service. In this military parade, this high-tech force, born at the pinnacle of the digital wave and fighting on the invisible battlefield, gloriously received the review of the Party and the people. The officers and soldiers in the formation had an average age of 24, and their high level of education was a prominent feature.

“Right face!” The command was powerful and resounding, soaring into the sky. “One—two—” The loud shouts echoed throughout Tiananmen Square.

In front of Tiananmen Square, First-Class Sergeant Cheng Shujia gripped the flagpole tightly, his eyes blazing and his movements powerful. Following closely behind, the officers and soldiers being reviewed stood in neat rows, the hundreds of people forming a unified whole, as if they were one person.

“It is an immense honor to be a member of the cyberspace forces contingent and to be reviewed in Tiananmen Square with my comrades.” Cheng Shujia, who participated in the 70th National Day military parade, was reviewed again six years later as the flag bearer of the cyberspace forces contingent.

“Holding the military flag and making our first appearance, we must maintain a good posture at all times and show the style of our cyberspace forces.” From the first day he stepped onto the training field, Cheng Shujia silently told himself that he must “make a stunning entrance and a spectacular debut.”

On the eve of this year’s “August 1st” Army Day, President Xi Jinping signed an order to release the designs of the flags for the four branches of the armed forces. On that same day, Cheng Shujia, representing the cyberspace forces, received the flag belonging to his formation for the first time. After repeatedly stroking the flag, he felt that “the flag in my hand has become heavier.”

“Behind this brand-new military flag lies the glorious and profound history of our branch of the military,” said Cheng Shujia. During the revolutionary war years, the predecessors of this unit, amidst hardships and difficulties, took the Party’s flag as their own, dedicated themselves to their mission, climbed higher and higher, made outstanding contributions time and time again, and made selfless contributions, erecting a wordless monument to their loyalty to their mission.

In the era of reform and strengthening the military, heroic troops are tempered and refined; amidst the unpredictable changes in the world, new strategic forces are emerging. Traversing the mysterious cyberspace and fighting on the hidden digital peaks, officers and soldiers of the cyberspace forces will combine every word and character into a mighty army, building an iron wall within a small space and weaving a magnificent sky net with the torrent of information.

With a resolute face, upright posture, and resounding steps, Zhou Wenlong, a student from the Information Engineering University of the Cyberspace Force, stood out among the formation with exceptional focus.

From a “rising star” in the laboratory to a member of the parade team, Zhou Wenlong’s every step forward has required unimaginable effort and sweat. “When doing something, you have to pursue excellence. This spirit is the same in scientific research and military parades,” Zhou Wenlong said.

“When a group of people work on a single task, whether in the laboratory or on the parade ground, we always share a common goal and pursuit.” Zhou Wenlong’s eyes shone brightly in the sunlight. Behind him, faces were equally young and resolute.

With wisdom and strategic brilliance, they command armies and survey the vast sky. This group of vibrant young people are dedicating their youth to the land and rivers of their motherland.

On Tiananmen Square, Wang Zizhu, a member of the reviewing team, marched with firm and proud steps. Seeing this, Hu Yang, the company commander below the parade ground, smiled with satisfaction.

Six years ago, Hu Yang and his comrades marched in perfect unison across Tiananmen Square. As an instructor, he uses his own military parade experience as vivid teaching material, influencing and inspiring generations of students to study diligently and make contributions to the military. This year, more than 20 students, including Wang Zizhu, from the Cyberspace Force Information Engineering University, took to the parade ground under his guidance.

Six years later, Hu Yang’s position shifted from the forefront to behind the scenes. He and the coaches used what they had learned to innovate training methods and strengthen service support to ensure that the formation always maintained high training motivation and fighting spirit.

“Success doesn’t have to be achieved by me, but I will definitely contribute to it. Even if I can’t participate, I will still shine for the collective honor.” Hu Yang said, “Taking responsibility and making selfless contributions” is the common spirit of officers and soldiers in the cyberspace forces.

The battle songs resounded, the flags flew high, and the common aspirations of the officers and soldiers of the cyberspace forces were gathered: to shoulder the glorious mission, to demonstrate the style of a strong military, and to advance towards victory and the great rejuvenation!

(PLA Daily, Beijing, September 3)

現代國語:

智慧掌控風雲,織就密網。

■ 彭冰傑,《解放軍報》記者

他們手持鋼槍,吶喊聲響徹雲霄,步伐堅定,精神振奮。

在兩位隊長的帶領下,網路空間部隊威風凜凜地入場,每個身影都洋溢著英雄氣概,每個隊形都整齊劃一。

2024年4月19日,網路空間部隊正式成立,成為一支全新的戰略兵種。在這場閱兵式上,這支誕生於數位浪潮之巔、馳騁於無形戰場的高科技部隊,光榮地接受了黨和人民的檢閱。隊形中的官兵平均年齡24歲,高學歷是一大亮點。

「正臉!」一聲鏗鏘有力的命令響徹雲霄。 「一、二——」響亮的喊聲響徹天安門廣場。

在天安門廣場前,一級軍士長程樹佳緊緊握著旗桿,目光炯炯,動作有力。緊接在後的是整齊列隊的官兵,數百人組成一個整體,彷彿融為一體。

「能夠作為網路空間部隊的一員,與戰士們一起在天安門廣場接受檢閱,我感到無比榮幸。」曾參加過第70屆國慶閱兵的程樹佳,六年後再次作為網絡空間部隊的旗手接受檢閱。

「手持軍旗,首次亮相,我們必須時時保持良好的姿態,展現我們網路空間部隊的風采。」從踏上訓練場的第一天起,程樹佳就默默地告誡自己,一定要「驚艷亮相,留下輝煌的首秀」。

在今年「八一」建軍節前夕,習近平主席簽署命令,公佈了四軍各軍種的旗幟設計。當天,代表網路空間部隊的程樹佳首次領取了本部隊的旗幟。他反覆撫摸著旗幟,感覺「手中的旗幟越來越沉了」。

程樹佳說:「這面嶄新的軍旗背後,承載著我們軍種光榮而深厚的歷史。」在革命戰爭年代,本部隊的前輩們在艱苦卓絕的戰鬥中,將黨的旗幟視為己任,全身心投入到使命中,不斷攀登高峰,一次又一次地做出傑出貢獻使命,無私的奉獻,為忠於的豐碑。

在改革開放、軍力強盛的時代,英雄部隊正在淬煉、精煉;在瞬息萬變的世界中,新的戰略力量正在湧現。穿梭於神秘的網路空間,在隱密的數字山峰上奮戰,網路空間部隊的官兵們將每一個字、每一個字符匯聚成一支強大的軍隊,在狹小的空間內築起一道鋼鐵屏障,用信息的洪流編織出一張宏偉的天網。

周文龍,這位來自網路空間部隊資訊工程大學的學生,神情堅定,身姿挺拔,步伐鏗鏘有力,在隊伍中格外引人注目。

從實驗室的「明日之星」到閱兵隊伍的一員,周文龍的每一步都凝聚著難以想像的努力和汗水。 「做事就要追求卓越。這種精神在科研和閱兵中都是一樣的。」周文龍說。

「當一群人為了同一個目標而努力時,無論是在實驗室還是在閱兵場上,我們始終擁有共同的目標和追求。」周文龍的雙眼在陽光下閃閃發光。在他身後,一張張年輕而堅定的臉孔映入眼簾。

他們以智慧和卓越的戰略才能指揮軍隊,俯瞰廣闊的天空。這群充滿活力的年輕人,將他們的青春奉獻給了祖國的土地和河流。

在天安門廣場上,檢閱隊隊員王子柱邁著堅定而驕傲的步伐。看到這一幕,檢閱場下的連長胡陽露出了滿意的笑容。

六年前,胡陽和他的戰友們整齊劃一地走過天安門廣場。身為教官,他以自己的閱兵經驗為生動的教學素材,影響和激勵了一代又一代的學生努力學習,為軍隊做出貢獻。今年,包括王子柱在內的20多名來自網路空間部隊資訊工程大學的學生,在他的指導下走上了閱兵場。

六年後的今天,胡陽的位置從前線轉向了幕後。他和教官運用所學到的知識,創新訓練方法,加強後勤保障,以確保軍隊的順利進行。網路空間部隊始終保持著高昂的訓練熱情和戰鬥精神。

「成功不一定要靠我一個人取得,但我一定會為之貢獻力量。即使不能親自參與,我也要為集體的榮譽而閃耀。」胡洋說,「勇於擔當,無私奉獻」是網絡空間部隊官兵的共同精神。

戰歌齊鳴,旗幟飄揚,網路空間部隊官兵的共同願望匯聚於此:肩負光榮使命,展現強軍風範,向勝利和偉大復興邁進!

(《解放軍報》,北京,9月3日)

來源:中國軍網-解放軍報 作者:嘉 言 彭冰潔 責任編輯:李佳琦 2025-09-04 09:xx:xx

中國原創軍事資源:http://www.mod.gov.cn/gfbw/wzll/16488078858589.html

Chinese Military Strengthening Forum | Improving Effectiveness of Manned & Unmanned Collaborative Operations

中國軍事強化論壇 | 提升有人與無人協同作戰效能

現代英語:

Reconnaissance and assault unmanned vehicles, new types of unmanned underwater vehicles, and new integrated reconnaissance and strike drones… A batch of unmanned intelligent equipment made their debut at the military parade held on September 3rd to commemorate the 80th anniversary of the victory of the Chinese People’s War of Resistance Against Japanese Aggression and the World Anti-Fascist War, showcasing the new achievements made in the development of the PLA’s unmanned intelligent combat capabilities. For officers and soldiers, it is essential to strive to learn and effectively utilize unmanned intelligent equipment to improve the effectiveness of manned and unmanned coordinated combat.

The report of the 20th National Congress of the Communist Party of China emphasized accelerating the development of unmanned intelligent combat forces. The widespread application of artificial intelligence in the military field is profoundly influencing the development of the world’s military, giving rise to new combat methods and concepts, and accelerating the evolution of warfare towards intelligence. The participation of unmanned combat forces in military operations is increasing daily, and unmanned intelligent warfare has become a new growth engine for enhancing system-wide combat capabilities. Lenin said, “Without understanding the times, one cannot understand war.” A significant characteristic of recent local wars and armed conflicts worldwide is the increasingly large-scale use of unmanned platforms, the increasingly profound empowerment of artificial intelligence, and the increasingly close collaboration between manned and unmanned forces. Cross-domain joint operations and unmanned autonomy have become new combat trends.

“To acquire a strong army, one must have strong armor and sharp weapons, and rigorous selection and training.” Manned-unmanned collaborative warfare is the most valuable operational mode for future unmanned warfare and a major form of future warfare. “Unmanned platforms, manned systems, unmanned leadership, and human-machine integration” are the distinctive features of intelligent warfare. To improve capabilities in collaborative reconnaissance, strike, assault, support, and defense, it is essential to strengthen manned-unmanned collaborative training, enhance innovation in “manned + unmanned” tactics, and foster a tacit understanding of “human trust in machines and machines assisting humans” in collaboration. This will accelerate the integration of unmanned intelligent combat forces into the combat system as the “main force” and “protagonist.”

Military strategy relies on intelligence, and victory depends on tactics. As Comrade Ye Jianying said, “If we only master modern military means without correct military theory to guide us, we cannot effectively deal with modernized enemies, and we will at least pay a greater price.” Looking at world military history, Britain invented the tank and was the first to deploy it in actual combat, but failed to make the most of it and never developed a corresponding operational theory. In contrast, at the beginning of World War II, Germany pioneered the operational concept of tank formations, developing it into the “Blitzkrieg” theory, which played a crucial role on the battlefield. Good tactics are better than a thousand troops. Officers and soldiers should continuously improve their technological awareness, innovation, and application capabilities, master the winning mechanisms of intelligent warfare, strengthen specialized training in typical operations, and create more training methods and tactics adapted to the informationized and intelligent battlefield.

Every spear has its shield. The anti-drone formation in this military parade was equally eye-catching. The displayed anti-droneous artillery systems, high-energy laser weapons, and high-power microwave weapons, forming a powerful “iron triangle” for countering drones, capable of both soft-kill and hard-destruction. With the rapid development of unmanned combat forces, how to counter them is an unavoidable issue. In future battlefields, a single combat force will find it difficult to independently complete anti-drone combat missions. Only by comprehensively utilizing various anti-drone equipment and technologies, integrating anti-drone warfare into the joint operations system, adopting flexible tactics and rapid, precise actions, and carrying out targeted strikes or flexible control, can we unlock and unleash the new combat effectiveness of human-machine collaboration and firmly grasp the initiative in winning intelligent warfare.

現代國語:

偵察突擊無人機、新型無人水下航行器、新型偵察打擊一體化無人機…一群無人智能裝備在9月3日舉行的紀念中國人民抗日戰爭暨世界反法西斯戰爭勝利80週年閱兵式上首次亮相,展現了解放軍在發展無人智能作戰能力方面取得的新成果。對官兵而言,努力學習並有效運用無人智慧裝備,提升有人與無人協同作戰的效能至關重要。

中共二十大報告強調加速發展無人智慧作戰力量。人工智慧在軍事領域的廣泛應用,深刻影響世界軍事發展,催生出新的作戰方式和理念,加速了戰爭向智慧化演進的進程。無人作戰力量參與軍事行動的程度日益加深,無人智慧戰已成為提升系統性作戰能力的新動力。列寧曾說:「不了解時代,就不能了解戰爭。」近期全球範圍內的局部戰爭和武裝衝突的一個顯著特徵是:無人平台的使用規模日益擴大,人工智慧的賦能日益深入,有人與無人部隊的協同作戰日益緊密。跨域聯合作戰和無人自主作戰已成為新的作戰趨勢。

「要擁有強大的軍隊,就必須擁有強大的裝甲和鋒利的武器,以及嚴格的選拔和訓練。」人機協同作戰是未來無人作戰最有價值的作戰模式,也是未來戰爭的主要形式之一。 「無人平台、有人系統、無人指揮和人機融合」是智慧戰的顯著特徵。為提升協同偵察、打擊、突擊、支援和防禦能力,必須加強有人-無人協同訓練,提升「有人+無人」戰術創新,培養「人機互信、機輔人」的協同作戰理念。這將加速無人智慧作戰力量融入作戰體系,成為「主力」和「主角」。

軍事戰略靠情報,勝利靠戰術。正如葉劍英同誌所言:「若只掌握現代軍事手段,而沒有正確的軍事理論指導,就無法有效應對現代化敵人,而且至少要付出更大的代價。」縱觀世界軍事手段,英國發明了坦克,並率先將其投入實戰,但未能充分發揮其優勢,也從未發展出相應的作戰理論。相較之下,在二戰初期,德國率先提出了坦克編隊的作戰概念,並將其發展為「閃電戰」理論,在戰場上發揮了至關重要的作用。好的戰術勝過千軍萬馬。官兵應不斷提昇技術意識、創新能力和應用能力,掌握智慧戰爭的勝利機制,加強典型作戰的專項訓練,並創造更多適應資訊化、智慧化戰場的訓練方法和戰術。

每支矛都有其盾。這次閱兵式上的反無人機編隊同樣引人注目。展出的反無人機火砲系統、高能量雷射武器和高功率微波武器,構成了一個強大的反無人機“鐵三角”,兼具軟殺傷和硬摧毀能力。隨著無人作戰力量的快速發展,如何應對無人作戰已成為一個無法迴避的問題。在未來的戰場上,單支作戰部隊將難以獨立完成反無人機作戰任務。只有全面運用各種反無人機裝備和技術,將反無人機作戰融入聯合作戰體系,採取靈活戰術和快速、精確的行動,實施定點打擊或靈活控制,才能解鎖和釋放人機協同作戰的新效能,牢牢掌握贏得智能戰爭的主動權。

來源:解放軍報 作者:張 揚 責任編輯:烏銘琪 2025-10-20 06:xx:xx

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/16416356.html

Chinese Military Forum | Initial Exploration of Combat Forms of the People’s War in the Intelligent Warfare Era

中國軍事論壇 | 智慧戰爭時代人民戰爭作戰形式的初步探索

現代英語:

“The deepest source of the power of war lies within the people.” In today’s intelligent age, the magic weapon of people’s war still possesses immense vitality, evolving into new forms such as “technical support,” “data-driven warfare,” “algorithmic guerrilla warfare,” and “sensor-based early warning.” Only by deeply exploring the practical forms and evolutionary logic of people’s war in the intelligent age can this powerful weapon continue to thrive under new historical conditions.

Technology for all

In traditional people’s wars, civilian support primarily focused on the supply of manpower and materials. During the Huaihai Campaign, millions of people pushed wheelbarrows through gunfire to deliver food and ammunition to the front lines; during the Korean War, civilians in the rear worked day and night to produce clothing and other supplies, providing basic necessities for soldiers on the front lines. This form of support, where manpower forms an army and materials flow in a continuous stream, vividly embodies the principle that “the people and the army are the foundation of victory” under specific historical conditions.

In the age of intelligence, civilian participation in warfare is increasingly manifested in technological support. The key to this shift lies in the widespread availability of civilian technology, transforming tools in the hands of the public into convertible combat resources. In the past, advanced technologies were largely monopolized by the military, making civilian participation in warfare extremely difficult. Today, smartphones, civilian drones, and AI development tools are commonplace, allowing ordinary people to master basic technical skills such as data collection, long-range reconnaissance, and information analysis, which can be directly translated into combat effectiveness during wartime. For example, foreign militaries have tested the use of consumer-grade drones equipped with intelligent modules for monitoring personnel activities in forward areas. This means that the public is no longer merely a logistical supporter but also a technological supporter, forming a new foundation of “everyone can participate, and technology can be transformed,” providing new capabilities for higher-level nationwide collaboration.

Behind this evolution lies a clear pattern. First, technological equality is reshaping the barriers to participation. The widespread civilian application of intelligent technologies allows the public to acquire technological capabilities previously exclusive to the military at low cost. Second, the boundaries between military and civilian technologies are blurring. The dual-use nature of technologies such as artificial intelligence and drones allows civilian innovation to directly serve operational needs. Third, the innovation entities are becoming “decentralized.” Technological breakthroughs no longer rely on single laboratories but are dispersed across millions of civilian nodes, including enterprises, makers, and research teams, forming a technology network that enables innovation by all and is usable across all domains. Technological equality has broken the monopoly of military technology, and the deep integration of public wisdom and intelligent tools has given rise to asymmetric advantages in the intelligent era, also endowing people’s war with new connotations and vitality. As the main force of technological innovation shifts to the civilian sector, technological breakthroughs in different dimensions may become the decisive factors on the future battlefield.

Data Crowdsourcing Operations

Traditional people’s wars rely on the widespread mobilization of the masses to create a massive human wave advantage, such as the enthusiastic support of the people during the War of Liberation. This form of warfare can凝聚 a powerful force because it is based on the participation of the entire population, transforming the dispersed individual strength into collective effectiveness.

The dispersed possession of technological capabilities necessitates efficient integration to form a systematic combat force, which is precisely the value of data crowdsourcing warfare. As a crucial link in transforming the dispersed technological capabilities of the entire population into a centralized system, data crowdsourcing warfare solves the problem of fragmented individual capabilities and achieves large-scale resource aggregation. In the intelligent era, everyone is a potential data node and computing power unit. For example, photos taken with a mobile phone can also contribute to information collection in relevant fields. These seemingly scattered individual contributions, through real-time integration using cloud computing and distributed algorithms, can form data processing capabilities and computing power comparable to professional systems. This model of “everyone can participate and contribute at any time” perfectly interprets the essence of “crowdsourcing,” distributing tasks originally undertaken by professional institutions to millions of individual nodes for collaborative completion.

If universal support for technology is “sowing seeds,” then data crowdsourcing warfare is “cultivating a forest.” The key logic enabling its realization lies in three aspects: First, the widespread adoption of smart terminals lowers the barrier to participation. The ubiquity of smart electronic devices empowers every ordinary person with basic data collection and computing power output capabilities, solving the problem of insufficient specialized equipment. Second, technology enables efficient resource aggregation. Cloud computing and distributed algorithms can integrate scattered mobile phone data and fragmented computing power in real time, overcoming the limitations of dispersed individual efforts. Third, the collaborative logic shifts from centralized scheduling to autonomous contribution. The public can upload data or share computing power through simple operations without unified instructions. When thousands of terminal devices become nodes of combat resources, people’s war in the intelligent era builds a new advantage of nationwide data participation and full-domain computing power collaboration, extending the connotation of “military-civilian integration” from physical collaboration to digital collaboration.

Algorithm global guerrilla warfare

In traditional people’s war, guerrilla warfare occupies an important position, serving as a concrete tactical practice of people’s war. The masses, with their familiarity with the terrain and understanding of local conditions, guide guerrillas along concealed routes, transmit intelligence on enemy movements, and provide cover during raids behind enemy lines. The key to this form is the joint efforts of the military and civilians in employing flexible tactics to continuously harass and wear down the enemy behind enemy lines, plunging them into the vast ocean of people’s war.

Aggregated technological resources must ultimately be transformed into actual combat power through tactical application. Algorithmic all-domain guerrilla warfare in the intelligent era is precisely the result of this transformation. Relying on the data and computing power contributed by the entire population, it extends the flexible and mobile characteristics of traditional guerrilla warfare to the digital space, realizing the leap from static storage to dynamic combat of technological resources. Unlike traditional guerrilla warfare, which relies on terrain and manpower, algorithmic all-domain guerrilla warfare’s battlefield spans the entire cyberspace, including the electromagnetic spectrum. It can, like a guerrilla fighter, hide silently in the enemy’s system, waiting for the opportune moment to launch a precise attack; it can, like “sparrow warfare,” launch multi-point harassment through distributed nodes, using scattered attacks to deplete the enemy’s defensive resources; and it can adjust its strategy in real time based on data, dynamically switching attack paths according to the enemy’s system reactions, just as traditional guerrilla fighters change their combat routes according to the enemy situation.

Algorithmic guerrilla warfare is a tactical application of nationwide technological resources. Its evolutionary logic lies in three key aspects: First, the comprehensive expansion of the operational space. Extending from physical spaces like land and sea to virtual spaces like networks and the electromagnetic spectrum, it achieves ubiquitous guerrilla warfare. Second, a generational improvement in decision-making efficiency. Breaking free from the reliance on commander experience in traditional guerrilla warfare, algorithms achieve millisecond-level responses—”discovery equals decision, decision equals action”—based on real-time data. Third, the “decentralization” of power aggregation. Just as traditional guerrilla warfare relies on dispersed militia units, algorithmic guerrilla warfare forms a “swarm” effect through distributed node collaboration; individual nodes, though weak, can collectively create overall combat power. Algorithmic guerrilla warfare continues the essence of people’s war—the ability to overcome the strong with the weak—not only providing flexible and efficient tactical options for modern warfare but also injecting new tactical vitality into people’s war in the intelligent era, becoming a new method and path to victory.

Sensor distribution early warning

In traditional people’s wars, the eyes and ears of the masses are a key support for the early warning system. Limited by technology at the time, early warning systems were primarily built upon human nodes and rudimentary communication methods. For example, village sentries visually monitored target movements, traveling merchants used their mobility to transmit intelligence, and coastal fishermen monitored unusual vessels in the sea based on their production activities. These scattered civilian observation points exchanged information through agreed-upon signals such as “message trees” and “feather letters,” weaving a wide-ranging early warning network. This model, based on the logic of “the people as the main perceptive body and simple means as the interaction link,” while having a limited scope of perception and lower transmission efficiency, highlighted the essential characteristic of people’s war—the participation of the entire population.

In the intelligent era, the participation of all citizens in technology is not only reflected in offensive tactics but also in building a robust defensive barrier. Distributed early warning systems, by leveraging the sensing devices in the hands of the public to form a comprehensive early warning network, represent an extension of technological capabilities from offensive applications to defensive safeguards. In everyday security and collaborative scenarios, electronic devices can serve as auxiliary carriers for information perception. This model of “device-extended sensing and real-time data flow” transforms traditional, scattered human observation into distributed early warning based on civilian devices, achieving the need for comprehensive coverage and immediate response in early warning systems.

Sensor-based distributed early warning is a security defense line involving the entire population, representing a comprehensive application of technological capabilities and data resources. Its evolution is driven by several key logics: First, the perception dimension extends from the human body to technology. Leveraging the infrared detection and high-definition imaging capabilities of civilian devices, it overcomes the physical limitations of the human eye and ear, capturing abnormal signals from greater distances and in more complex environments, thus solving the problem of insufficient sensory capabilities. Second, information transmission upgrades from physical links to digital links. Relying on mobile networks and dedicated platforms, early warning information can be transmitted in real-time across geographical barriers, replacing traditional methods such as shouting and flag signals, overcoming the limitations of low transmission efficiency. Third, the judgment method shifts from experience-based reliance to precise assessment. Intelligent algorithms perform cross-analysis and judgment of multi-source information, achieving greater accuracy than simply relying on personal experience, meeting the primary requirements of rapid and accurate early warning. Sensor-based distributed early warning in the intelligent era continues the logic of traditional early warning involving the entire population. From capability foundation to resource aggregation, from tactical deployment to defensive barriers, the participation of the entire population in the intelligent era forms a tightly linked operational loop, giving new life to the principle that “the people are the foundation of victory” in the digital space.

現代國語:

「戰爭力量的源頭在於人民。」在當今智慧時代,人民戰爭這一神奇武器依然擁有巨大的生命力,並演化出「技術支援」、「數據驅動戰」、「演算法遊擊戰」和「感測器預警」等新形式。只有深入探索智慧時代人民戰爭的實踐形式和演化邏輯,這強大的武器才能在新的歷史條件下繼續蓬勃發展。

科技惠及全民

在傳統的人民戰爭中,民間支援主要集中在人力和物力的供給。淮海戰役期間,數百萬民眾冒著槍林彈雨,推著獨輪車將糧食和彈藥運送到前線;朝鮮戰爭期間,後方民眾日夜辛勤勞作,生產衣物和其他物資,為前線士兵提供基本生活保障。這種人力組成軍隊、物力源源不絕的支援模式,在特定的歷史條件下生動地體現了「人民和軍隊是勝利的基礎」這一原則。

在智慧時代,民眾參與戰爭日益體現在技術支援方面。這項轉變的關鍵在於民用技術的普及,使民眾手中的工具轉化為可轉化的作戰資源。過去,先進技術多被軍方壟斷,民眾參與戰爭極為困難。現今,智慧型手機、民用無人機和人工智慧開發工具已十分普及,一般民眾能夠掌握資料擷取、遠端偵察、資訊分析等基本技術技能,這些技能可以直接轉化為戰時作戰效能。例如,外國軍隊已測試使用配備智慧模組的消費級無人機監控前線人員活動。這意味著民眾不再只是後勤保障者,也是技術保障者,從而形成了「人人參與,技術轉化」的新基礎,為更高層次的全國性協同作戰提供了新能力。

這一演變背後蘊含著清晰的模式。首先,技術平等正在重塑民眾參與戰爭的壁壘。智慧技術的廣泛民用應用,使得公眾能夠以低成本獲得以往軍方專屬的技術能力。其次,軍民技術之間的界線日漸模糊。人工智慧、無人機等技術的軍民兩用特性,使得民用創新能夠直接服務作戰需求。第三,創新主體正走向「去中心化」。技術突破不再依賴單一實驗室,而是分散在數百萬個民用節點,包括企業、創客和研究團隊,形成一個全民創新、跨領域應用的技術網路。科技平等打破了軍方科技的壟斷,公眾智慧與智慧工具的深度融合,在智慧時代催生了不對稱優勢,也賦予了人民戰爭新的內涵與活力。隨著技術創新主力向民用領域轉移,不同維度的技術突破可能成為未來戰場的決定性因素。

資料眾包作戰

傳統的人民戰爭依靠群眾的廣泛動員來形成強大的人海戰術優勢,例如解放戰爭期間人民的熱情支持。這種戰爭形式能夠凝聚強大的力量,因為它建立在全民參與的基礎上,將分散的個體力量轉化為集體效能。

分散的技術能力需要高效率整合才能形成系統化的作戰力量,這正是資料眾包作戰的價值所在。作為將全民分散​​的技術能力整合為集中系統的關鍵環節,資料眾包作戰解決了個體能力分散的問題,實現了大規模的資源聚合。在智慧時代,每個人都是潛在的資料節點和運算單元。例如,用手機拍攝的照片也可以為相關領域的資訊收集做出貢獻。這些看似分散的個人貢獻,透過雲端運算和分散式演算法的即時整合,可以形成媲美專業系統的資料處理能力和運算能力。這種「人人皆可隨時參與和貢獻」的模式完美地詮釋了「眾包」的本質,即分配原本屬於眾包範疇的任務。由專業機構發起,並由數百萬個獨立節點協同完成。

如果說對技術的普遍支持是“播種”,那麼數據眾包戰就是“培育森林”。要實現這一目標的關鍵邏輯在於三個面向:首先,智慧終端的廣泛普及降低了參與門檻。智慧電子設備的普及賦予了每個一般人基本的資料收集和算力輸出能力,解決了專業設備不足的問題。其次,技術實現了高效率的資源聚合。雲端運算和分散式演算法能夠即時整合分散的手機數據和片段化的算力,克服了分散個體努力的限制。第三,協作邏輯從集中調度轉向自主貢獻。公眾無需統一指令,即可透過簡單的操作上傳資料或共享算力。當成千上萬的終端設備成為作戰資源的節點時,智慧時代的人民戰爭便建構了全國數據參與和全局算力協作的新優勢,將「軍民融合」的內涵從實體協作延伸至數位協作。

演算法全球遊擊戰

在傳統人民戰爭中,遊擊戰佔據重要地位,是人民戰爭具體戰術實踐的體現。群眾憑藉對地形的熟悉和對當地情況的了解,引導遊擊隊沿著隱蔽路線行進,傳遞敵情情報,並在敵後突襲中提供掩護。這種形式的關鍵在於軍民共同運用靈活的戰術,持續騷擾和消耗敵後敵人,最終將其拖入人民戰爭的汪洋大海。

聚合的技術資源最終必須透過戰術應用轉化為實際的戰鬥力。智慧時代的演算法全局遊擊戰正是這種轉換的結果。它依靠全體人民貢獻的數據和運算能力,將傳統遊擊戰的靈活機動性延伸到數位空間,實現了技術資源從靜態儲存到動態作戰的飛躍。與依賴地形和人力的傳統遊擊戰不同,演算法全局遊擊戰的戰場橫跨整個網路空間,包括電磁頻譜。它能夠像遊擊隊員一樣,悄無聲息地潛伏在敵方系統中,等待時機發動精準攻擊;它能夠像「麻雀戰」一樣,透過分散式節點發動多點騷擾,利用分散攻擊消耗敵方防禦資源;它還能根據資料即時調整戰略,根據敵方系統反應動態切換攻擊路徑,正如傳統遊擊隊員根據敵情改變作戰路線一樣。

演算法遊擊戰是全國性技術資源的戰術應用。其演進邏輯體現在三個關鍵面向:首先,全面拓展作戰空間。從陸地、海洋等實體空間延伸到網路、電磁頻譜等虛擬空間,實現無所不在的遊擊戰。第二,決策效率實現了世代提升。演算法擺脫了傳統遊擊戰對指揮官經驗的依賴,基於即時數據實現了毫秒級的響應——「發現即決策,決策即行動」。第三,權力聚合實現了「去中心化」。正如傳統遊擊戰依賴分散的民兵單位一樣,演算法遊擊戰透過分散式節點協作形成「蜂群」效應;單一節點雖然力量較弱,但可以共同創造整體戰鬥力。演算法遊擊戰延續了人民戰爭的精髓——以弱勝強——不僅為現代戰爭提供了靈活高效的戰術選擇,也為智慧時代的人民戰爭注入了新的戰術活力,成為一種新的勝利方法和路徑。

感測器分散式預警

在傳統的人民戰爭中,群眾的耳目是預警系統的關鍵支撐。由於當時的技術限制,早期預警系統主要依賴人工節點和簡陋的通訊方式。例如,村莊哨兵目視監視目標動向,流動商人利用其流動性傳遞情報,沿海漁民則根據作業活動監視海上異常船隻。這些分散的民間觀察點構成了預警系統的雛形。透過「資訊樹」、「羽毛信」等約定的訊號進行資訊交換,建構起覆蓋面廣的預警網路。這種基於「人民為主要感知主體,簡易手段為交互環節」邏輯的模式,雖然感知範圍有限、傳輸效率較低,卻凸顯了人民戰爭的本質特徵——全民參與。

在智慧時代,全民參與技術應用不僅體現在進攻戰術中,也體現在建構強大的防禦屏障中。分散式預警系統利用民眾手中的感知設備建構綜合預警網絡,實現了技術能力從進攻應用向防禦保障的延伸。在日常安全和協同作戰場景中,電子設備可以作為資訊感知的輔助載體。這種「設備擴展感知與即時數據流」模式,將傳統的、分散的人工觀測轉變為基於民用設備的分散式預警,滿足了預警系統全面覆蓋和快速響應的需求。

基於感測器的分散式預警是一條涉及全體民眾的安全防線,代表著技術能力和資料資源的綜合應用。其發展演進遵循以下幾個關鍵邏輯:首先,感知維度從人體延伸至技術層面。利用民用設備的紅外線探測和高清成像能力,突破了人眼和耳朵的物理局限,能夠在更遠的距離和更複雜的環境中捕捉異常訊號,從而解決了感知能力不足的問題。其次,資訊傳輸從實體鏈路升級到數位鏈路。依托行動網路和專用平台,預警訊息可跨越地理障礙即時傳輸,取代了傳統的喊話、旗語等方式,克服了傳輸效率低下的限制。第三,判斷方式從依賴經驗轉向精準評估。智慧演算法對多源資訊進行交叉分析與判斷,精準度遠超個人經驗,滿足了快速、準確預警的首要需求。智慧時代的基於感測器的分散式預警延續了傳統預警涉及全體民眾的邏輯。從能力基礎到資源聚合,從戰術部署到防禦屏障,全民參與智慧時代形成緊密相連的運作循環,在數位空間中賦予「人民是勝利的基礎」這項原則新的生命。

智能時代人民戰爭作戰形態初探

■王欽輝  徐澄

來源:中國軍網-解放軍報 作者:王欽輝 徐澄 責任編輯:徐佔虎

2025-10-30 06:xx:xx

中國原創軍事資源:http://www.81.cn/ll_2088543/168481858382.html

Chinese Military’s Dissipation Warfare: Typical Method of China’s Intelligent Warfare

中國軍隊的消散戰:中國情報戰的典型方法

現代英語:

With the rapid development of intelligent technologies and their widespread application in the military, intelligent warfare is becoming a new form of warfare following information warfare, and dissipation warfare is becoming a typical mode of intelligent warfare. Dissipation warfare refers to a combat method in which an intelligent warfare system, through internal enrichment and integration and external sudden emergence, achieves a comprehensive combat capability integrating material consumption, energy dissipation, and information diffusion. Strengthening research on dissipation warfare will help us to deeply reveal the winning mechanisms of intelligent warfare and gain the initiative in future war games.

Dissipation warfare is an inevitable result of the development of the times.

Dissipative warfare manifests as a comprehensive confrontation in the physical, information, and cognitive domains in the era of intelligence. It is characterized by a high degree of unity in forms such as political contests, economic competition, military offense and defense, cultural conflicts, and diplomatic checks and balances, reflecting the openness, complexity, and emergent nature of intelligent warfare systems.

Adapting to the security requirements of the intelligent era. In the intelligent era, technologies such as broadband networks, big data, large-scale models, cloud computing, and deep learning are developing rapidly, leading to broader connections between political groups, nations, and ethnic groups. Under the influence of multiple factors including political pluralism, economic integration, social openness, and technological revolution, non-traditional security is emerging and intertwined with traditional threats. The subjects and scope of intelligent warfare are constantly expanding, and the time and space of warfare are continuously extending. War and peace are inextricably linked, and the warfare system will further transcend local geographical limitations, moving from relative closure to greater openness, forming a higher level and wider-ranging confrontation. Dissipative warfare emphasizes the comprehensive exertion of intelligent warfare systems in the physical, information, and cognitive domains, highly unifying political contests, economic competition, military offense and defense, cultural conflicts, and diplomatic checks and balances within the scope of adversarial confrontation, thus adapting to the demands of the evolving global security landscape.

This aligns with the objective laws governing the evolution of warfare. The dissipative phenomenon in warfare has existed since the inception of war; however, before the emergence of intelligent warfare, due to technological limitations, it remained in a relatively rudimentary and simple state, with warfare manifesting only in one of the following forms: material consumption, energy dissipation, or information diffusion. In the agricultural era, warfare was primarily characterized by material-driven, human-centered cold weapon warfare. In the industrial era, warfare was primarily characterized by energy-driven, platform-centered thermonuclear and mechanized warfare. In the information age, warfare is primarily characterized by information-driven, network-based information warfare. Entering the intelligent era, intelligent technology highly unifies the cognitive, decision-making, and operational advantages in adversarial confrontation. Essentially, it highly unifies matter, energy, and information, forming an intelligent warfare model dominated by intelligent elements and centered on intelligent algorithms through intelligent empowerment, intelligent energy aggregation, and intelligent energy release. Its main manifestation is dissipative warfare, reflecting the complex systemic confrontation of intelligent warfare.

It possesses a solid philosophical theoretical foundation. Social forms are the matrix of war forms. Exploring and understanding intelligent warfare must be based on the fundamental principles of historical materialism and dialectical materialism, comprehensively examining the evolution of war forms and the social forms in which intelligent warfare exists, and constructing a new concept and contextual system of warfare. From a philosophical perspective, matter, energy, and information are the three major elements constituting the world. Matter embodies the existence of origin, energy embodies the existence of motion, and information embodies the existence of connection. These three progressively and alternately dominate the evolution and operation of social and war forms. According to the principle of negation of negation in dialectical materialism, in the intelligent era following the information age, the dominant element of society will once again be matter, after matter, energy, and information. However, this matter will be a new type of matter formed through a spiral ascent after high informatization, and its main characteristic is the possession of intelligent technological attributes. Therefore, in essence, dissipative warfare is the high degree of unification of the characteristic advantages of matter, energy, and information in previous low-level war forms by intelligent elements, and the high degree of unification of the forms of material consumption, energy dissipation, and information diffusion that are common in warfare, reflecting the typical characteristics of intelligent warfare.

Deeply grasp the intrinsic essence of dissipation warfare

Dissipation warfare is based on the real world but encompasses the virtual world. It adapts to the rapid development of intelligent technology, the rise of non-traditional security threats, and the continuous expansion of the subjects and scope of warfare, thus exhibiting many new characteristics.

Comprehensive Game of Confrontation. As intelligent warfare accelerates its development to greater depth and breadth, the interconnections and influences across political, economic, cultural, and diplomatic fields are becoming more extensive. The focus of war is shifting from the military system to the social system. The confrontation between stakeholders will manifest as a comprehensive game involving political contests, economic competition, military offense and defense, cultural conflicts, and diplomatic checks and balances. The pursuit of war advantage is no longer limited to the realm of military confrontation. The victorious side must adapt to the openness, complexity, and emergent nature of the war system, shifting from the extensive consumption and application of single materials, energy, and information to a dissipative approach dominated by intelligent advantages, striving to gain the initiative and advantage in comprehensive games across multiple domains.

The actors in intelligent warfare are becoming increasingly diverse and multi-domain. The potential forces mobilized in traditional warfare will be in a state of constant confrontation. Political forces, various institutions and personnel, along with the troops and soldiers who fight on the battlefield in the traditional sense, constitute the main actors in war. This diversified range of actors will transcend the real and virtual domains, appearing in multiple spatial domains such as land, sea, air, space, cyberspace, and psychology, encompassing the physical, information, and cognitive domains, and covering various social domains including politics, economics, culture, and diplomacy. For example, civilians can use smartphones to collect information from the military battlefield and transmit it to stakeholders, causing the dissemination of key war information and thus influencing war decisions or the outcome of a campaign or battle.

Power integration and aggregation. Virtual and virtual forces are integrated. Around the war’s objectives, all potentially usable real and virtual forces will be integrated with intelligent technology, performing their duties and acting according to regulations on parallel battlefields; unmanned and manned forces are integrated. After undergoing stages of manual operation, authorization, and supervision, unmanned combat forces will achieve a high degree of autonomy and can be deployed and combined with various manned forces as needed, effectively coordinating and coexisting under common war rules; multiple forces are integrated. Based on extensive connections across various fields and the common objectives of the war system, various forces, including the Party, government, military, police, and civilians, will closely coordinate military operations with political, economic, diplomatic, public opinion, and legal struggles, forming comprehensive combat power. In short, under the unified planning of a nation or political group, although the diverse participating forces in intelligent warfare are physically dispersed, they can achieve logical concentration, immediate aggregation, complementary advantages, and integrated strengths around a common war objective.

The cumulative effect of warfare is emerging. While advanced warfare features new technological characteristics, it still retains the advantages and characteristics of lower-level warfare. Dissipative warfare emphasizes continuous, comprehensive confrontation across multiple domains. This includes the depletion of ammunition, supplies, equipment, and even personnel at the material level; the continuous accumulation and release of energy at the energy level; and the immeasurable impact on human thinking, values, moral concepts, emotions, and behavioral patterns through the diffusion and integration of data, knowledge, and algorithms at the information level. Under the constant deterrence of nuclear weapons, intelligent warfare is showing a decrease in brutality, but political isolation, economic blockade, cultural conflict, and diplomatic suppression will become more severe and intense. When the various systems—military, political, economic, cultural, and diplomatic—continue to function effectively, and the cumulative effect reaches a certain level, the warfare system will increase its negative entropy, leading to a sudden leap in combat power and the emergence of systemic effectiveness, thereby gaining a wartime advantage.

Choose the right focus of the battle and wage a war of attrition.

Intelligent warfare systems achieve maximum system combat effectiveness through internal enrichment and integration, external emergence of sudden changes, cross-domain efficiency enhancement, and intelligent dissipation. This is the winning mechanism inherent in dissipation warfare. To gain the upper hand in intelligent warfare, it is essential to clarify the operational focus of dissipation warfare, target the weaknesses and shortcomings of the opponent’s system, and accurately identify the key points for war preparation.

Focusing on the openness of the system, the strategy aims to isolate and close off the opponent’s war system. This involves cutting off the material, energy, and information exchange between the opponent’s war system and the external battlefield environment, depriving it of these sources of resources and gradually leading it towards isolation, closure, and weakness. At the strategic level, political isolation can be employed to isolate the opponent’s war system, causing an increase in system entropy. At the operational level, methods such as cutting off data sources, destroying data backups, falsifying data, and altering information can be used, employing a combination of hard and soft tactics to force its war system towards a closed state, thereby reducing the effectiveness of the opponent’s system.

Focusing on the complexity of the system, attacks can be launched at different domains to disrupt the opponent’s war system. The more interconnected and tightly linked the elements of an intelligent warfare system, the lower its structural reliability. By applying the principle that each layer in a complex system is relatively independent, strategic, operational, and tactical action plans can be formulated to achieve layered and domain-specific disruption of the enemy’s war system. For example, at the strategic level, economic blockade can be used to significantly weaken the opponent’s war power and development potential. At the operational level, the vulnerability of the combat system’s communication network can be exploited, using a combination of cyber and electronic warfare attacks as the basic path and means, employing methods such as “destroying endpoints, attacking elements, isolating clusters, disabling networks, and breaking through cloud infrastructure” to disrupt the opponent’s combat system structure and cause its war system to “collapse.”

Focusing on systemic emergent effects, the goal is to dismantle and disperse the adversary’s war system. Intelligent warfare systems can only rapidly form and exert their systemic effectiveness, gaining a dissipative advantage, if only individual components or elements function. It is impossible for an advantage to emerge if only a single component or element is active. It is foreseeable that emerging technologies such as ChatGPT, and more advanced intelligent technologies in the future, will provide new ways of thinking about understanding and discovering the complex operational behavior, states, and patterns of war systems, as well as new means of exploring objective laws and transforming nature and society. The dominant party in a war confrontation will reduce the coupling degree of the adversary’s war system through a combination of virtual and real, parallel and integrated confrontation methods, achieving the goal of dismantling and dispersing the enemy’s war system.

現代國語:

隨著智慧科技的快速發展及其在軍事領域的廣泛應用,繼資訊戰之後,智慧戰正成為一種新型戰爭形式,而耗散戰則成為智慧戰的典型模式。耗散戰是指智慧戰系統透過內部的強化整合和外在的突現,實現物質消耗、能量耗散和資訊擴散三者融合的綜合作戰能力。加強耗散戰的研究,有助於我們深入揭示智慧戰的勝利機制,並在未來的戰爭賽局中掌握主動權。

耗散戰是時代發展的必然產物。

在智慧時代,耗散戰表現為在物質、資訊和認知領域展開的全面對抗。它具有高度統一性的特點,涵蓋政治博弈、經濟競爭、軍事攻防、文化衝突、外交制衡等多個面向,體現了智慧戰系統的開放性、複雜性和湧現性。

適應智慧時代的安全需求。在智慧時代,寬頻網路、大數據、大規模模式、雲端運算、深度學習等技術快速發展,使得政治群體、國家和民族之間的聯繫日益緊密。在政治多元化、經濟整合、社會開放和技術革命等多重因素的影響下,非傳統安全正在興起,並與傳統威脅交織在一起。智能戰的主體和範圍不斷擴大,戰爭的時空也不斷延伸。戰爭與和平密不可分,戰爭體系將進一步超越地域限制,從相對封閉走向更開放,形成更高層次、更廣泛範圍的對抗。耗散型戰爭強調智慧戰系統在物理、資訊和認知領域的綜合運用,將政治博弈、經濟競爭、軍事攻防、文化衝突以及外交制衡等因素高度整合到對抗的範疇內,從而適應不斷演變的全球安全格局。

這與支配戰爭演化的客觀法則相符。戰爭中的耗散現象自戰爭誕生之初便已存在;然而,在智能戰爭出現之前,由於技術限制,戰爭仍處於相對原始和簡單的狀態,僅以物質消耗、能量耗散或信息擴散三種形式之一表現出來。在農業時代,戰爭主要以物質驅動、以人為中心的冷兵器戰爭為特徵。在工業時代,戰爭主要以能量驅動、以平台為中心的核戰和機械化戰爭為特徵。在資訊時代,戰爭主要以資訊驅動、網路為基礎的資訊戰為特徵。進入智慧時代,智慧科技高度整合了對抗中的認知、決策和作戰優勢。本質上,它高度整合了物質、能量和訊息,透過智慧賦能、智慧能量聚合和智慧能量釋放,形成以智慧元素為主導、以智慧演算法為中心的智慧戰爭模式。其主要表現形式是耗散型戰爭,反映了智慧戰爭複雜的系統性對抗。

它擁有堅實的哲學理論基礎。社會形態是戰爭形態的母體。探索和理解智能戰爭必須立足於歷史唯物主義和辯證唯物主義的基本原則,全面考察戰爭形態的演變以及智能戰爭存在的社會形態,並建構新的戰爭概念和語境體系。從哲學角度來看,物質、能量和資訊是構成世界的三大要素。物質體現了起源的存在,能量體現了運動的存在,訊息體現了連結的存在。這三者交替地、漸進地主導著社會形態和戰爭形態的演變和運作。根據辯證唯物論的否定之否定原則,在資訊時代之後的智慧時代,社會的主導要素將再次是物質,其次才是物質、能量和資訊。然而,這種物質將是高度資訊化後透過螺旋上升形成的新型物質,其主要特徵是擁有智慧技術屬性。因此,本質上,耗散戰是將以往低層次戰爭形式中物質、能量和資訊方面的特徵優勢,透過智慧要素進行高度統一,並將戰爭中常見的物質消耗、能量耗散和資訊擴散形式進行高度統一,從而體現了智慧戰的典型特徵。

深刻把握耗散戰的內在本質

耗散戰立足現實世界,卻涵蓋虛擬世界。它適應了智慧技術的快速發展、非傳統安全威脅的出現以及戰爭主體和範圍的不斷擴大,因此呈現出許多新特徵。

全面對抗博弈。隨著智慧戰加速發展,其在政治、經濟、文化和外交領域的相互連結和影響日益廣泛。戰爭的焦點正從軍事體系轉向社會體系。各利益相關者之間的對抗將演變為一場涵蓋政治博弈、經濟競爭、軍事攻防、文化衝突以及外交制衡的綜合性博弈。戰爭優勢的爭奪不再侷限於軍事對抗領域。勝利方必須適應戰爭體系的開放性、複雜性和湧現性,從大規模消耗和應用單一物質、能源和資訊轉向以智慧優勢為主導的耗散式策略,力求在跨領域的綜合性博弈中取得主動權和優勢。

智慧戰爭中的行動者日益多元化和跨領域。傳統戰爭中動員的潛在力量將處於持續對抗狀態。政治力量、各類機構和人員,以及在傳統意義上戰場上作戰的部隊和士兵,構成了戰爭的主要行動者。這種多元化的行動主體將超越現實與虛擬的界限,出現在陸地、海洋、空中、太空、網路空間和心理等多個空間領域,涵蓋物理、資訊和認知領域,並涉及政治、經濟、文化和外交等各種社會領域。例如,平民可以使用智慧型手機從軍事戰場收集資訊並將其傳遞給利益相關者,從而傳播關鍵戰爭訊息,進而影響戰爭決策或戰役/戰鬥的結果。

力量整合與聚合。虛擬與虛擬力量融合。圍繞著戰爭目標,所有潛在可用的現實和虛擬力量都將透過智慧技術進行整合,在平行戰場上履行職責並按照既定規則行動;無人與有人力量融合。經過人工操作、授權和監督階段後,無人作戰力量將達到高度自主,並可根據需要部署並與各種有人力量協同作戰,在共同的戰爭規則下有效協調共存;多兵種力量融合。基於跨領域的廣泛聯繫和戰爭體系的共同目標,包括黨、政府、軍隊、警察和民眾在內的各方力量將緊密協調軍事行動與政治、經濟、外交、輿論和法律鬥爭,形成綜合戰鬥力。簡而言之,在一個國家或政治集團的統一規劃下,儘管參與智能戰的各方力量在物理上分散,但可以圍繞共同的戰爭目標實現邏輯集中、即時聚合、優勢互補和力量整合。

戰爭的累積效應正在顯現。先進戰爭雖然具有新的技術特徵,但仍保留了低層次戰爭的優點和特徵。耗散型戰爭強調跨多個領域的持續、全面對抗。這包括物質層面的彈藥、補給、裝備乃至人員的消耗;能量層面的能量的持續累積和釋放;以及透過數據、知識和演算法的擴散和整合,對人類思維、價值觀、道德觀念、情感和行為模式產生不可估量的影響。在核武持續嚇阻下,情報戰的殘酷性降低,但政治孤立、經濟封鎖、文化衝突和外交壓制將變得更加嚴重和激烈。當各種體系——軍事、政治、經濟、文化和外交——都受到影響時,情況可能會變得更加複雜。外交手段-持續有效運作,累積效應達到某一水準後,戰爭系統會增加其負熵,導致戰鬥力突飛猛進,系統效能湧現,進而獲得戰時優勢。

選擇正確的作戰重點,進行消耗戰。

智慧戰系統透過內部的豐富與整合、外在突發的變化、跨域效能的提升、智慧化的消散,實現系統作戰效能的最大化。這是消散戰固有的致勝機制。要在智慧戰中取得優勢,關鍵在於明確消散戰的作戰重點,找出對手系統的弱點和不足,並準確地辨識備戰的關鍵點。

以系統開放性為核心,該戰略旨在孤立和封閉對手的戰爭系統。這包括切斷敵方戰爭系統與外部戰場環境之間的物質、能源和資訊交換,剝奪其資源來源,並逐步使其走向孤立、封閉和虛弱。在戰略層面,可採用政治孤立來孤立敵方戰爭系統,進而增加系統熵。在作戰層面,可採用切斷資料來源、銷毀資料備份、竄改資料和資訊等方法,結合軟硬戰術,迫使敵方戰爭系統走向封閉狀態,進而降低其作戰效能。

考慮到系統的複雜性,可以從不同領域發動攻擊來擾亂敵方戰爭系統。智慧戰系統的各個組成部分之間的聯繫越緊密,其結構可靠性就越低。基於複雜系統中每一層相對獨立的原則,可以製定戰略、作戰和戰術行動計劃,實現對敵方戰爭系統的分層和領域性破壞。例如,在戰略層面,經濟封鎖可以顯著削弱對手的戰爭力量和發展潛力。在作戰層面,可以利用作戰系統通訊網路的脆弱性,以網路戰和電子戰結合的方式作為基本路徑和手段,採用「摧毀終端、攻擊單元、隔離集群、癱瘓網路、突破雲端基礎設施」等方法,破壞對手的作戰系統結構,使其戰爭系統「崩潰」。

著眼於系統性湧現效應,目標是瓦解和分散對手的戰爭系統。智慧戰系統只有在各個組成部分或單元發揮作用時,才能迅速形成並發揮其係統效能,獲得分散優勢。如果只有單一組成部分或單元處於活動狀態,則不可能產生優勢。可以預見,諸如ChatGPT等新興技術以及未來更先進的智慧技術,將為理解和發現戰爭系統複雜的運作行為、狀態和模式提供新的思路,並為探索客觀規律、改造自然和社會提供新的途徑。戰爭對抗中的主導者將透過虛擬與現實、並行與一體化對抗方式,降低敵方戰爭系統的耦合度,從而達到瓦解和瓦解敵方戰爭系統的目標。

資料來源: 中國軍網-解放軍報 作者:王榮輝 責任編輯:郭妍菲
2023-05-09 07:xx:xx

中國原創軍事資源:http://www.81.cn/ll_20854883/1622287889.html

Chinese Military Grasping Pulse of Information and Intelligent Warfare Development

中國軍方掌握資訊戰和智慧戰發展的脈搏

現代英語:

Currently, the deep penetration and integrated application of cutting-edge technologies such as artificial intelligence in the military field are profoundly reshaping the form of warfare and driving the evolution of informationized and intelligent warfare to a higher and more complex level. This process brings new challenges, such as the full-dimensional expansion of the operational space, but also contains the enduring underlying logic of the essential laws of warfare. We must deeply analyze the evolutionary mechanism of informationized and intelligent warfare, understand and clarify the specific manifestations of the new challenges and underlying logic, and continuously explore the practical paths and winning principles for strategizing future warfare.

Recognizing the new challenges that information technology and intelligent technology bring to warfare

Technological iteration and upgrading have driven profound changes in combat styles, which in turn bring new challenges. Currently, with the accelerated development of information and intelligent technologies, the form of warfare is showing significant changes such as cross-domain integration, system confrontation, and intelligent dominance, thereby giving rise to new challenges such as mixed-domain nature, intelligence, and all-personnel involvement.

The Challenges of Multi-Domain Operations. In future warfare, the physical boundaries of traditional operational domains will be broken, with information and social domains deeply nested, forming a new type of battlefield characterized by multi-domain coordination. This multi-dimensional battlefield environment presents two challenges to current combat systems. First, system compatibility is difficult. In a multi-domain operational environment, combat operations “span” multiple physical and virtual spaces, while traditional combat systems are often built based on specific operational domains, making seamless compatibility of their technical standards and information interfaces difficult. Second, command and control are highly complex. In informationized and intelligent warfare, combat operations unfold simultaneously or alternately across multiple dimensions, with various demands exhibiting non-linear, explosive, and multi-domain characteristics. Traditional, hierarchical, tree-like command structures are ill-suited to handle this complex multi-domain coordination situation.

The Challenges of Intelligence. The deep integration of technologies such as artificial intelligence into the war decision-making and action chain presents new challenges to traditional decision-making models and action logic. On the one hand, defining the boundaries and dominance of human-machine collaboration is challenging. Intelligent systems demonstrate superior capabilities in information processing, decision support, and even autonomous action, but over-reliance on algorithms can lead to a “decision black box”; excessive restrictions on machine intelligence may result in the loss of the speed and efficiency advantages of intelligent algorithms. Therefore, how to construct a human-machine symbiotic, human-led, and intelligence-assisted decision-making model has become an unavoidable “test” in winning informationized and intelligent warfare. On the other hand, the complexity and vulnerability of algorithmic warfare are becoming increasingly prominent. The higher the level of intelligence in warfare, the stronger the dependence on core algorithms. Adversaries may launch attacks through data pollution, model deception, and network intrusion, inducing intelligent systems to misjudge and fail. This kind of “bottom-up” attack based on algorithmic vulnerabilities is far more covert and destructive than traditional methods, placing higher demands on the construction and maintenance of defense systems.

A challenge affecting all personnel. Informationized and intelligent warfare blurs the lines between wartime and peacetime, front lines and rear areas. Combat operations are no longer confined to professional soldiers and traditional battlefields; non-military sectors such as economics, finance, and technology, along with related personnel, may all be integrated into modern combat systems to varying degrees, bringing entirely new challenges. Specifically, non-military sectors may become new focal points of offense and defense. In an information society, critical infrastructure such as energy networks, transportation hubs, and information platforms are highly interconnected and interdependent, with broad social coverage and significant influence, making them prime targets for attack or disruption in hybrid warfare, thus significantly increasing the difficulty of protection. The national defense mobilization system faces transformation pressure. The traditional “peacetime-wartime conversion” model is ill-suited to the demands of high-intensity, fast-paced, and high-consumption informationized and intelligent warfare. There is an urgent need to build a modern mobilization mechanism that is “integrated in peacetime and wartime, military-civilian integrated, precise, and efficient,” ensuring the rapid response and efficient transformation of core resources such as technological potential, industrial capabilities, and professional talent.

Clarifying the underlying logic of information-based and intelligent warfare

Although the development of information and intelligent technologies has profoundly reshaped the mode of force application, the inherent attributes of war have not been fundamentally shaken. Ensuring that strategy follows policy, adhering to the principle that people are the decisive factor, and recognizing that the “fog of war” will persist for a long time are still key measures for us to understand, plan, and respond to future wars.

Strategic subordination with political strategy is paramount. Currently, the proliferation of new technologies and attack methods easily fosters “technocentrism”—when algorithms and computing power are seen as the key to victory, and when technological superiority in equipment is considered an absolute advantage, military operations risk deviating from the political and strategic trajectory. This necessitates that we always integrate military operations within the overall national political framework, ensuring that technological advantages serve strategic objectives. Under informationized and intelligent conditions, strategic subordination with political strategy transcends the purely military level, requiring precise alignment with core national political goals such as diplomatic maneuvering and domestic development and stability. Therefore, it is essential to clearly define the boundaries, intensity, and scope of information and intelligent means of application, avoid significant political and strategic risks arising from the misuse of technology, and strive for a dynamic unity between political objectives and military means.

The decisive factor remains human. While intelligent technology can indeed endow weapons with superior autonomous perception and decision-making capabilities, the ultimate control and winning formula in war always firmly rests in human hands. Marxist warfare theory reveals that regardless of how warfare evolves, humans are always the main actors and the ultimate decisive force. Weapons, as tools, ultimately rely on human creativity in their effective use. Therefore, facing the wave of informationized and intelligent warfare, we must achieve deep integration and synchronous development of human-machine intelligence, building upon a foundation of human dominance. Specifically, intelligentization must not only “transform” things—improving equipment performance—but also “transform” people—enhancing human cognitive abilities, decision-making levels, and human-machine collaborative efficiency, ensuring that no matter how high the “kites” of intelligent equipment fly, humanity always firmly grasps the “control chain” that guides their development.

Recognizing the persistent nature of the “fog of war,” while information technology has significantly improved battlefield transparency, technological means can only reduce the density of the “fog,” not completely dispel it. The fundamental reason is that war is a dynamic game; the deception generated by the continuous strategic feints and other maneuvers employed by opposing sides transcends the scope of mere technological deconstruction, possessing an inherent unpredictability. Therefore, we must acknowledge the perpetual nature of the “fog of war” and employ appropriate measures to achieve the goal of “reducing our own fog and increasing the enemy’s confusion.” Regarding the former, we must strengthen our own reconnaissance advantages by integrating multi-source intelligence, including satellite reconnaissance, drone surveillance, and ground sensors, to achieve a real-time dynamic map of the battlefield situation. Regarding the latter, we must deepen the enemy’s decision-making dilemma by using techniques such as false signals and electronic camouflage to mislead their intelligence gathering, forcing them to expend resources in a state of confusion between truth and falsehood, directly weakening their situational awareness.

Exploring the winning factors of information-based and intelligent warfare

To plan for future wars, we must recognize the new challenges they bring, follow the underlying logic they contain, further explore the winning principles of informationized and intelligent warfare, and work hard to strengthen military theory, make good strategic plans, and innovate tactics and methods.

Strengthening theoretical development is crucial. Scientific military theory is combat power, and maintaining the advancement of military theory is essential for winning informationized and intelligent warfare. On the one hand, we must deepen the integration and innovation of military theory. We must systematically integrate modern scientific theories such as cybernetics, game theory, and information theory, focusing on new combat styles such as human-machine collaborative operations and cross-domain joint operations, to construct an advanced military theoretical system that is forward-looking, adaptable, and operable. On the other hand, we must adhere to practical testing and iterative updates. We must insist on linking theory with practice, keenly observing problems, systematically summarizing experiences, and accurately extracting patterns from the front lines of military struggle preparation and training, forming a virtuous cycle of “practice—understanding—re-practice—re-understanding,” ensuring that theory remains vibrant and effectively guides future warfare.

Strategic planning is crucial. Future-oriented strategic planning is essentially a proactive shaping process driven by technology, driven by demand, and guaranteed by dynamic adaptation. It requires a broad technological vision and flexible strategic thinking, striving to achieve a leap from “responding to war” to “designing war.” First, we must anticipate technological changes. We must maintain a high degree of sensitivity to disruptive technologies that may reshape the rules of war and deeply understand the profound impact of the cross-integration of various technologies. Second, we must focus on key areas. Emerging “high frontiers” such as cyberspace, outer space, the deep sea, and the polar regions should be the focus of strategic planning, concentrating on shaping the rules of operation and seizing advantages to ensure dominance in the invisible battlefield and emerging spaces. Third, we must dynamically adjust and adapt. The future battlefield is constantly changing and full of uncertainty. Strategic planning cannot be a static, definitive text, but rather a resilient, dynamic framework. We must assess the applicability, maturity, and potential risks of various solutions in conjunction with reality to ensure that the direction of military development is always precisely aligned with the needs of future warfare.

Promoting Tactical Innovation. Specific tactics serve as a bridge connecting technological innovation and combat operations. Faced with the profound changes brought about by informationized and intelligent warfare, it is imperative to vigorously promote tactical innovation and explore “intelligent strategies” adapted to the future battlefield. On the one hand, it is necessary to deeply explore the combat potential of emerging technologies. We should actively explore new winning paths such as “algorithms as combat power,” “data as firepower,” “networks as the battlefield,” and “intelligence as advantage,” transforming technological advantages into battlefield victories. On the other hand, it is necessary to innovatively design future combat processes. Various combat forces can be dispersed and deployed across multiple intelligent and networked nodes, constructing a more flattened, agile, and adaptive “observation-judgment-decision-action” cycle. Simultaneously, we must strengthen multi-domain linkage, breaking down inherent barriers between different services and combat domains, striving to achieve cross-domain collaboration, system-wide synergy, autonomous adaptation, and dynamic reorganization, promoting the overall emergence of combat effectiveness.

現代國語:

目前,人工智慧等尖端技術在軍事領域的深度滲透與融合應用,正深刻重塑戰爭形態,推動資訊化、智慧化戰爭朝向更高、更複雜的層面演進。這個過程帶來了作戰空間全方位擴展等新挑戰,同時也蘊含著戰爭基本法則的持久邏輯。我們必須深入分析資訊化、智慧化戰爭的演進機制,理解並釐清新挑戰的具體表現及其內在邏輯,不斷探索未來戰爭戰略的實踐路徑與勝利原則。

認識資訊科技和智慧科技為戰爭帶來的新挑戰

技術的迭代升級推動了作戰方式的深刻變革,進而帶來了新的挑戰。目前,隨著資訊科技與智慧科技的加速發展,戰爭形態呈現出跨域融合、系統對抗、智慧主導等顯著變化,由此產生了混合域作戰、智慧化作戰、全員參與等新挑戰。

多域作戰的挑戰。在未來的戰爭中,傳統作戰領域的物理邊界將被打破,資訊領域和社會領域將深度交織,形成以多域協同為特徵的新型戰場。這種多維戰場環境對現有作戰系統提出了兩大挑戰。首先,系統相容性面臨挑戰。在多域作戰環境中,作戰行動「跨越」多個實體和虛擬空間,而傳統作戰系統通常基於特定的作戰領域構建,難以實現技術標準和資訊介面的無縫相容。其次,指揮控制高度複雜。在資訊化和智慧化戰爭中,作戰行動在多個維度上同時或交替展開,各種需求呈現出非線性、爆發性和多域性的特徵。傳統的層級式、樹狀指揮結構難以應付這種複雜的多域協同局面。

情報的挑戰。人工智慧等技術深度融入戰爭決策和行動鏈,對傳統的決策模型和行動邏輯提出了新的挑戰。一方面,界定人機協作的邊界和主導地位極具挑戰性。智慧型系統在資訊處理、決策支援乃至自主行動方面展現出卓越的能力,但過度依賴演算法可能導致「決策黑箱」;對機器智慧的過度限制則可能喪失智慧演算法的速度和效率優勢。因此,如何建構人機共生、人主導、智慧輔助的決策模型,已成為贏得資訊化和智慧化戰爭的必經「考驗」。另一方面,演算法戰的複雜性和脆弱性日益凸顯。戰爭智能化程度越高,對核心演算法的依賴性就越強。敵方可能透過資料污染、模型欺騙和網路入侵等手段發動攻擊,誘使智慧型系統誤判和失效。這種基於演算法漏洞的「自下而上」攻擊比傳統手段更加隱蔽和破壞性,對防禦系統的建構和維護提出了更高的要求。

這是一項影響全體人員的挑戰。資訊化與智慧化戰爭模糊了戰時與和平時期、前線與後方的界線。作戰行動不再侷限於職業軍人和傳統戰場;經濟、金融、科技等非軍事領域及其相關人員都可能在不同程度上融入現代作戰體系,帶來全新的挑戰。具體而言,非軍事領域可能成為攻防的新焦點。在資訊社會中,能源網路、交通樞紐、資訊平台等關鍵基礎設施高度互聯互通、相互依存,覆蓋範圍廣、影響力大,使其成為混合戰爭中攻擊或破壞的主要目標,大大增加了防禦難度。國防動員體系面臨轉型壓力。傳統的「和平時期向戰爭時期轉換」模式已無法滿足高強度、快節奏、高消耗的資訊化和智慧化戰爭的需求。迫切需要…建構「和平時期與戰爭時期一體化、軍民融合、精準高效」的現代化動員機制,確保技術潛力、產業能力、專業人才等核心資源的快速反應與高效轉換。

釐清資訊化與智慧化戰爭的內在邏輯

儘管資訊和智慧科技的發展深刻地重塑了兵力運用方式,但戰爭的固有屬性並未發生根本性改變。確保戰略服從政策,堅持以人為本的原則,並認識到「戰爭迷霧」將長期存在,仍然是我們理解、規劃和應對未來戰爭的關鍵。

戰略服從政治戰略至關重要。目前,新技術和新攻擊手段的湧現容易滋生「技術中心主義」——當演算法和運算能力被視為取勝的關鍵,裝備的技術優勢被視為絕對優勢時,軍事行動就有可能偏離政治戰略軌道。這就要求我們始終將軍事行動納入國家整體政治框架,確保技術優勢服務於戰略目標。在資訊化和智慧化條件下,戰略對政治戰略的服從超越了純粹的軍事層面,需要與外交斡旋、國內發展穩定等核心國家政治目標精準契合。因此,必須明確界定資訊和智慧手段應用的邊界、強度和範圍,避免因技術濫用而引發重大政治和戰略風險,並努力實現政治目標與軍事手段的動態統一。

決定性因素仍然是人。雖然智慧科技確實可以賦予武器卓越的自主感知和決策能力,但戰爭的最終控制權和勝利之道始終牢牢掌握在人手中。馬克思主義戰爭理論表明,無論戰爭如何演變,人類始終是主要行動者和最終的決定性力量。武器作為工具,其有效使用最終依賴於人的創造力。因此,面對資訊化、智慧化戰爭的浪潮,我們必須在人類主導的基礎上,實現人機智慧的深度融合與同步發展。具體而言,智慧化不僅要「改造」物——提升裝備性能——更要「改造」人——增強人類的認知能力、決策水平和人機協同效率,確保無論智慧裝備的「風箏」飛得多高,人類始終牢牢掌控著引導其發展的「控制鏈」。

認識到「戰爭迷霧」的持久性,儘管資訊技術顯著提升了戰場透明度,但技術手段只能降低「迷霧」的密度,而無法徹底驅散它。根本原因在於戰爭是一場動態賽局;交戰雙方不斷進行的戰略佯攻和其他戰術動作所產生的欺騙性,遠非簡單的技術解構所能及,具有固有的不可預測性。因此,我們必須正視「戰爭迷霧」的永恆性,並採取適當措施,實現「減少自身迷霧,增加敵方混亂」的目標。就前者而言,我們必須整合衛星偵察、無人機監視、地面感測器等多源情報,強化自身偵察優勢,以實現戰場態勢的即時動態測繪。就後者而言,我們必須運用假訊號、電子偽裝等手段,誤導敵方情報蒐集,使其在真假難辨的狀態下耗費資源,從而直接削弱其態勢感知能力,加深敵方決策困境。

探索資訊化、智慧化戰爭的勝利要素

為因應未來戰爭,我們必須體認到戰爭帶來的新挑戰,掌握其內在邏輯,進一步探索資訊化、智慧化戰爭的勝利原則,努力加強軍事理論建設,制定完善的戰略規劃,並創新戰術方法。

加強理論發展至關重要。科學的軍事理論就是戰鬥力,維持軍事理論的進步是贏得資訊化、智慧化戰爭的關鍵。一方面,我們必須深化軍事理論的整合與創新,有系統地將現代科學融入軍事理論。

運用控制論、博弈論、資訊理論等理論,著重研究人機協同作戰、跨域聯合作戰等新型作戰方式,建構前瞻性、適應性和可操作性的先進軍事理論體系。另一方面,必須堅持實戰檢驗、迭代更新。必須堅持理論與實踐結合,敏銳觀察問題,系統總結經驗,準確提煉軍事鬥爭前線備戰訓練中的規律,形成「實踐—理解—再實踐—再理解」的良性循環,確保理論保持活力,有效指導未來戰爭。

策略規劃至關重要。面向未來的策略規劃本質上是一個由技術驅動、需求驅動、動態調適保障的主動塑造過程。它需要廣闊的技術視野和靈活的戰略思維,力求實現從「應對戰爭」到「設計戰爭」的飛躍。首先,我們必須預見技術變革。我們必須對可能重塑戰爭規則的顛覆性技術保持高度敏感,並深刻理解各種技術交叉融合的深遠影響。其次,我們必須聚焦重點領域。網路空間、外太空、深海、極地等新興「高前沿」應成為戰略規劃的重點,著力塑造作戰規則,奪取優勢,確保在無形戰場和新興空間佔據主導地位。第三,我們必須動態調整與適應。未來的戰場瞬息萬變,充滿不確定性。策略規劃不能是一成不變的固定文本,而應是一個具有韌性的動態架構。我們必須結合實際情況,評估各種解決方案的適用性、成熟度和潛在風險,確保軍事發展方向始終與未來戰爭的需求精準契合。

推進戰術創新。具體戰術是連結技術創新與作戰行動的橋樑。面對資訊化、智慧化戰爭帶來的深刻變革,必須大力推動戰術創新,探索適應未來戰場的「智慧戰略」。一方面,要深入挖掘新興技術的作戰潛力,積極探索「演算法即戰力」、「數據即火力」、「網路即戰場」、「情報即優勢」等新的致勝路徑,將技術優勢轉化為戰場勝利。另一方面,要創新地設計未來作戰流程,使各類作戰力量分散部署於多個智慧化、網路化的節點,建構更扁平、更敏捷、適應性更強的「觀察-判斷-決策-行動」循環。同時,要加強多域連結,打破不同軍種、不同作戰域之間的固有壁壘,力爭實現跨域協同、系統協同、自主適應、動態重組,進而提升整體作戰效能。

(編:任嘉慧、彭靜)

李书吾 丁 盛

2026年01月27日0x:xx | 来源:解放军报

中國原創軍事資源:https://military.people.com.cn/n1/2026/08127/c10811-4808868538648.html

中國網絡衝突討論,信息與研究 // Chinese Cyber Conflict Discussions, Information & Research