Defeating dozens of top Go players in a man-machine battle, defeating a retired US Air Force pilot in a simulated air combat… In recent years, artificial intelligence has been like an omnipotent “magician”, creating endless miracles, shocking many people and constantly refreshing people’s imagination.
As a technical science dedicated to simulating, extending and expanding human intelligence, artificial intelligence has long surpassed scientists’ initial imagination and entered a “booming period” of rapid development. It is profoundly changing the way of production and life of human beings, and promoting the social form to accelerate from digitalization and networking to intelligence. At the same time, the widespread use of artificial intelligence technology in the military field will fundamentally change the winning mechanism and combat methods of modern warfare, give birth to new combat means and combat ideas, and promote the war form to accelerate into the intelligent era.
In intelligent warfare, intelligent equipment, intelligent command, intelligent maintenance, and intelligent combat methods are all conceivable – “fake news” created by artificial intelligence is everywhere in the entire process of war preparation, conduct and conclusion, and it is “false and true”; the role of inanimate intelligent entities and robot fighters in intelligent warfare is prominent, and artificial intelligence combat forces such as “cloud brain”, “digital staff” and “virtual warehouse” used for information support, command and control, effect evaluation and logistics support will play an increasingly important role in future wars. Intelligent machines and intelligent weapons will become the main force on future battlefields; remote and precise Specific, miniaturized, and large-scale unmanned attacks will become the main form of attack. “Man-to-man” warfare will expand to “machine autonomous warfare” warfare; intelligent swarm attrition warfare, cross-domain mobile warfare, and cognitive control warfare will become basic combat types; decentralized deployment of humans and machines, autonomous coordination, and concentrated energy offensive and defensive operations will become the basic principles of cross-domain integration and global operations; the “observation-judgment-decision-action” link will be greatly shortened, the combat rhythm will be faster, the actions will be more precise, and the efficiency will be higher; upgrading and training artificial intelligence systems and various unmanned combat platforms through continuous confrontation exercises will become an important way to enhance combat effectiveness. Intelligence will surpass firepower, mobility, and information power and become the most critical factor in determining the outcome of a war. As a result, the meaning of battlefield control will need to be redefined, new topics will be added to international arms negotiations, and textbooks on intimidation theory will need to be rewritten.
The world’s military powers, represented by the United States, have foreseen the broad application prospects of artificial intelligence technology in the military field. They believe that future wars will be intelligent wars and future arms competitions will be intelligent competitions. They have also laid out a series of research plans in advance, hoping to seize the initiative in the military application of artificial intelligence and strive to open up a “generation gap” with potential opponents. In recent years, NASA, the Department of Defense and various military services have deployed a series of artificial intelligence technology research projects in the military field. The U.S. Department of Defense has also proposed the establishment of a “Joint Artificial Intelligence Center” to jointly promote artificial intelligence projects with the U.S. military and 17 intelligence agencies, and coordinate the planning and construction of an intelligent military system supported by military technology and military applications. Russia also sees artificial intelligence as the commanding heights of future military competition. The Russian military is stepping up the development of humanoid robots that can drive vehicles and build robot troops that can fight side by side with human soldiers. Russian President Vladimir Putin said: “Artificial intelligence is not only the future of Russia, but also the future of all mankind. It contains huge opportunities and threats that are difficult to predict today.” Countries such as the United Kingdom, Japan, Australia, South Korea, and India are also increasingly paying attention to the development and application of artificial intelligence in the military field.
Today, the pace of military application of artificial intelligence may be difficult to stop. Faced with the new situation, we need to firmly grasp the major historical opportunities for the development of artificial intelligence, judge the general trend, take the initiative to plan, grasp the direction, seize the initiative, and effectively safeguard national security. At the same time, from the perspective of the future and destiny of mankind, the international community should establish a mechanism to prevent the excessive military application of artificial intelligence as soon as possible. After all, the power of human beings to create civilization should not become a tool to destroy civilization, and scientific and technological progress should be a blessing for the benefit of mankind, rather than a death knell that threatens human survival and development.
Through the smoke of war, we can see that today’s war has evolved from the bloody fights of ignorant barbarism and the battles of conquering cities to the precise beheadings dominated by information and the fierce competition on the battlefield of intelligence. This objective fact tells us that war, as a specific complex social phenomenon, will present different war forms and winning mechanisms in different historical periods. As American futurist Alvin Toffler pointed out, “artificial intelligence is like the missiles and satellites before. Whether you are prepared or not, it will enter the historical stage of human civilization war.” President Xi Jinping clearly pointed out: “If we do not understand the winning mechanism of modern warfare, we will only be able to see through a mirror and miss the point.” The winning mechanism of war refers to the way in which various factors of war play a role in order to win the war, as well as the laws and principles of their mutual connection and interaction. Compared with the traditional information warfare, the winning mechanism of future intelligent warfare has undergone significant changes.
The confrontation mode has changed from “system confrontation” to “algorithm game”, and the algorithm advantage dominates the war advantage
Algorithms are strategic mechanisms for solving problems. In fact, “algorithms” are a series of clear instructions for solving problems, and are clear steps to solve a certain type of problem according to certain rules. In future wars, the side that has the advantage of algorithms will be able to quickly and accurately predict battlefield situations, innovate the best combat methods, and achieve the war goal of “winning before fighting.”
Algorithms are the key to dominating intelligent warfare. First, algorithmic advantage dominates cognitive advantage. After big data is processed by high-performance and efficient algorithms, massive amounts of data are quickly converted into useful intelligence. Therefore, the party with algorithmic advantage can dispel the “battlefield fog” caused by the failure to process data in a timely manner, making cognition more profound. Second, algorithmic advantage dominates speed advantage. Compared with classical algorithms, quantum algorithms have achieved an exponential acceleration effect. In addition, quantum computers have increased from 1 quantum bit in 2003 to 1,000 quantum bits in 2015, and their computing efficiency is 100 million times faster than that of classical computers, making artificial intelligence a qualitative leap. Third, algorithmic advantage dominates decision-making advantage. With its high-speed and accurate calculations, the algorithm replaces human “deep thinking” and repeated exploration, thereby accelerating knowledge iteration. Mastering super-powerful algorithms can quickly propose flexible and diverse combat plans and countermeasures in response to changes in the enemy’s situation, constantly disrupting the enemy’s established intentions and deployments.
Algorithms are the core of the leap in war effectiveness. First, wars are more efficient. With the support of algorithms, the reaction speed of artificial intelligence is hundreds or thousands of times that of humans. In 2016, the “Alpha” intelligent software developed by the United States reacted 250 times faster than humans and controlled a third-generation aircraft to defeat a manned fourth-generation aircraft in a simulated air battle. Second, war endurance is stronger. Artificial intelligence is not limited by physiological functions and can continuously perform repetitive and mechanical tasks. In September 2016, an F-16 fighter jet reached 8 times the gravity overload during training, causing the pilot to lose consciousness. However, before the aircraft hit the ground, the onboard “automatic collision avoidance system” automatically pulled the aircraft up, avoiding the tragedy. Third, the war ends better. With the support of massive data and supercomputing capabilities, AI’s judgment and prediction results are more accurate. The US military’s search and killing of Osama bin Laden, which combined manned and unmanned equipment, is a successful example.
The elements of combat are changing from “information-led” to “machine-led”, and machine-led combat is reshaping the combat process.
In the future, intelligent technology will penetrate all elements and processes of war. The Internet of Things, the Internet of Intelligence and the Internet of Brains will become the foundation of war. The four domains of physical domain, information domain, cognitive domain and social domain will be deeply integrated, making the battlefield holographically transparent, with humans controlling the war and no humans fighting on the battlefield. Intelligent weapons and equipment will reshape the combat process from “sensor to shooter”.
Smart eyes “detect”. “Detection” means intelligent intelligence detection. It can virtualize collaborative networking, self-organized dynamic scheduling, automatic multi-source intelligence mining, and order-based on-demand use of multi-dimensional sensors such as land, sea, air, space, and electricity, to the greatest extent possible to dispel the “war fog” caused by insufficient or redundant information and open the “smart eyes” to see through intelligent warfare.
Loop “control”. “Control” refers to intelligent command and control. Focusing on the core of decision-making advantage, the “man-in-the-loop” human-machine collaborative technology is used. According to the autonomy of the machine, three decision-making and control methods are adopted: “man-in-the-loop”, “man-on-the-loop” and “man-out-of-the-loop”, to form a comprehensive advantage with superior decision-making quality and action speed.
Intelligent “fighting”. “Fighting” means intelligent offensive and defensive operations. Relying on the advantages of system structure and algorithm, it mobilizes multi-dimensional, manned and unmanned combat platforms in real time, quickly couples combat forces, builds combat systems on demand, focuses on targets, and independently implements “distributed” and “swarm” collaborative operations. After the battle, it quickly decouples and waits for battle, so that the troops are in a state of flux and gather and disperse at random. At the end of 2015, Russia deployed 6 tracked unmanned combat vehicles, 4 wheeled unmanned combat vehicles and 1 drone to support the Syrian government forces in their assault on the strongholds of Islamic extremist forces, and won the world’s first offensive battle dominated by unmanned combat vehicles. About 70 extremist militants were killed in the battle, while only 4 Syrian government forces were injured.
The decision-making method changes from “human brain decision-making” to “intelligent decision-making”, and intelligent decision-making optimizes combat operations
With the emergence of intelligent decision-making technology and “cloud brain”, “digital staff” and “virtual warehouse”, war decision-making has evolved from simple human brain decision-making to human-machine hybrid decision-making, cloud brain intelligent decision-making and neural network decision-making.
Human-machine hybrid decision-making. Reasonable division of labor and interactive collaboration between humans and machines is the best solution to explore and solve problems. The advantages of the human brain lie in creativity, flexibility, and initiative; the advantages of machines lie in speed, high precision, and fatigue resistance. High-level decision-making and other highly artistic tasks are handled by the human brain, while big data calculations are completed by machines. Human-machine interaction enables machines to “listen” to human language, “see” human movements and expressions, and “understand” human emotions and intentions, and present the calculation process and results in a way that is easy for people to understand.
Cloud brain intelligent decision-making. In the future intelligent warfare, there will be a metaphorical center of “brain”, and distributed combat units will be linked through the cloud brain. This cloud brain is not only a physical information, physiological information and psychological information center, but also a military command center. Cloud brain decision-making is based on the intelligent “network, cloud, terminal” system. “Network” is an intelligent combat infrastructure network that integrates intelligent battlefield perception, decision-making and weapon control systems. “Cloud” is built on the “network” and is based on the intelligent resource service layer. It is not only a “resource pool” that integrates various combat resources, but also an “intelligent cloud” that provides intelligent services for combat operations. Due to the coupling of multiple centers, networking and decision-making can be quickly established even if it is bombarded with information. “End” refers to the combat resource end. The discrete intelligence and networked intelligence in the combat process can not only make autonomous decisions, but also provide distributed intelligent resources for the war system, enabling the new war system to emerge with collective intelligence.
Neural network decision-making. In July 2018, Russia developed fully automatic artificial neural network software that can destroy as soon as it is found. The intelligent decision-making tool developed by the US military aims to shorten the decision-making cycle and improve decision-making efficiency. The application of neural networks was once limited to tactical-level calculations, and it was difficult to make qualitative analysis and decisions on macroscopic and complex strategic situations. “AlphaGo” has made a breakthrough in the field of Go by simulating the working mechanism of human brain neural networks. In the future, the super self-evolution and strategic decision-making capabilities of deep neural networks will realize the “man-out-of-the-loop” combat cycle.
The combat style has changed from “breaking the chain and destroying the body” to “extreme combat”, which subverts traditional combat methods.
Extreme warfare has broken through the boundaries of traditional warfare, overturned traditional combat patterns, greatly increased the effectiveness of warfare, and brought about truly all-weather, all-time, all-dimensional, and all-domain intelligent warfare.
Break through the limits of human physiology and thinking. First, the combat space and domain are greatly expanded. In the future, intelligent combat will be three-dimensional, full-dimensional, and full-domain combat. The combat space will expand from the traditional space domain to the extremes of the polar regions, deep sea, and space, especially to the cognitive domain and information domain. Penetrate and penetrate other domains, and the combat domain will become more blurred. Second, the combat process is greatly accelerated. Unmanned autonomous combat greatly compresses the “observation-judgment-decision-action” cycle, and develops from the “instant destruction” of information warfare to the “instant destruction” of intelligent warfare. The victory of intelligent warfare is achieved by advancing the warning time, shortening the decision-making time, and extending the combat actions forward, so as to achieve the effect of preemptive layout and preemptive strike. Third, combat actions are extremely flexible. In intelligent warfare, artificial intelligence can propose extremely rich combat plans, and unmanned combat platforms can quickly switch between different functional roles, making combat actions more bold and adventurous, and tactics more unexpected. Even if one of the combat elements loses its function, the “decentralized” function will ensure that the group function is not affected.
Subvert the traditional combat style. The first is invasive lone wolf combat. That is, a single unmanned system fights independently. The second is manned and unmanned collaborative system sabotage warfare. That is, based on intelligent unmanned systems, through mixed combat with manned and unmanned equipment, the combat objectives can be quickly achieved. The third is the independent combat of unmanned system formations. Multiple unmanned systems constitute combat units, which can perform complex tasks such as multi-target attacks. The fourth is mother ship swarm cluster combat. With the mother ship as the transport carrier and command center, a manned and unmanned mixed cluster combat style is formed.
It has the combat effectiveness of “nuclear power”. Intelligent warfare has brought the characteristics and potential of intelligent robots to the extreme, resulting in combat effectiveness close to the limit. First, the target is small and difficult to detect. For example, miniaturized stealth robots are difficult to detect by radar and sound. The hybrid drone embedded with the “optical electrode” chip in the “Dragonfly” by the United States is smaller, lighter and more stealthy, with a flight time of up to several months. Second, it is difficult to confront and the cost is high. For example, a beetle-sized micro-drone can directly crash into the target’s head as long as it scans the human face, and the ammunition it carries is enough to penetrate the brain. Third, the cost is low and the damage is great. In the future, the use of intelligent weapons in extreme combat will have the power of nuclear weapons, especially the extremely large-scale intelligent weapon equipment, extremely low-cost robot automatic production, and extremely flexible robot swarm combat, which may surpass the maximization of nuclear weapon explosion power.
Artificial intelligence technology is an important support for improving strategic capabilities in emerging fields. In recent years, it has developed rapidly and has been widely used in the military field, constantly giving rise to new asymmetric advantages, and profoundly changing the basic form, combat methods and winning mechanisms of future wars. We should have a deep understanding of artificial intelligence as a revolutionary technological driving force, accurately recognize changes, respond to changes scientifically, and actively seek changes, strive to explore ways to win future wars, and gain the initiative in the accelerating intelligent war.
Information mechanism
Knowing yourself and the enemy will ensure victory in a hundred battles. Quickly and effectively mastering all-round information is the primary prerequisite for winning a war. Artificial intelligence can realize intelligent perception of battlefield situations, intelligent analysis of massive data, and intelligent processing of multiple information, and can form a “transparent” advantage on the battlefield.
Autonomous implementation of battlefield perception. By embedding intelligent modules into the wartime reconnaissance system, various reconnaissance node units can realize random networking, ad hoc coordination, and organic integration, and can autonomously capture battlefield information in all directions and dimensions, build a relatively “transparent” digital battlefield environment and combat situation, and then dispel the “fog” of war and present the combat scene in a panoramic manner.
Accurately identify massive amounts of data. Relying on intelligent technologies such as precise sensing technology and analytical recognition technology, it accurately judges, analyzes, compares, and integrates diversified voice, text, pictures, videos, and other data to obtain faster, more complete, more accurate, and deeper battlefield situation results, far exceeding the speed and accuracy of human brain processing.
Efficient response to key information. Based on intelligent technologies such as combat cloud, big data, and the Internet of Things, it can quickly discover large quantities of non-standardized and heterogeneous intelligence data, autonomously discover symptoms, identify intentions, analyze trends, find patterns, and respond to commanders’ needs for key information in real time and accurately.
Synchronous sharing of integrated situation. The intelligent control system can optimize and integrate various reconnaissance and surveillance systems distributed in different spaces and frequency domains such as land, sea, air, space and radio networks, and play an important hub role in sharing information and unified cognition, building a situation based on “one picture”, “one network” and “one chain”, so that all combat units can synchronously share the required information from different spaces, distances and frequencies in all domains and at all times, realizing intelligent sharing.
Decision-making mechanism
Those who can plan for victory before the battle have made more calculations. Scientific and accurate decision-making is a prerequisite for winning a war. Artificial intelligence can conduct dynamic battlefield simulation and deduction, quickly give feasible decisions, greatly shorten the decision-making cycle of combat planning, and form a decision-making advantage.
Intelligent strategic situation analysis. The decision-making support system that incorporates artificial intelligence technology has functions such as information collection, query management, data processing, and correlation analysis. It can effectively break through the limitations of human analysis capabilities, maximize the separation of false and true, correlation verification, and link thinking, and automatically conduct big data analysis such as enemy situation, our situation, and battlefield environment, forming comparative data on related forces and weapons, which can efficiently assist combat commanders and help commanders quickly make combat decisions.
Intelligent optimization of combat plans. Relying on the intelligent combat simulation system, it automatically generates multiple sets of intuitive plans and programs based on the pre-input combat missions and strike target information, comprehensively evaluates their advantages and disadvantages and potential risks, and selects the plan that is most conducive to realizing the commander’s intention for the commander to make the final decision. After receiving the combat missions and target requirements from the superior, each combat unit will further screen the battlefield target information in combination with the tasks and requirements of its own level, and independently formulate the best plan and program at its own level to maximize combat effectiveness.
Intelligent prediction of decision-making effectiveness. The intelligent decision-making auxiliary system relies on intelligent technologies such as big data, high-performance computing, and neural network algorithms to give the command and control system a more advanced “brain-like” ability, which can think more rationally about unexpected situations on the battlefield and quickly come to a relatively objective combat result.
Power control mechanism
The dominant position is to control power by taking advantage of the situation. Seizing control power is the key factor to win the war. Artificial intelligence can “transplant” part of human intelligence to weapons, making the combination of humans and weapon systems more and more close. The deep interaction between humans and machines has changed the traditional control elements, endowed new control connotations, and can help gain new control advantages.
The dominance of the domain is expanding to the high frontier. In the future, highly intelligent unmanned systems will be able to carry out a variety of combat missions even in harsh conditions such as high temperature, extreme cold, high pressure, lack of oxygen, toxicity, radiation, and in extreme environments such as extreme height, extreme distance, extreme depth, extreme micro, extreme darkness, and extreme brightness. The competition for dominance of the combat domain and combat space will extend to the high frontier, the far frontier, and the deep frontier.
The right to control information is expanding to multiple means. The traditional way to seize the right to control information is to control the channels of information acquisition, processing, and distribution by attacking the enemy’s reconnaissance and early warning system and destroying its command and control system. However, information warfare under the guidance of artificial intelligence uses information itself as “ammunition”, and the means to seize the right to control information are more diverse.
The network control power is expanding to distributed. The network information system built based on intelligent technology provides a ubiquitous network “cloud” to aggregate battlefield resources of various terminals and provide services, which can realize modular organization and automatic reorganization of combat forces. The traditional purpose of disconnecting the network and destroying the chain by striking key nodes will no longer be achieved. It is inevitable to respond to the “decentralized” battlefield with an intelligent distributed strike mode.
The power to control the brain is expanding to new dimensions. Brain-like technology and simulation technology are gradually militarized, forming new areas of competition and confrontation. The focus has shifted from focusing on confrontation in the physical and information domains to more emphasis on influencing and controlling the opponent’s psychology. Technologies such as virtual reality and audio-visual synthesis can confuse the real with the fake. “Core attack” can quietly change the enemy’s command and control system algorithm. “Brain control” can directly control the enemy’s decision-making. By controlling and influencing the enemy’s psychology, thinking, and will, the goal of stopping and winning the war can be achieved at the lowest cost.
Mechanism of action
The key to victory in war is speed. Taking unexpected actions against the enemy is the key to victory in war. Artificial intelligence can improve the intelligence level of weapons and equipment, command and control systems, and action decisions, making mobile response capabilities faster and joint strike capabilities more accurate, creating a super action advantage.
The speed of action is “killed in seconds”. The intelligent combat system can see, understand, learn and think, effectively shortening the “OODA” cycle. Once an “opportunity” is found, it will use intelligently controlled hypersonic weapons, kinetic weapons, laser weapons, etc. to quickly “kill” the target at a long distance.
Action style is “unmanned”. “Unmanned + intelligent” is the future development direction of weapons and equipment. Low-cost unmanned vehicles, drones, unmanned submarines and other unmanned autonomous equipment, with the support of cluster autonomous decision-making systems, can plan the task division of each unit according to combat targets, and unmanned devices can accurately dock, autonomously combine, and covertly penetrate to carry out cluster saturation attacks on the enemy.
The action space is “fuzzy”. In future wars, using interference means to carry out soft strikes on the enemy’s intelligent combat systems and intelligent weapons, and using intelligent weapons to delay or influence the enemy’s decision-making and psychology will become the key to victory. Most of these actions are completed unconsciously or silently, presenting a “fuzzy” state where the enemy and us are invisible, the boundaries between the front and the rear are unclear, and it is difficult to distinguish between the visible and the invisible.
The action deployment is “stealth”. The intelligent command system and weapon equipment have bionic and stealth properties. As long as they are deployed in advance in possible combat areas during peacetime preparations or training exercises, they can be hidden and dormant and ready for combat. Once they are activated in time in wartime, they can launch a sudden attack on the enemy, which will help to quickly seize the initiative in the war.
System Mechanism
Five things and seven strategies determine victory or defeat. Future wars will be full-domain, full-system, full-element, full-process system confrontations, and a stable and efficient combat system is the basic support for winning the war. With the continuous expansion of the application of artificial intelligence in the military field, the combat system is becoming more and more intelligent, and the full-domain integrated combat system will produce a strong system advantage.
There are more means of “detection”. Intelligent combat clusters rely on network information systems to connect with various large sensors, electronic warfare systems and other human-machine interaction platforms, use the detection and perception equipment of each combat unit to obtain battlefield data, give play to the self-organizing characteristics of intelligent groups, strengthen real-time detection and support for joint combat systems and back-end intelligence analysis, and can achieve full-domain detection, joint early warning, and coordinated verification, forming a multi-dimensional, full-domain coverage of large-area joint detection intelligence system.
The scope of “control” is wider. The use of intelligent unmanned combat platforms can break through the logical limits of human thinking, the physiological limits of the senses, and the physical limits of existence, and replace humans to enter traditional life restricted areas such as the deep sea, space, polar regions, and strong radiation areas, and stay there for a long time to implement “unconventional warfare”, thereby further expanding the combat space and having the ability to continuously repel opponents in a wider range of fields.
The speed of “fighting” is faster. With the support of intelligent network information system, the intelligence chain, command chain and killing chain are seamlessly connected, the speed of information transmission, decision-making speed and action speed are accelerated simultaneously, and the intelligent combat units can be flexibly organized, autonomously coordinated and quickly strike. All of these make the time utilization efficiency extremely high and the battlefield response speed extremely fast.
The “evaluation” is more accurate. Using intelligent technologies such as experiential interactive learning and brain-like behavioral systems, the intelligent combat evaluation system can autonomously complete the collection, aggregation, grading and classification of multi-means action effect evaluation information, accurately perceive battlefield actions based on big data and panoramic images, dynamically identify combat processes and correct defects, predict complex battlefield changes, and make comprehensive plans and flexibly respond.
The “security” is more efficient. The widespread application of intelligent comprehensive security systems represented by equipment maintenance expert systems and intelligent sensing equipment can efficiently respond to security needs in various domains, intelligently plan security resources, and ensure that the “cloud” aggregates various battlefield resources, effectively improving the comprehensive security capabilities of the networked battlefield.
As a strategic technology leading a new round of scientific and technological revolution and industrial transformation, artificial intelligence is profoundly changing the form of modern warfare. Countries have taken a national strategic approach to Focus on the military field and develop artificial intelligence.
Currently, artificial intelligence is profoundly changing people’s thinking, lifestyles and exploration directions. Its application and development in the military field will also have a profound impact on future war fighting styles, combat spaces and means. While major countries have elevated artificial intelligence to a national strategy, they are also taking various measures to promote the military application of artificial intelligence.
Russia–
Highlight military priority
Focus on actual combat testing
As the importance of artificial intelligence technology gradually becomes apparent, Russia has listed artificial intelligence as a priority development area to promote military modernization and intelligence and compete for strategic commanding heights.
Russia has successively introduced strategic plans such as the “National Weapons and Equipment Plan 2018-2025” and the “National Artificial Intelligence Development Strategy before 2030”, and established the National Artificial Intelligence Center, the Robotics Technology Development Center, etc. to carry out theoretical and applied research in the fields of artificial intelligence and information technology.
The Russian military has currently developed and applied artificial intelligence technology in all combat domains on land, sea and air, and possesses a considerable scale of unmanned combat forces.
On land, China has unmanned combat vehicles represented by the “Uranus” series, “Platform-M” and “Argo” models. In the air, China has “Pomegranate”-4, “Fast Light Particle” short-range UAVs, “Sea Eagle”-10, “Outpost” and other medium-sized UAVs that perform reconnaissance, command and communication relay tasks. Underwater, China has in service large-scale “Harpsichord”-1R, small-scale “Marlin-350”, “Vision-600” micro-unmanned submarines, especially the “Poseidon” nuclear-powered unmanned submarine, which can carry a nuclear warhead with a TNT equivalent of 2 million tons.
Since 2015, the Russian army has formed combat robot companies in various military regions and fleets, equipped a large number of robots, and continuously organized artificial intelligence exercises. In addition, the Russian army has accelerated the research on combat theory and the development of new equipment systems, and conducted actual combat tests in the battlefields of Syria and eastern Ukraine, providing a reliable basis for the development and improvement of unmanned combat systems. In the Syrian military operation in early 2016, the Russian army used six “Platform-M” tracked unmanned combat vehicles and four “Codeword” wheeled unmanned reconnaissance vehicles for the first time to participate in the attack and occupy enemy positions, creating a practical precedent for ground unmanned equipment to move from auxiliary combat to main combat.
Currently, the Russian military is stepping up efforts to integrate artificial intelligence systems with drones, missiles, etc. to cope with the future era of intelligent warfare.
USA–
Develop long-term plans
Strengthening technology leadership
The U.S. military has always focused on the research and development of artificial intelligence technology, and has made arrangements at the national strategic level, with a clear development strategy, specific tactical models and strong technical support. Since 2000, the U.S. Department of Defense has strengthened the top-level planning of unmanned equipment and technology development by regularly updating the unmanned equipment development strategy and roadmap.
In 2014, the United States proposed the “Third Offset Strategy” with artificial intelligence as the key supporting technology. In October 2016, then-US President Obama released a report at the White House, “National Artificial Intelligence Research and Development Strategic Plan”, which proposed seven strategic directions and two suggestions for the priority development of artificial intelligence in the United States. The US military has successively formulated artificial intelligence technology research and development plans, key project ideas, and technical standards and specifications, focusing on building a research and development production and combat application system, and promoting the deployment of projects such as intelligent missiles and unmanned autonomous aerial refueling.
At present, the U.S. military’s active unmanned equipment is still mainly controlled by remote control or pre-programming. It is expected that in the future, major breakthroughs will be made in the autonomy of unmanned equipment and manned-unmanned collaboration. The U.S. military also hopes to further develop neural technology to enable combat personnel to interact with the system on the battlefield in the future, and ultimately achieve consciousness connection and human-like thinking of artificial intelligence systems.
With the deployment of a series of new combat concepts and related military application projects, the United States is accelerating the transformation of artificial intelligence technology into weapons and equipment systems and unmanned combat systems to offset the combat capabilities of its opponents, maintain absolute military advantages, and safeguard its global hegemony.
Yingde is based on——
Promoting resource integration
Each has its own development path
The UK has defined its AI strategy as a key national strategy and has developed a development path of “universities as the source and military-civilian integration”, focusing on cooperating with the world’s top universities and mature companies to explore ways to maintain military advantages on future battlefields. In September 2018, the UK announced that it had developed an AI military robot called “Sapiens” that can scan urban battlefields, detect hidden enemies, and send information to soldiers.
As a traditional industrial power, Germany regards artificial intelligence as the key to maintaining Germany’s competitiveness and safeguarding Germany’s future. Germany, which has the world’s largest artificial intelligence research center, released the national “Artificial Intelligence Strategy” in 2018, planning to invest about 3 billion euros at the federal level by 2025 to create an “artificial intelligence made in Germany” brand. In terms of military applications of artificial intelligence, Germany has also achieved many important results. The German army has been equipped with digital systems with intelligent information perception and processing capabilities in large quantities. The German Air Force’s “Typhoon” fighter has successfully achieved interconnection with remote-controlled vehicles and can receive and execute combat missions at the same time.
Israel has a small territory and a complex surrounding situation. A strong sense of insecurity is a powerful driving force for its development of artificial intelligence, and deep military-civilian integration has provided advanced technology, abundant funds and high-level talents for the rapid development of artificial intelligence in the Israeli military. Its national artificial intelligence program, the “Tower” program, a collaboration between the military and the Hebrew University, has provided a number of outstanding talents for the Israel Defense Forces to improve their intelligence level.
Today, Israel has become the world’s largest exporter of military drones, accounting for about 60% of the world’s exports. Among them, drones such as “Hermes” and “Skylark” represent the world’s advanced level. Many of the Azerbaijani drones that have attracted attention in the recent war between India and Pakistan were imported from Israel. Israel’s “Guardian” unmanned vehicle is the world’s first controllable autonomous unmanned vehicle. The Israeli Navy is equipped with multiple types of unmanned surface vessels such as “Protector”, “Stingray” and “Seagull”, among which the “Seagull” unmanned surface vessel can perform a variety of tasks such as anti-submarine, anti-mine, and anti-frogman.
The weaponization of artificial intelligence is an inevitable trend in the new round of military transformation. Local wars and conflicts in recent years have further stimulated relevant countries to promote the strategic deployment of artificial intelligence weaponization and seize the commanding heights of future wars. The potential risks of artificial intelligence weaponization cannot be ignored. It may intensify the arms race and break the strategic balance; empower the combat process and increase the risk of conflict; increase the difficulty of accountability and increase collateral casualties; lower the threshold of proliferation and lead to misuse and abuse. In this regard, we should strengthen international strategic communication to ensure consensus and cooperation among countries on the military application of artificial intelligence; promote dialogue and coordination on the construction of laws and regulations to form a unified and standardized legal framework; strengthen the ethical constraints of artificial intelligence to ensure that technological development meets ethical standards; actively participate in global security governance cooperation and jointly maintain peace and stability in the international community.
The weaponization of artificial intelligence is to apply artificial intelligence-related technologies, platforms and services to the military field, making it an important driving force for enabling military operations, thereby improving the efficiency, accuracy and autonomy of military operations. With the widespread application of artificial intelligence technology in the military field, major powers and military powers have increased their strategic and resource investment and accelerated the pace of research and development and application. The frequent regional wars and conflicts in recent years have further stimulated the battlefield application of artificial intelligence, and profoundly shaped the form of war and the future direction of military transformation.
It cannot be ignored that, as a rapidly developing technology, AI itself may have potential risks due to the immaturity of its inherent technology, inaccurate scene matching, and incomplete supporting conditions. It is also easy to bring various risks and challenges to the military field and even the international security field due to human misuse, abuse, or even malicious use. To conscientiously implement the global security initiative proposed by General Secretary Xi Jinping, we must face the development trend of weaponization of AI worldwide, conduct in-depth analysis of the security risks that may be brought about by the weaponization of AI, and think about scientific and feasible governance ideas and measures.
Current trends in the weaponization of artificial intelligence
In recent years, the application of artificial intelligence in the military field is fundamentally reshaping the future form of war, changing the future combat system, and affecting the future direction of military reform. Major military powers have regarded artificial intelligence as a subversive key technology that will change the rules of future wars, and have invested a lot of resources to promote the research and development and application of artificial intelligence weapons.
The weaponization of artificial intelligence is an inevitable trend in military transformation.
With the rapid development of science and technology, the necessity and urgency of military reform have become increasingly prominent. Artificial intelligence can simulate human thinking processes, extend human brainpower and physical strength, realize rapid information processing, analysis and decision-making, and develop increasingly complex unmanned weapon system platforms, thus providing unprecedented intelligent support for military operations.
First, it provides intelligent support for military intelligence reconnaissance and analysis. Traditional intelligence reconnaissance methods are constrained by multiple factors such as manpower and time, and it is difficult to effectively respond to large-scale, high-speed and high-complexity intelligence processing needs. The introduction of artificial intelligence technology has brought innovation and breakthroughs to the field of intelligence reconnaissance. In military infrastructure, the application of artificial intelligence technology can build an intelligent monitoring system to provide high-precision and real-time intelligence perception services. In the field of intelligence reconnaissance, artificial intelligence technology has the ability to process multiple “information flows” in real time, thereby greatly improving analysis efficiency. ① By using technical tools such as deep learning, it is also possible to “see the essence through the phenomenon”, dig out the deep context and causal relationship in various types of fragmented intelligence information, and quickly transform massive fragmented data into usable intelligence, thereby improving the quality and efficiency of intelligence analysis.
Second, provide data support for combat command and decision-making. Artificial intelligence provides strong support for combat command and military decision-making in terms of battlefield situation awareness. ② Its advantage lies in the ability to perform key tasks such as data mining, data fusion, and predictive analysis. In information-based and intelligent warfare, the battlefield environment changes rapidly, and the amount of intelligence information is huge, requiring rapid and accurate decision-making responses. Therefore, advanced computer systems have become an important tool to assist commanders in managing intelligence data, making enemy situation judgments, proposing combat plan suggestions, and formulating plans and orders. Taking the US military as an example, the ISTAR (Intelligence, Surveillance, Target Identification and Tracking) system developed by Raytheon Technologies Corporation of the United States covers intelligence collection, surveillance, target identification and tracking functions, and can gather data from multiple information sources such as satellites, ships, aircraft and ground stations, and conduct in-depth analysis and processing. This not only significantly improves the speed at which commanders obtain information, but also can provide data support with the help of intelligent analysis systems, making decisions faster, more efficient and more accurate.
Third, it provides important support for unmanned combat systems. Unmanned combat systems are a new type of weapon and equipment system that can independently complete military tasks without direct human manipulation. They mainly include intelligent unmanned combat platforms, intelligent ammunition, and intelligent combat command and control systems, and have significant autonomy and intelligent features. As a technical equipment that leads the transformation of future war forms, unmanned combat systems have become an important bargaining chip in military competition between countries. The system has achieved adaptability to different battlefield environments and combat spaces by using key technologies such as autonomous navigation, target recognition, and path planning. With the help of advanced algorithms such as deep learning and reinforcement learning, unmanned combat systems can independently complete navigation tasks and achieve precise strikes on targets. The design concept of this system is “unmanned platform, manned system”, and its essence is an intelligent extension of manned combat systems. For example, the “MQM-57 Falconer” drone developed by the US Department of Defense’s Advanced Research Projects Agency (DARPA) uses advanced artificial intelligence technology and has highly autonomous target recognition and tracking functions.
Fourth, provide technical support for military logistics and equipment support. In the context of information warfare, the war process has accelerated, mobility has improved, and combat consumption has increased significantly. The traditional “excessive pre-storage” support model can no longer adapt to the rapidly changing needs of the modern battlefield. Therefore, higher requirements are placed on combat troops to provide timely, appropriate, appropriate, appropriate, and appropriate rapid and accurate after-sales support. As a technology with spillover and cross-integration characteristics, artificial intelligence is integrated with cutting-edge technologies such as the Internet of Things, big data, and cloud computing, allowing artificial intelligence knowledge groups, technology groups, and industrial groups to fully penetrate the military after-sales field, significantly improving the logistics equipment support capabilities.
Major countries are planning to develop military applications of artificial intelligence.
In order to enhance their global competitiveness in the field of artificial intelligence, major powers such as the United States, Russia, and Japan have stepped up their strategic layout for the military application of artificial intelligence. First, by updating and adjusting the top-level strategic planning in the field of artificial intelligence, they provide clear guidance for future development; second, in response to future war needs, they accelerate the deep integration of artificial intelligence technology and the military field, and promote the intelligent, autonomous, and unmanned development of equipment systems; in addition, they actively innovate combat concepts to drive combat force innovation, thereby improving combat effectiveness and competitive advantages.
The first is to formulate a strategic plan. Based on the strategic paranoia of pursuing military hegemony, political hegemony, and economic hegemony with technological hegemony, the United States is accelerating its military intelligence process. In November 2023, the U.S. Department of Defense issued the “Data, Analysis and Artificial Intelligence Adoption Strategy”, which aims to expand the advanced capabilities of the entire Department of Defense system to gain lasting military decision-making advantages. The Russian military promulgated the “Russian Weapons and Equipment Development Outline from 2024 to 2033”, known as the “3.0 version”, which aims to provide guidance for the development of weapons and equipment in the next 10 years. The outline emphasizes the continued advancement of nuclear and conventional weapons construction, and focuses on the research of artificial intelligence and robotics technology, hypersonic weapons and other strike weapons based on new physical principles.
The second is to develop advanced equipment systems. Since 2005, the U.S. military has released a version of the “Unmanned System Roadmap” every few years to look forward to and design unmanned system platforms in various fields such as air, ground, surface/underwater, and connect the development chain of unmanned weapons and equipment such as research and development-production-testing-training-combat-support. At present, more than 70 countries in the world can develop unmanned system platforms, and various types of drones, unmanned vehicles, unmanned ships (boats), and unmanned submarines are springing up like mushrooms after rain. On July 15, 2024, Mark Milley, former chairman of the U.S. Joint Chiefs of Staff, said in an interview with U.S. Defense News that by 2039, one-third of the U.S. military will be composed of robots. The Platform-M combat robot, the “Lancet” suicide drone, and the S70 “Hunter” heavy drone developed by the Russian army have been put into actual combat testing.
The third is to innovate future combat concepts. The combat concept is a forward-looking study of future war styles and combat methods, which can often lead to the leapfrog development of new combat force formations and weapons and equipment. In recent years, the US military has successively proposed combat concepts such as “distributed lethality”, “multi-domain warfare” and “mosaic warfare” in an attempt to lead the development direction of military transformation. Taking “mosaic warfare” as an example, this combat concept regards various sensors, communication networks, command and control systems, weapon platforms, etc. as “mosaic fragments”. These “fragment” units, with the support of artificial intelligence technology, can be dynamically linked, autonomously planned, and collaboratively combined through network information systems to form an on-demand integrated, highly flexible, and flexible killing network. In March 2022, the US Department of Defense released the “Joint All-Domain Command and Control (JADC2) Strategic Implementation Plan”, which aims to expand multi-domain operations to all-domain operations concepts, connect sensors of various services to a unified “Internet of Things”, and use artificial intelligence algorithms to help improve combat command decisions. ③
War conflicts stimulate the weaponization of artificial intelligence.
In recent years, local conflicts such as the Libyan conflict, the Nagorno-Karabakh conflict, the Ukrainian crisis, and the Israeli-Kazakh conflict have continued, further stimulating the development of the weaponization of artificial intelligence.
In the Libyan conflict, the warring parties used various types of drones to perform reconnaissance and combat missions. According to a report released by the United Nations Panel of Experts on Libya, the Turkish-made Kargu-2 drone carried out a “hunt and engage remotely” operation in Libya in 2020, and could autonomously attack retreating enemy soldiers. This incident marked the first use of lethal autonomous weapon systems in actual combat. As American scholar Zachary Cullenborn said, if someone unfortunately died in such an autonomous attack, this would most likely be the first known example in history of artificial intelligence autonomous weapons being used for killing. In the 2020 Nagorno-Karabakh conflict, Azerbaijan used a formation of Turkish-made “Flagship” TB2 drones and Israeli-made “Harop” drones to successfully break through the Armenian air defense system and gain air superiority and initiative on the battlefield. ④ The remarkable results of the Azerbaijani army’s drone operations are largely due to the Armenian army’s “underestimation of the enemy” mentality and insufficient understanding of the importance and threat of drones in modern warfare. Secondly, from the perspective of offensive strategy, the Azerbaijani army has made bold innovations in drone warfare. They flexibly use advanced equipment such as reconnaissance and strike drones and cruise missiles, which not only improves combat efficiency, but also greatly enhances the suddenness and lethality of combat. ⑤
During the Ukrainian crisis that broke out in 2022, both Russia and Ukraine widely used military-grade and commercial drones to perform reconnaissance, surveillance, artillery targeting and strike missions. The Ukrainian army used the “Flagship” TB2 drone and the “Switchblade” series of suicide drones assisted by the United States to carry out precision strikes and efficient killings, becoming a “battlefield killer” that attracted worldwide attention. In the Israeli-Kazakhstan conflict, the Israeli military was accused of using an artificial intelligence system called “Lavender” to identify and lock bombing targets in Gaza. It once marked as many as 37,000 Palestinians in Gaza as suspected “militants” and identified them as targets that could be directly “assassinated”. The Israeli military’s actions have attracted widespread attention and condemnation from the international community. ⑥
Security risks posed by weaponization of artificial intelligence
From automated command systems to intelligent unmanned combat platforms, to intelligent decision-making systems in network defense, the application of artificial intelligence technology in the military field is becoming more and more common and has become an indispensable part of modern warfare. However, with the trend of weaponization of artificial intelligence, its misuse, abuse and even malicious use will also bring risks and challenges to international security that cannot be ignored.
Intensify the arms race and disrupt the strategic balance.
In the information and intelligent era, the disruptive potential of artificial intelligence is hard for major military powers to resist. They are all focusing on the development and application of artificial intelligence military capabilities, fearing that they will fall behind in this field and lose strategic opportunities. Deepening the military application of artificial intelligence can gain “asymmetric advantages” at a lower cost and with higher efficiency.
First, countries are scrambling to seize the “first mover advantage”. When a country achieves technological leadership in the development of intelligent weapon systems, it means that the country has more advanced artificial intelligence and related application capabilities, giving it a first-mover advantage in weapon system development, control, and emergency response. This advantage includes higher autonomy, intelligence, and adaptability, which increases the country’s military strength and strategic competitive advantage. At the same time, the military advantage of the first mover may become a security threat to competitors, leading to a scramble among countries in the military application of advanced technologies. ⑦ In August 2023, US Deputy Secretary of Defense Kathryn Hicks announced the “Replicator initiative”, which seeks to deploy thousands of “autonomous weapon systems” in the Indo-Pacific region in less than two years. ⑧
Second, the opacity of AI armament construction in various countries may intensify the arms race. There are two main reasons for this: First, AI technology is an “enabling technology” that can be used to design a variety of applications, which means that it is difficult to verify the specific situation of AI military applications. It is difficult to determine whether a country is developing or deploying nuclear weapons by monitoring uranium, centrifuges, weapons and delivery systems, as is the case with nuclear weapons. The difference between semi-autonomous and fully autonomous weapon systems is mainly due to different computer software algorithms, and it is difficult to verify the implementation of treaties by various countries through physical verification. Second, in order to maintain their strategic advantages, countries often take confidentiality measures for the details of the military application of advanced technologies, so that opponents cannot detect their strategic intentions. In the current international environment, this opacity not only intensifies the arms race, but also lays the groundwork for future escalation of conflicts.
Third, the uncertainty of the strategic intentions of various countries will also intensify the arms race. The impact of artificial intelligence on strategic stability, nuclear deterrence and war escalation depends largely on other countries’ perception of its capabilities rather than its actual capabilities. As American scholar Thomas Schelling pointed out, international relations often have the characteristics of risk competition, which is more of a test of courage than force. The relationship between major opponents is determined by which side is ultimately willing to invest more power, or make it look like it is about to invest more power. ⑨ An actor’s perception of the capabilities of others, whether true or false, will greatly affect the progress of the arms race. If a country vigorously develops intelligent weapon systems, competitors will become suspicious of their competitors’ armament capabilities and intentions to develop armaments without being sure of the other party’s intentions, and often take reciprocal measures, that is, to meet their own security needs by developing armaments. It is this ambiguity of intention that stimulates technological accumulation, exacerbates the instability of weapons deployment, and ultimately leads to a vicious cycle.
Empowering operational processes increases the risk of conflict.
Empowered by big data and artificial intelligence technologies, traditional combat processes will be rebuilt intelligently, that is, from “situational awareness – command decision-making – attack and defense coordination – comprehensive support” to “intelligent cognition of global situation – human-machine integrated hybrid decision-making – manned/unmanned autonomous coordination – proactive on-demand precise support”. However, although the intelligent reconstruction of combat processes has improved the efficiency and accuracy of operations, it has also increased the risk of conflict and misjudgment.
First, wars that break out at “machine speed” will increase the risk of hasty actions. Artificial intelligence weapon systems have demonstrated strong capabilities in accuracy and response speed, making future wars break out at “machine speed”. ⑩ However, too fast a war will also increase the risk of conflict. In areas such as missile defense, autonomous weapon systems, and cyberspace that value autonomy and response speed, faster response speeds will bring huge strategic advantages, but will also greatly compress the time window for the defender to respond to military actions, causing combat commanders and decision makers to be under tremendous “time pressure”, exacerbating the risk of “hasty action” and increasing the possibility of accidental escalation of crises.
Second, reliance on system autonomy may increase the chance of misjudgment under pressure. The U.S. Department of Defense believes that “highly autonomous artificial intelligence systems can autonomously select and execute corresponding operations based on the dynamic changes in mission parameters, and efficiently achieve human preset goals. The increase in autonomy not only greatly reduces dependence on manpower and improves overall operational efficiency, but is also regarded by defense planners as a key factor in maintaining tactical leadership and ensuring battlefield advantage.” ⑪ However, since human commanders cannot respond quickly enough, they may gradually delegate control to autonomous systems, increasing the chance of misjudgment. In March 2003, the U.S. Patriot missile system mistakenly marked a friendly Tornado fighter as an anti-radiation missile. The commander chose to launch the missile under the pressure of only a few seconds to react, resulting in the death of two pilots. ⑫
Third, it weakens the effectiveness of the crisis termination mechanism. During the Cold War, the United States and the Soviet Union led the construction of a series of restrictive measures to curb the escalation of crises and prevent them from evolving into large-scale nuclear wars. In these measures, humans play a vital role as “supervisors”. When risks may get out of control, they can initiate termination measures in sufficient time to avoid large-scale humanitarian disasters. However, with the improvement of the computing power of artificial intelligence systems and their deep integration with machine learning, combat responses have become faster, more precise and destructive, and humans’ termination intervention mechanism for crises may be weakened.
War accountability is difficult and collateral casualties increase.
Artificial intelligence weapon systems make it more difficult to define responsibility for war. In traditional combat modes, weapons systems are controlled by humans. Once errors or crises occur, human operators or developers of operating systems will bear corresponding responsibilities. Artificial intelligence technology itself weakens human initiative and control capabilities, making the attribution of responsibility for technical behavior unclear.
The first is the problem of the “black box” of artificial intelligence. Although artificial intelligence has significant advantages in processing and analyzing data, its internal operating rules and causal logic are often difficult for humans to understand and explain, which makes it difficult for programmers to correct errors in the algorithm. This problem is often referred to as the “black box” of the algorithm model. Once the artificial intelligence weapon system poses a safety hazard, the “algorithm black box” may become a rational excuse for the relevant responsible parties to shirk responsibility. Those who pursue responsibility can only face generalized shirking and shirking of responsibility, and point the finger of responsibility at the artificial intelligence weapon system. In practice, if the decision-making process of artificial intelligence cannot be understood and explained, it may cause a series of problems, such as decision-making errors, trust crises, and information abuse.
The second is the division of responsibilities between humans and machines in military operations. When an AI system fails or makes a wrong decision, should it be considered an independent entity to bear responsibility? Or should it be considered a tool, with human operators bearing all or part of the responsibility? The complexity of this division of responsibilities lies not only in the technical level, but also in the ethical and legal levels. On the one hand, although AI systems can make autonomous decisions, their decision-making process is still limited by human preset procedures and algorithms, so their responsibilities cannot be completely independent of humans. On the other hand, AI systems may go beyond the preset scope of humans and make independent decisions in some cases. How to define their responsibilities at this time has also become a difficult problem in the field of arms control.
The third is the issue of the allocation of decision-making power between humans and artificial intelligence weapon systems. According to the different autonomous powers of the machine, the artificial intelligence system can perform tasks in three decision-making and control modes: semi-autonomous, supervised autonomous, and fully autonomous. In a semi-autonomous system, the decision-making power of the action is controlled by humans; in supervised autonomous actions, humans supervise and intervene when necessary; in fully autonomous actions, humans do not participate in the action process. With the gradual deepening of the military application of artificial intelligence, the role of humans in the combat system is undergoing a gradual transformation from the traditional “man in the loop” mode to the “man on the loop”, and humans have evolved from direct operators inside the system to supervisors outside the system. However, this transformation has also raised new problems. How to ensure that artificial intelligence weapon systems can still follow human ethics and values when operating independently is a major challenge facing the current field of artificial intelligence weapon research and development.
Lowering the threshold for proliferation leads to misuse and abuse.
Traditional strategic competition usually involves large-scale research and development and procurement of weapons systems, which requires a lot of money and technical support. After AI technology matures and spreads, it has the advantages of being easy to obtain and inexpensive. Even small and medium-sized countries may have the ability to develop advanced intelligent weapon systems. At present, strategic competition in the field of military AI is mainly concentrated between major military powers such as the United States and Russia. However, in the long run, the spread of AI technology will expand the scope of strategic competition and pose a destructive threat to the existing strategic balance. Once smaller countries that master AI technology have relatively strong competitiveness, their willingness to initiate confrontation when facing threats from major powers may increase.
First, artificial intelligence helps develop some lightweight and agile means of warfare, thereby encouraging some small and medium-sized countries or non-state actors to use it to carry out small, opportunistic military adventures, achieving their strategic goals at a lower cost and with more abundant channels. Second, the rapid development of artificial intelligence has made new forms of warfare such as cyber warfare and electronic warfare increasingly prominent. In a highly competitive battlefield environment, malicious third-party actors can influence military planning and strategic deterrence by manipulating information, leading to an escalation of the situation. In the Ukrainian crisis that broke out in 2022, a lot of false information was spread on the Internet to confuse the public. Third, the widespread application of artificial intelligence technology has also reduced strategic transparency. Traditional military strategies often rely on a large amount of intelligence collection, analysis and prediction, and with the assistance of artificial intelligence technology, combat planning and decision-making processes have become more complex and unpredictable. This opacity may lead to misunderstandings and misjudgments, thereby increasing the risk of escalating conflicts.
Governance Path for Security Risks of Weaponized Artificial Intelligence
To ensure the safe development of artificial intelligence and avoid the potential harm caused by its weaponization, we should strengthen international communication on governance strategies, seek consensus and cooperation among countries on the military application of artificial intelligence; promote dialogue and coordination on laws and regulations to form a unified and standardized legal framework; strengthen the constraints on artificial intelligence ethics to ensure that technological development complies with ethical standards; and actively participate in global security governance cooperation to jointly maintain peace and stability in the international community.
Attach great importance to strategic communication at the international level.
AI governance is a global issue that requires the concerted efforts of all countries to solve. On the international stage, countries have both mixed and conflicting interests. Therefore, dealing with global issues through effective communication channels has become the key to maintaining world peace and development.
On the one hand, we need to accurately grasp the challenges of international governance of AI. We need to grasp the consensus of various countries on the development of weaponized AI, pay close attention to the policy differences among countries in the security governance of weaponized AI applications, and coordinate relevant initiatives with the UN agenda through consultation and cooperation, so as to effectively prevent the military abuse of AI and promote the use of AI for peaceful purposes.
On the other hand, governments should be encouraged to reach relevant agreements and establish strategic mutual trust through official or semi-official dialogues. Compared with the “Track 1 Dialogue” at the government level, the “Track 1.5 Dialogue” refers to dialogues between government officials and civilians, while the “Track 2 Dialogue” is a non-official dialogue between scholars, retired officials, etc. These two forms of dialogue have higher flexibility and are important supplements and auxiliary means to official dialogues between governments. Through a variety of dialogue and communication methods, officials and civilians can widely discuss possible paths to arms control, share experiences and expertise, and avoid the escalation of the arms race and the deterioration of tensions. These dialogue mechanisms will provide countries with a continuous communication and cooperation platform, help enhance mutual understanding, strengthen strategic mutual trust, and jointly respond to the challenges brought about by the militarization of artificial intelligence.
Scientifically formulate laws and ethical norms for artificial intelligence.
Artificial intelligence technology itself is neither right nor wrong, good nor evil, but there are differences in good and bad intentions in the design, development, manufacturing, use, operation and maintenance of artificial intelligence. The weaponization of artificial intelligence has aroused widespread ethical concerns. Under the framework of international law, can autonomous weapon systems accurately distinguish between combatants and civilians on a complex battlefield? In addition, if artificial intelligence weapon systems cause unexpected harm, how to define the responsibility? Is it in line with moral and ethical standards to give machines the decision-making power of life and death? These concerns highlight the need to strengthen the ethical constraints of artificial intelligence.
On the one hand, we must insist on ethics first and integrate the concept of “intelligent for good” from the source of technology. In the design process of artificial intelligence military systems, values such as people-oriented and intelligent for good will be embedded in the system. The purpose is to eliminate the indiscriminate killing and injury that may be caused by artificial intelligence from the source, control its excessive lethality, and prevent accidental damage, so as to limit the damage caused by artificial intelligence weapon systems to the smallest possible range. At present, nearly 100 institutions or government departments at home and abroad have issued various artificial intelligence ethical principle documents, and academia and industry have also reached a consensus on the basic ethical principles of artificial intelligence. In 2022, China’s “Position Paper on Strengthening the Ethical Governance of Artificial Intelligence” submitted to the United Nations provided an important reference for the development of global artificial intelligence ethical supervision. The document clearly emphasizes that artificial intelligence ethical supervision should be promoted through institutional construction, risk control, collaborative governance and other measures.
On the other hand, we need to improve relevant laws and regulations and clarify the boundaries of rights and responsibilities of AI entities. We need to formulate strict technical review standards to ensure the security and reliability of AI systems. We need to conduct comprehensive tests before AI systems go online to ensure that they do not have a negative impact on human life and social order. We need to clarify the legal responsibilities of developers, users, maintainers and other parties throughout the life cycle of AI systems, and establish corresponding accountability mechanisms.
Pragmatically participate in international cooperation on artificial intelligence security governance.
The strategic risks brought about by the military application of artificial intelligence further highlight the importance of pragmatic cooperation in international security. It is recommended to focus on three aspects:
First, promote the formulation of guidelines for the use of artificial intelligence in the military field. Formulating a code of conduct for the military application of artificial intelligence is an important responsibility of all countries to regulate the military application of artificial intelligence, and it is also a necessary measure to promote international consensus and comply with international laws and regulations. In 2021, the Chinese government submitted the “China’s Position Paper on Regulating the Military Application of Artificial Intelligence” to the United Nations Convention on Certain Conventional Weapons Conference, and issued the “Global Artificial Intelligence Governance Initiative” in 2023. These have provided constructive references for improving the code of conduct for regulating the military application of artificial intelligence.
The second is to establish an applicable regulatory framework. The dual-use nature of AI involves many stakeholders. Some non-state actors, such as non-governmental organizations, technology communities, and technology companies, will play a more prominent role in the global governance of AI and become an important force in the construction of a regulatory framework for the military application of AI. The technical regulatory measures that countries can take include: clarifying the scope of use of AI technology, responsible entities, and penalties for violations; strengthening technology research and development to improve the security and controllability of technology; establishing a regulatory mechanism to supervise the development and application of technology throughout the process, and promptly discover and solve problems.
Third, jointly develop AI security prevention technologies and solutions. Encourage bilateral or multilateral negotiations between governments and militaries to be included in the dialogue options for military AI applications, conduct extensive exchanges on military AI security prevention technologies, operating procedures and practical experience, promote the sharing and reference of relevant risk management technical standards and usage specifications, and continuously inject new stability factors into the international security mutual trust mechanism under the background of AI militarization.
(The author is the director, researcher, and doctoral supervisor of the National Defense Science and Technology Strategic Research Think Tank of the National University of Defense Technology; Liu Hujun, a master’s student at the School of Foreign Languages of the National University of Defense Technology, also contributed to this article)
三是創新未來作戰概念。作戰概念是對未來戰爭樣式與作戰方式進行的前瞻性研究，往往可牽引新的作戰力量編組及武器裝備跨越發展。美軍近年來提出「分散式殺傷」「多域戰」「馬賽克戰」等作戰概念，試圖引領軍事變革的發展方向。以“馬賽克戰”為例，該作戰概念將各種感測器、通訊網路、指揮控制系統、武器平台等視為“馬賽克碎片”，這些“碎片”單元在人工智慧技術賦能支援下，透過網路資訊系統可動態連結、自主規劃、協同組合，從而形成一個按需整合、極具彈性、靈活機動的殺傷網。 2022年3月，美國國防部發布《聯合全域指揮控制（JADC2）戰略實施計畫》，該計畫旨在將多域作戰向全局作戰概念拓展，將各軍種感測器連接到一個統一「物聯網」中，利用人工智慧演算法幫助改善作戰指揮決策。 ③
Modern war presents the explosive growth of battlefield information and new combat style. With the continuous emergence of new technologies such as artificial intelligence and edge computing, a new generation of command information system is coming. Based on the international fourth generation command information system, this paper imagines the overall architecture of the fifth generation command information system, expounds the technical characteristics of its knowledge center, intelligent enabling, cloud edge integration, independent evolution and resilience adaptation, analyze its key technologies, continuously improves the battlefield information advantage, and transforms to the battlefield cognitive advantage, decision-making advantage and action advantage.
Abstract
Modern war presents the explosive growth of battlefield information and new combat style. With the continuous emergence of new technologies such as artificial intelligence and edge computing, a new generation of command information system is coming. Based on the international fourth generation command information system, this paper imagines the overall architecture of the fifth generation command information system, expounds the technical characteristics of its knowledge center, intelligent enabling, cloud edge integration, independent evolution and resilience adaptation, analyze its key technologies, continuously improves the battlefield information advantage, and transforms to the battlefield cognitive advantage, decision-making advantage and action advantage.
Download CitationsZHANG Zhi-hua , WANG Fan . The Fifth Generation Command Information System and Its Intelligent Technology. Command Control and Simulation . 2021, 43(5): 1-7 https://doi.org/10.3969/j.issn.1673-3819.2021.05.001
Previous Article Next Article In his report to the 19th CPC National Congress, President Xi Jinping clearly pointed out that “we should accelerate the development of military intelligence and improve the joint combat capability and all-domain combat capability based on network information systems”
[ 1 ] . This statement indicates that future wars will be based on networked and intelligent system operations. The fifth-generation command information system will focus on intelligence, strengthen battlefield information advantages, and strive for battlefield cognitive advantages, decision-making advantages, and action advantages. According to relevant reports, the international command information system has gone through four stages of development
[ 2 ] and is evolving towards the fifth-generation command information system. The system architecture is developing towards intelligence, knowledge, cloud edge, and service. The fourth-generation system in the world mainly uses networking, service, and cloud to build an overall coordinated command information system
[ 2 ] , which meets the needs of coordinated operations to a certain extent and achieves information advantages. However, with the explosive growth of battlefield information, it is difficult to transform the system information advantage into the commander’s cognitive and decision-making advantages. With the emergence of new combat styles such as unmanned combat and cyber warfare, in order to adapt to the complexity and nonlinear characteristics of combat command, the command information system must break through cognitive technology and provide accurate battlefield situation cognition and planning and decision-making capabilities. The fifth-generation command information system is envisioned to be centered on artificial intelligence, edge computing, and cloud brain technology to enhance battlefield cognitive advantages, decision-making advantages, and action advantages, support combat command to move from the information domain to the cognitive domain, and realize capabilities such as information knowledge, intelligent decision-making, agile command and control, multi-domain collaboration, and edge services.
1 New Concept of Command and Control
1.1 Intelligent command and control
Intelligent command and control is to use artificial intelligence methods to achieve the transformation from “information-based, network-centric” to “intelligent, knowledge-centric”, and assist commanders in solving perception, understanding, and cognitive problems in the command field. The system architecture and technical architecture of the command information system will change. The system will apply corresponding intelligent technologies around functional domains such as situation, command, control, and support to improve the cognitive and decision-making efficiency of combat command. Foreign militaries pay great attention to the intelligent application of combat command. Since 2007, the US DARPA has published three white papers on national and military development strategies for artificial intelligence, and has launched plans such as “Deep Green”
[ 3 ⇓ – 5 ] , “The High-Tech Holy Grail of the Third Offset Strategy”, and “Commander’s Virtual Staff”. In the field of intelligence perception and tactical decision-making, it has launched artificial intelligence projects such as “Insight”, “Xdata”, “Deep Learning”, “Deep Text Search and Filtering”, “Distributed Battlefield Management”, “Human-Machine Collaboration”, “Mind’s Eye”, “Trace”, “Human-Machine Collaboration”, “X-Plan”, “Cognitive Electronic Warfare”, and “AlphaAI Air Combat”, realizing the ability to deeply understand battlefield intelligence, predict situation cognition, and automatically generate and deduce tactical plans. Since then, the U.S. military has also set up projects such as “Autonomous Negotiation Formation”, “Big Dog”, and “Hummingbird” to improve the manned and unmanned collaborative control capabilities. Overall, the U.S. military currently has the world’s leading level of intelligent combat command. In addition, Germany, France, Russia and other countries have also conducted extensive research in intelligent information perception and processing, intelligent autonomous unmanned combat platforms, etc., and have achieved fruitful research results
With the development of military technology, traditional large-scale cluster combat methods are gradually transformed into small-scale asymmetric combat. Combat activities at the tactical edge will play an important role in war. The tactical edge is also known as the “first tactical mile”
[ 9 ] . It is far away from the command center and has limited communication, computing, and service resources. It is usually composed of combat platforms, tactical units, and special forces. In order to gain information and decision-making advantages, command units at all levels use ubiquitous networks, micro-clouds, and other technologies to achieve information and resource sharing. Mobile computing devices at the tactical edge use fog computing methods to integrate into larger combat units and form micro-clouds under self-organizing networks. The large amount of situation information obtained by the tactical edge is calculated, stored, and shared in the tactical micro-cloud, which simplifies the scale of interaction with the command center, improves the timeliness of information interaction, and solves the problem of insufficient service capabilities at the tactical frontier in the past.
1.3 Multi-Domain Battle Command and Control
In 2016, the U.S. Army proposed the concept of “multi-domain warfare”
[ 10 ] , taking “synchronous cross-domain firepower” and “all-domain mobility” as core elements, promoting the high integration of combat elements, enhancing all-domain strike capabilities, and attempting to eliminate the “anti-access/area denial” capabilities of China, Russia and other countries. It mainly has the following three characteristics
[ 10 ] . First, the combat domain is expanded in multiple dimensions, enabling the U.S. Army to deploy forces from the ground to multiple combat domains such as sea, air, electricity, and the Internet, and has the ability to integrate with other services. Second, the combat elements are highly integrated, and the various services and combat functional domains can share information, coordinate tactics, and synchronize actions, which promotes the transformation of joint services to the integration of combat capability elements. Third, the command chain is developing in a flat direction, and the command mechanism is efficient and flexible. It is necessary to have centralized planning and decentralized execution, and to share information and instructions with various command nodes and individual soldiers, extend the tactical command chain, and realize rapid, multi-line, and multi-domain combat command.
1.4 Mosaic Combat Command and Control
In 2017, DARPA proposed the concept of “mosaic warfare”
[ 11-12 ] , which takes into account both ” threat-based” and “capability-based” equipment construction methods, and flexibly combines sensors, command and control nodes, combat platforms, and cooperative manned and unmanned systems in multiple combat domains on demand to form a mission system. System integration uses a building block approach to dynamically link dispersed fine-grained systems together to form a combat system similar to a “mosaic block”. “Mosaic warfare” uses intelligent decision-making tools to provide distributed situational awareness and adaptive planning and control, assist in combat mission planning, and implement distributed combat management. “Mosaic warfare” requires the replacement of fixed combat force composition with adaptive system reorganization, and the combat command has a resilient and adaptable information system that can customize physically dispersed mixed combat units on demand and meet various dynamic and collaborative combat requirements
2. Transformation of the Characteristics of the Fifth Generation Command Information System
1) The system shifts from network-centric to knowledge-centric. The network-centric approach brings battlefield information advantage, which is then transformed into cognitive advantage and decision-making advantage. The information sharing between systems shifts to knowledge-centric intelligence sharing, which promotes the transformation of the entire command system into decision-making and action advantage.2) The cloud architecture is transformed into cloud-edge-end integration. Expand the original cloud resource sharing capabilities
[ 2 ] and extend them to the platforms, teams, and individual soldiers at the tactical edge, realize the integrated hybrid service capabilities of the battlefield center cloud, mobile cloud, and edge micro-cloud in a mobile environment, and enhance the tactical frontier resource service capabilities.3) Transformation from scheduled integration to resilient adaptability. Currently, the system is deployed and operated according to preset rules. When the mission changes, it must be regulated according to the pre-planned plan. In the future, battlefield systems are vulnerable to attacks and paralysis, requiring the system to have the ability to self-reconstruct, resilient and adaptable when disturbances occur to ensure that the core mission is uninterrupted
[ 13-14 ] .4) Transformation from computational intelligence to cognitive intelligence. Intelligence is manifested in computational intelligence, perceptual intelligence, and cognitive intelligence. Currently, computational intelligence provides a tactical deterministic solution method. In the future battlefield, intelligent technology must be used to improve the accuracy and real-time degree of cognition in terms of massive intelligence processing, situational awareness, and decision-making reasoning.5) Performance changes from fixed fixed to autonomous learning evolution. The system’s algorithm and performance are generally determined and fixed during the design period, and performance improvement is achieved through upgrading and transformation. Intelligent systems have the ability of self-learning and self-evolution, and can learn algorithms for situational awareness and intelligent decision-making online to improve system performance.6) Construction shifts from capability-based to knowledge-based. Command information systems are generally constructed based on capability elements, and system integration is integrated based on capability elements. Intelligent systems pay more attention to the intellectual construction of the system, focusing on the construction of system knowledge, rules, algorithms, and data.7) The interaction mode will shift to human-machine fusion intelligent interaction. Human-machine fusion intelligent perception, anthropomorphic interaction, intention-oriented intelligent human-machine interface interaction, wearable human-machine fusion computing, and fusion and linkage interaction will become the main interaction mode of future systems, and the human-machine control system will progress towards human-machine fusion.8) The separation of combat and training has shifted to the integration of combat, training, exercise and research. The fifth-generation command information system tightly couples combat command and tactical training, and has parallel simulation and reasoning capabilities. It can not only update intelligent algorithms, but also conduct combat and tactics confrontation research, obtain tactical data, and promote algorithm learning. Exercise training has developed from war game simulation to battlefield virtual game.
3 Overall Architecture Concept
The overall architecture of the future fifth-generation command information system should be a command information system that is knowledge-centric, human-machine integrated, intelligently empowered, cloud-edge integrated, autonomously evolving, and resilient and adaptable. The following article mainly describes the overall system from the perspectives of system architecture, service architecture, and technical architecture
[ 15 ] . The system architecture mainly refers to the composition of the system’s logical elements and their relationships, the service architecture describes the integration model of information and computing resources between systems, and the technical architecture describes the system’s technical reference model.
3.1 System Architecture Concept
The system is changing from “information-based, network-centric” to “intelligent, knowledge-centric”, while extending to the tactical edge. Based on the original system integration, the system integrates knowledge and algorithms, applies intelligent technology in functional domains such as situation, command, control, and support, and improves the cognition and decision-making efficiency of combat command. The system architecture is envisioned as follows:
Figure 1 Conceptualization of the fifth-generation command information system architecture
第五代指揮資訊系統架構概念
The fifth-generation system expands the functional domain of parallel deduction and learning training on the basis of functional elements such as situational awareness, command decision-making, action control, support and guarantee, and information services to meet the needs of combat branch evaluation and algorithm learning. In terms of situational awareness, it covers computational intelligence, perceptual intelligence, and cognitive intelligence, mainly completing battlefield intelligence processing and target identification, understanding and predicting the situation, having state and momentum, and improving information advantage; in terms of command decision-making, it is mainly based on cognitive intelligence, which can machine tactical reasoning, generate plans and plans, and improve decision-making level; in terms of action control, it is mainly based on computational intelligence and cognitive intelligence, completing task monitoring and temporary tactical control, and providing action optimization strategies based on knowledge reasoning, such as command guidance, firepower coordination, and unmanned cluster intelligent control; in terms of comprehensive guarantee, it is mainly based on computational intelligence, completing the optimal allocation of battlefield resources under prior knowledge and rules; in terms of parallel deduction and learning training, it combines command and control with simulation training, trains personnel and algorithms in peacetime, and conducts parallel plan deduction in wartime.In addition, the fifth-generation system has an autonomous evolving learning mechanism: first, autonomous learning within the node to optimize the algorithm and knowledge base; second, the nodes share intelligent algorithms and knowledge through the command cloud to collaboratively complete the evolution. Each node can upload the learned algorithms and knowledge to the command cloud to update the algorithms and knowledge of the knowledge center; third, the system issues instructions to tactical nodes, weapon nodes, detection nodes, and combat support nodes, and collects execution feedback. These feedback results can be used to learn and evolve the algorithm.Between the fifth-generation systems, based on the original comprehensive integration based on the cloud/end architecture, an integrated sharing method for knowledge and intelligent algorithms has been added. Each command information system uploads intelligent algorithms and knowledge rules to the knowledge center for plug-and-play sharing by heterogeneous nodes such as battlefield detection, command, and weapons. The command information system can obtain existing intelligent knowledge from the knowledge center and conduct secondary learning and training in combination with its own battlefield data to improve algorithm capabilities. The command cloud will eventually form an intelligent knowledge center for the battlefield, and a battlefield knowledge network will be formed between the intelligent command information systems.
3.2 Concept of cloud-edge-device service architecture
In the future, ubiquitous network connections will extend from command units to various squads, individual soldiers, and platforms at the tactical edge. The fifth-generation command information system will use fog computing and distributed computing technologies to build tactical mobile clouds, squad micro-clouds (Cloudlet), and individual task group pico-clouds (Pico-Cloud) based on cloud architecture technology
[ 9 , 16 ] , forming tactical frontier mobile cloud service capabilities, realizing the hybrid service capabilities of battlefield centralized combat clouds, mobile tactical clouds, and edge micro-clouds and pico-clouds, forming an integrated resource service structure of “cloud, edge, and end”, and quickly building command chains and strike chains.
Concept of cloud-edge-end service architecture of the fifth-generation command information system
第五代指揮資訊系統雲端端服務架構構想
The cloud-edge-end integrated service capability supports the fifth-generation system to achieve dynamic aggregation and release of combat resources through “cloud deployment, cloud aggregation, cloud attack, and cloud dissipation”, thereby improving the combat effectiveness of the entire system
[ 17 ] . The centralized combat cloud is deployed in the command center in a fixed cloud manner
[ 16 ] to provide services for various combat nodes; air, land, and sea tactical clouds provide information, algorithms, computing, and storage services under mobile conditions for aircraft, ships, armored forces, and other forces at the tactical frontier, thereby improving the resource sharing level at the tactical frontier
[ 9 , 16 , 18-19 ] ; in tactical edge military operations, micro-clouds and pico – clouds are constructed. Micro-clouds are deployed in fog computing on vehicles, aircraft, and boats within one hop of the communication distance of the frontier contact unit, expanding the tactical information processing and sharing capabilities of the frontier unit personnel. When individual soldiers and units cannot access micro-clouds, mobile ad hoc networks and distributed computing technologies can be used to construct pico-clouds to support dynamic information aggregation and resource sharing end-to-end under weak connections at the tactical edge, thereby extending the command chain.
3.3 Technical Architecture Concept
The fifth-generation command information system will extend the war from the physical domain and information domain to the cognitive domain, and will change the way of command and control. Its technical architecture is as follows:
Technical architecture of the fifth-generation command information system
第五代指揮資訊系統技術架構
The fifth generation command information system adds tactical edge services and intelligent computing environments based on the networked computing environment of the fourth generation command information system, which is compatible with the system architecture and meets the intelligent requirements of the system. The tactical edge service computing environment provides micro-cloud and pico-cloud basic computing, storage, and information service platforms for weakly connected terminals; the intelligent computing environment provides intelligent services for situation, decision-making, control, and human-computer interaction.The intelligent technology environment layer includes the following five parts. The intelligent computing hardware platform is equipped with AI acceleration processors such as GPU, FPGA, and TPU to adapt to the computing power required by deep learning. Some algorithms use brain-like chips with neuron processing mechanisms or solidified dedicated intelligent computing chips; the intelligent data management platform mainly manages data, samples, cases, models, and knowledge; the deep learning framework integrates the runtime library and basic algorithm library of deep learning and reinforcement learning; the traditional artificial intelligence computing framework includes traditional algorithm support libraries such as spark and bigflow for search and solution, data mining, and parallel processing; intelligent services include application-oriented intelligent algorithm service libraries, such as intelligent interactive recognition, valuation network calculation, and strategy network calculation services, which provide solution interfaces for application development.The intelligent application layer mainly provides functional elements such as intelligent situational awareness, planning and decision-making, action control and information services, human-computer interaction, learning and training. It is the system’s main functional interface for users and the core problem that intelligence needs to solve.The fifth-generation system technology architecture model mentioned above mainly uses cloud computing and intelligent technology support services to achieve the sharing of situations, instructions, algorithms and knowledge between systems, and supports system autonomous evolution, algorithm upgrades and knowledge updates. System intelligence can be divided into levels 0 to 4
[ 20 ] . Level 0: full manual control; Level 1: computing intelligence, deterministic complex tactical calculations and information automation processing; Level 2: having certain perceptual intelligence, able to understand, evaluate and predict battlefield situations; Level 3: having cognitive intelligence, able to provide machine decision-making and decision-making deduction capabilities; Level 4: having human-machine integration and symbiosis capabilities, and the core algorithm can self-learn and self-evolve. At present, the intelligence level of the fourth-generation system is generally at level 1, and situation understanding and command decisions are still controlled by humans. The intelligence of the fifth-generation system can reach the fourth level through three stages. The first stage is to realize the ability to perceive, understand and evaluate the battlefield situation; the second stage is to build a knowledge base of tactics and enable machine decision-making based on rules, knowledge and algorithms; the third stage is to realize machine self-learning and self-evolution of core tasks, and have the function of autonomous decision-making, reaching a highly intelligent level of human-machine integration
4 Key technologies of the system and its intelligent concept
The key technologies of the fifth-generation command information system mainly solve the above – mentioned problems of intelligence, cloud – edge-end integration, and system resilience and adaptability. The key technologies of the system and its intelligent concept is the following
Key technologies of the system and its intelligent concept
系統關鍵技術及智慧化理念
The key technologies of the fifth-generation command information system cover all aspects of the command and control OODA loop, and can support the system’s intelligence, resilience, and edge command and control requirements in terms of detection, decision-making, control, and strike, thereby building a precise perception chain, rapid control chain, precise strike chain, and agile service chain, extending to the tactical edge and improving command effectiveness.
1) Situational Awareness Machine Analysis TechnologyIntelligence compilation and analysis technology.
Use big data, deep learning, knowledge graphs and other technologies to perform intelligent information correlation matching, text semantics intelligent analysis, and public opinion intelligent search and extraction to obtain valuable intelligence from massive, multi-source, and heterogeneous battlefield information.
Multiple target rapid recognition technology. Using deep learning methods, a multi-layer CNN convolutional neural network is constructed, and sample feature parameter learning is used to complete feature extraction and rapid target recognition of optical, infrared, electromagnetic, and acoustic information.Situation recognition and understanding technology. Analyze the enemy’s combat intentions and combat capabilities, use the reinforcement learning valuation network technology to simulate the commander’s situation recognition process, and combine the CNN nonlinear battlefield situation fitting ability to establish a mapping from situation images to situation understanding
Situation machine prediction and assessment technology. Based on situation understanding, the enemy’s tactical behavior is estimated. First, the strategy network is used to obtain the enemy’s activity rules, and then the parallel deduction method is used to perform multi-branch situation deduction. Finally, a prediction network is constructed to predict the situation.
Combat mission space and strategy modeling technology. Modeling the state and action strategy of the combat mission space and determining the description method of the mission state, strategy, and feedback are the basis for deep reinforcement learning to make decisions.Mission planning machine decision-making technology. Use operations optimization to complete target analysis and task allocation. Use deep reinforcement learning and swarm intelligence algorithms to machine plan force composition, firepower configuration, and collaborative paths. Tactical planning tends to be rule-based reasoning and easy to break through; campaign planning tends to be knowledge-based reasoning based on experience, involving the art of command, and is more difficult to break through.
Parallel simulation technology for combat plans. With reference to the parallel simulation technology of the “deep green” system the Monte Carlo search tree and game test method are used to simulate enemy combat behavior, rehearse and evaluate the action process, and accumulate feedback reward and punishment functions for learning, training, and decision optimization.
Intelligent generation technology of combat plans. Using intelligent perception algorithms such as natural language understanding, voice command recognition, and sketch recognition, combined with the extraction of elements from the task model, the knowledge graph is used to automatically extract the plan to generate combat plans and command sequences .
Rapid decision-making technology on the spot. Based on the current situation, using the learning data accumulated by the game platform, automatically matching the most appropriate plan adjustment, making dynamic decisions on the plan based on Monte Carlo tree search and transfer learning algorithms, reverse reinforcement learning, and enhancing the generalization ability of the plan.3) Intelligent motion control technologySituation-based improvisation control technology. According to the effects and deviations of combat operations, the resources, paths, and coordination modes of the mission are dynamically adjusted, and parallel simulation multi-branch deduction and reinforcement learning technology are used to correct the deviations, thus realizing tactical “feedforward” control .
Swarm intelligence collaborative control technology. Promote the maximization of the overall effectiveness of battlefield intelligent bodies in collaborative operations, use ant colony and bee colony control algorithms and deep reinforcement learning methods to build a global tactical value network, establish an effect feedback model, and perform strategic control based on the value network.Firepower collaborative control technology. Improve the speed and accuracy of friend-or-foe identification, firepower allocation, and collaborative dispatch, use swarm intelligence and deep reinforcement learning algorithms to automatically plan, coordinate and optimize the strike chain, and have a certain degree of autonomous decision-making ability.
Multi-domain cluster system autonomous collaborative machine planning technology. Use branch search solution, knowledge reasoning, and deep reinforcement learning to plan and allocate collaborative tasks for manned/unmanned systems, and use swarm intelligence optimization algorithms to plan collaborative trajectories for unmanned and manned platforms.Multi-domain cluster system autonomous collaborative command and control technology. It monitors the missions of unmanned clusters and provides autonomous collaborative command and guidance. It uses swarm intelligence algorithms to detect conflicts and avoid collisions among multiple unmanned platforms, and coordinates grouping, routing, and load.
5) Intelligent information service technology.
Intelligent battlefield information sharing technology uses reinforcement learning and semantic association technology to analyze users’ information needs and preferences, generate information needs based on users’ differentiated characteristics, and intelligently push tactical information to users.
Human-computer fusion intelligent perception interaction technology. Construct multi-channel human-computer interaction methods including sketches, spoken language, gestures, head postures, expressions, eye movements, etc., and provide natural, sensitive, accurate and anthropomorphic interaction strategies . Intention-oriented intelligent human-computer interface technology. Using FCM fuzzy cognitive interactive reasoning technology, infer the user’s interactive intention, and organize the interactive interface output by integrating different means such as spoken language, gestures, sketches, and natural language according to the user’s interface needs and interaction preferences.Smart wearable human-machine fusion technology. It uses edge computing technology and new human-machine interaction methods such as voice, gestures, eye movements, brain-computer interfaces, and augmented reality to provide soldiers with smart wearable devices that have a collaborative, integrated, and linked human-machine interaction mode.
7) Virtual gaming and training evaluation technology.
The combat virtual game technology builds a game confrontation test platform, conducts combat knowledge modeling, and uses parallel simulation, branch decision, differential confrontation and other technologies to conduct red-blue confrontation, which not only trains tactics and methods, but also collects tactical data.Machine training and evaluation technology uses the data accumulated by the game platform and the experience of personnel to model, adopts small sample transfer learning technology to train and optimize the algorithm, replays the real data afterwards, performs transfer learning optimization on the decision model, and updates the decision plan.
8) System resilience adaptive reconstruction technology.
Environmental perception and autonomous fault detection technology. Under soft and hard damage, it can detect the main faults and analyze abnormal correlations, predict the occurrence of faults that affect task execution, evaluate the impact of faults on tasks, and realize active perception and rapid location of system resources and faults.System self-healing and reconstruction intelligent technology. When key nodes of the system fail, an adaptive mechanism is used to reallocate resources, achieve capacity regeneration, and continuously ensure the completion of core tasks. The system changes from a fault repair method with preset rules and manual participation to an intelligent system reconstruction method.
9) Tactical edge computing technology.
Mobile micro-cloud service platform technology. Deployed in fog computing mode on vehicles, aircraft, and boats within one hop of the enemy, it provides shared processing capabilities for combat teams and expands the tactical information processing capabilities of team members.Pi-cloud resource sharing technology under weak connection ad hoc network. Based on the individual soldier ad hoc network, the Pi-cloud is constructed using distributed computing technology to support end-to-end autonomous collaborative information sharing and resource sharing between individual soldier mobile devices under weak connection to meet tactical edge needs.
5 Development ideas and ideas
1) Gradually progress in stages, starting with the easy and then moving on to the difficult. In the first stage, image, voice, gesture, face recognition, and natural language understanding are applied to intelligence analysis; in the second stage, deep learning and reinforcement learning are applied to situational awareness and command decision-making; in the third stage, cloud computing is used to realize a knowledge-centered, intelligently empowered system.
2) Select intelligent algorithms for application. Focusing on the application of deep learning in situation and deep reinforcement learning in planning and decision-making, select appropriate tactical backgrounds to verify intelligent algorithms. Tactical-level planning of paths, firepower, tasks, etc. can be used as breakthroughs.
3) Strengthen the construction of knowledge engineering in the field of combat command. Expert rules, military regulations, and actual combat data are the basis of intelligent command. The existing combat rules should be modeled and represented in a knowledge-based manner, and the input and output mapping relationship between knowledge representation and deep learning should be established. The research on knowledge learning and knowledge reasoning methods should be strengthened .
4) Establish a virtual confrontation game platform to accumulate data. Intelligent algorithms require a large number of learning samples. The ways to accumulate samples are: Establish a confrontation game platform to conduct war games, human-machine confrontation, and red-blue confrontation to accumulate data; Collect tactical data from actual combat exercises and build models as training samples.
6 Conclusion
This paper proposes the overall and intelligent concept of the fifth-generation command information system, constructs a new generation of command information system architecture with “intelligent empowerment, human-machine integration, cloud-edge integration, autonomous evolution, cloud-intelligence sharing, and resilience and adaptability”, analyzes its key technologies and capability characteristics, and attempts to achieve cognitive advantages, decision-making advantages, and action advantages based on the fourth-generation system in the world .
There are not many technical verifications for the fifth-generation system in the world, so we should not rush for quick success and still need to conduct sufficient research.
Adapt to the general trend of technological development and seize the high point of future war system ——
Artificial intelligence is a collective term for cutting-edge technology groups such as big data, automated decision-making, machine learning, image recognition, and spatial situational awareness. The “ cognitive burden ” that liberates human intelligent fitness enables technology users to obtain prophets, preemptive, Preemptive decision-making action advantage. As “ power multiplier ” and “ the basis for future combat ”, artificial intelligence will fundamentally reshape future war patterns, change the country’s traditional security territory, impact existing military technology development patterns, and reconstruct future operations The system and military power system have become important leading forces in the future battlefield.
With the rapid development of technology and the continuous pace of competition, major countries have launched their own artificial intelligence development plans, and accelerated the transformation of organizational mechanisms, scientific and technological research and development, and tactical tactical innovation, promote the use of artificial intelligence military, and seize future war commanding heights.
Speed up organizational innovation
Promote technology conversion applications
Unlike traditional technology, the research and development and transformation of artificial intelligence have its own characteristics. The institutional setting and operation of the traditional defense system make it difficult to adapt to the needs of rapid development of artificial intelligence. To this end, the military of relevant countries has vigorously carried out organizational reforms and innovations, removed institutional obstacles in the process of research and development of artificial intelligence technologies, and accelerated the transformation and application of related technologies.
Emphasize that “ is close to ”. The UK is mainly based on “ Defense Data Office ” and “ Digital Integration and Defense Artificial Intelligence Center ”, integrating energy efficiency such as route planning, specification setting, technical governance and asset development, and breaking down restrictions on the development and application of artificial intelligence technologies Administrative obstacles. The United States is based on the “ Strategic Competency Office ” and “ Chief Numbers and Artificial Intelligence Officer ”, and uses the Army’s Future Command as a pilot to integrate decentralized functions such as theoretical development, technology development, and equipment acquisition. Together, the focus is on “ Digging potential efficiency ” to strengthen the innovative use of existing platforms, while In order to effectively balance real needs with long-term development.
Pay attention to “ research conversion ”. The use of artificial intelligence in the military field will have a profound impact on battlefield methods, tactical tactical choice, etc. Russia has established “ Preliminary Research Foundation ” and “ National Robot Technology R&D Center ” and other institutions to guide the design, research and development and application of Russian military industrial and intelligent technology to improve the practical transformation of scientific research results rate. The United States has set up “ Joint Artificial Intelligence Center ”, relying on “ National Mission Plan ” and “ Military Type Mission Plan ”, focusing on coordinating military-site collaborative innovation and technological achievements transformation to promote artificial intelligence Wide application of the US Department of Defense and various services.
Focus on “ military-civilian integration ”. Russia has set up “Tech City ” and other institutions in Anapa and other places. Based on the “ Advanced Research Foundation ”, it fully absorbs military personnel, actively builds technological production clusters and research clusters, and effectively expands military personnel. Two-way communication mechanism. By setting up “ National Defense Innovation Test Group ” and other institutions in Silicon Valley and other places, the United States can directly enter high-level decision-making by relying on “ National Defense Innovation Committee”. France has established technical research and development institutions such as the Innovation Defense Laboratory and the Defense Innovation Division in the Ministry of National Defense, aiming to solicit private capital investment and cooperation in defense projects to improve scientific research energy efficiency.
Highlight “ combination of technology ”. The Israel Defense Forces established the Digital Transformation System Architecture Department to fully demonstrate new technologies, new theories, and new concepts based on the specific effects of the organic integration of various systems into various military services to determine the corresponding technology research and development priorities and strategic development directions. The United States has re-established the positions of Deputy Secretary of Defense Research and Engineering, created chief numbers and artificial intelligence officers to enhance the control of defense technology innovation and application, and relied on theoretical methods such as red and blue confrontation, analog deduction, and net assessment analysis. New ideas, new ideas, and new methods are tested in practice to select various types of technology research and development focus and strategic tactical attack directions, Achieve benign interaction between technological development and theoretical innovation.
Set up a project for military needs
Seize the opportunity for future development
In recent years, various military powers have aimed at the development of artificial intelligence frontier technology, and have established extensive projects in the fields of situational awareness, data analysis, intelligence reconnaissance, and unmanned combat, with the intention of seizing future development opportunities.
Situation awareness field. Situational awareness in the traditional sense refers to the collection and acquisition of battlefield information by means of satellite, radar, and electronic reconnaissance. However, under the conditions of “ mixed warfare ”, which is ambiguous in peace, unity of soldiers, internal outreach, and integration of all regions, the role of situational awareness in non-traditional fields such as human domain, social domain, and cognitive domain has received unprecedented attention. The US “ Computable Cultural Understanding ” project aims to process multi-source data through natural language processing technology to achieve cross-cultural communication; the “ compass ” project aims to extract cases from unstructured data sources, Integrate key information and respond to different types of “ gray zone ” actions. The French “ Scorpion ” Combat System project aims to use intelligent information analysis and data sharing platforms to enhance the fire support effectiveness of the French’s existing frontline mobile combat platform to ensure the safety of operational personnel.
Data analysis field. Relying on artificial intelligence technology to improve intelligent data collection, identification analysis and auxiliary decision-making capabilities can transform information advantages into cognitive and action advantages. Russia’s “ Combat Command Information System ” aims to provide commanders with multiple types of action plans by using artificial intelligence and big data technology to analyze the battlefield environment. The British “THEIA program ” and the French “The Forge” digital decision support engine are designed to enhance the information processing capabilities of command control, intelligence gathering, etc., and improve the commander’s ability to control complex battlefields. And command effectiveness.
Intelligence reconnaissance field. Compared with traditional intelligence reconnaissance, the use of artificial intelligence algorithms to collect and process intelligence has the advantages of fast access to information, wide content sources, and high processing efficiency. The Japan Self-Defense Force satellite intelligent monitoring system aims to identify and track foreign vessels in the vicinity of key waters that may “ infringe ” their territorial waters. U.S. military “ complex combat environment causal exploration ” project, which aims to use artificial intelligence and machine learning tools to process multi-source information to assist commanders in understanding the cultural drivers, root causes, and factors behind the war; “ Marvin ” The project uses machine learning algorithms, human face recognition technology, etc. to screen and list various suspicious targets from the full dynamic video, Provide technical support for counter-terrorism operations.
No one is fighting. In some technologically advanced countries, the unmanned combat system is maturing and the equipment species spectrum system is becoming more and more perfect. The Israeli M-RCV unmanned combat vehicle can perform diversified tasks such as unmanned reconnaissance, fire strike, carrying and recycling drones under all terrain and full-time conditions. The Russian army “ Outpost-R” UAV system with integrated capabilities can detect, track, and strike military targets in real time. It also has certain anti-reconnaissance and anti-interference capabilities and has been inspected on the battlefield. The US military “ Future Tactical UAV System ” project aims to comprehensively enhance the effectiveness of the US Army in performing reconnaissance and surveillance, auxiliary aiming, war damage assessment, and communications relay operations.
Adapt to future battlefield changes
Continuously explore new ways of warfare
In order to adapt to the tremendous changes in the battlefield environment in the intelligent era, relevant countries have explored a series of new warfare methods by enhancing the energy efficiency of artificial intelligence in key military decisions and operations.
Algorithmic warfare, that is, relying on big data and artificial intelligence technology, to give full play to the powerful potential of combat networks, human-machine collaboration, and autonomous and semi-autonomous weapons, so that the cycle cycle of “ observation-adjustment-decision-action” Always lead the opponent, thereby destroying the enemy’s combat plan and achieving preemption. In December 2015, the Russian army relied on the unmanned reconnaissance and intelligent command information system to guide the ground unmanned combat platform to cooperate with the Syrian government forces to quickly eliminate 77 armed elements within the target range at the cost of 4 minor injuries. In 2021, the US Air Force conducted a test flight of the first intelligent drone “ Air Borg ”, marking a further advancement of the US military algorithm warfare.
Unmanned warfare, guided by a saturated number of attacks and a low-cost war of system attack and defense operations, strives to achieve full-scale posture tracking, dynamic deterrence, and tactical suppression of the enemy defense system through human-computer coordination and group combat models. In May 2021, the Israeli army used artificial intelligence to assist the drone bee colony in the conflict with the Hamas armed group, which played an important role in determining the enemy’s position, destroying the enemy’s target, and monitoring the enemy’s dynamics. In October 2021 and July 2022, the US military launched a drone targeted air strike in northwestern Syria, killing Abdul Hamid Matar, a high-level leader of the “ base ” organization, and the extremist organization “ Islamic State ” Leader Agel.
Distributed warfare, based on artificial intelligence unlimited command and control capabilities and new electronic warfare methods, using shallow footprints such as special forces, low-characteristics, and fast-paced forces to form small groups of mobile formations, spreading infiltration into combat in a multi-diameter multi-domain manner Area, continue to break the shortboard and chain dependence of the enemy system, increasing the difficulty of its fire saturation attack. In this process, “ people are commanding and machines are controlling ”. In recent years, the US military has successively launched “ Golden Tribe ”“ Flexible Network Distributed Marseille Communication ” and other “ distributed operations ” scientific research projects.
Fusion warfare, relying on network quantum communication and other means to build a “ combat cloud ” that is resistant to interference and high rates, in order to eliminate the technical barriers of military data chain interconnection, interconnection and interoperability, and achieve deep integration of combat power. In 2021, the joint general basic platform developed by the United States Artificial Intelligence Center officially possessed initial operational capabilities, which will help the US military break down data barriers and significantly improve data sharing capabilities. During the NATO “ Spring Storm ” exercise held in Estonia in 2021, the British army used artificial intelligence technology to perform intelligent analysis and automated processing of battlefield information of various services, which improved the integration of arms and strengthened joint command and control effectiveness.
■National Defense University of Science and Technology Party Innovation Theory Research Center
Scientific and technological innovation is the core element of developing new quality productivity and a powerful engine for generating new quality combat capability. Since the 18th CPC National Congress, President Xi has profoundly grasped the internal laws of the new military reform and strengthening the army, made the important conclusion that science and technology are the core combat capability, clearly put forward and fully implemented the strategy of strengthening the army through science and technology, and continuously promoted the transformation of our army’s construction model to innovation-driven development. On the new journey, we must persist in innovation-driven development, promote the efficient integration and two-way pull of new quality productivity and new quality combat capability, and continuously improve the contribution of scientific and technological innovation to the construction of the army and the development of combat capability.
Deeply understand the internal logic of how technological innovation generates combat power
Science is a revolutionary force that has played a driving role in history. President Xi’s important statement that science and technology are the core combat power clarifies the inherent logic of scientific and technological innovation and combat power development, and provides scientific guidance for accelerating the modernization of national defense and the military.
Scientific and technological innovation promotes the leap of endogenous elements of combat effectiveness. Marxism believes that the basic elements of combat effectiveness are people, weapons and equipment, and the combination of people and weapons and equipment. Science and technology are not independent elements of combat effectiveness, but they deeply penetrate and integrate into the elements of combat effectiveness, becoming the leading force for the growth of combat effectiveness. From the perspective of people, with the continuous development of science and technology, the technical composition of the army is becoming more and more complex, the degree of specialization is getting higher and higher, and higher and higher requirements are placed on the comprehensive quality of people. From the perspective of weapons and equipment, they themselves are the materialization of science and technology in the military field. Not only does their design and research and development reflect the application of scientific and technological innovation results in the military field, but their production and manufacturing process is also the result of the joint action of high-tech production equipment, high-quality production processes and high-level scientific management. From the perspective of the combination of man and weapon, whether it is inspiring innovation in military theory, leading the adjustment of system organization, or catalyzing the change of combat command, science and technology are increasingly active and revolutionary factors, and have become the catalyst for achieving the best combination of man and weapon. It can be said that the more advanced science and technology are, the higher the degree of informationization and intelligence of war, and the more obvious the role of science and technology in reshaping and improving combat effectiveness.
Scientific and technological innovation leads the development direction of new quality combat power. Looking back at history, every breakthrough in military technology is an important driving force for the gradual disintegration of the old combat force system and the gradual formation of a new combat force system. The invention and use of gunpowder “blew the cavalry class to pieces” and also made infantry and artillery gradually become the main forces on the battlefield; military technological innovations such as tanks and airplanes, while leading human warfare into the mechanized era, gave birth to mechanized combat forces such as armored troops and aviation; the application of emerging technologies such as information network technology has brought new quality combat capabilities such as information attack and defense. At present, a new round of scientific and technological and industrial revolution is surging, with the main features of the continuous emergence of major disruptive technologies, the accelerated transformation of scientific and technological achievements, and the extensive application of a large number of advanced technologies in the military field. Scientific and technological innovation has become the main battlefield of international strategic games. Whoever holds the “bull’s nose” of scientific and technological innovation and takes the first step in scientific and technological innovation will be able to improve combat effectiveness faster, gain technical advantages, and win the initiative.
Scientific and technological innovation catalyzes changes in the way combat power is used. War practice has shown that science and technology are the most direct, powerful and decisive factors in military development. Every major technological advancement has triggered major changes in the form of war and the way of fighting. For example, the emergence of firearms led to the collapse of formation tactics and the emergence of linear tactics; in the information age, integrated joint operations have become the basic form of operations, and platform operations, system support, tactical actions, and strategic guarantees have become the prominent features of modern warfare. With the emergence of high-tech groups such as artificial intelligence, network information, and big data, military intelligence is becoming a powerful driving force for a new round of military reforms, profoundly affecting the future war winning mechanism, combat rules, and combat methods. We must make greater efforts to strengthen the military through science and technology, insist on seeking combat effectiveness from scientific and technological innovation, and seize the strategic initiative of information-based and intelligent warfare.
Accurately grasp the scientific path to gain combat effectiveness through scientific and technological innovation
Innovation capability is the core competitiveness of an army and an accelerator for generating and improving combat effectiveness. We must focus on actual combat, accurately grasp the scientific path of generating combat effectiveness, and accelerate the transformation of scientific and technological innovation into combat effectiveness.
Improve the level of military training with scientific and technological innovation. High-tech represented by the new generation of information technology has accelerated its breakthrough application, providing simulation, networking, and confrontational means for actual combat training, joint combat training, scientific and technological training, and training under the rule of law, becoming an important foundation and key guarantee for improving the quality and effectiveness of training and the ability to win. Empower training conditions with science and technology, deeply explore the application of technologies such as generative artificial intelligence, effectively integrate various fields such as land, sea, air, space, electricity, and the Internet, construct a vivid and realistic actual combat training environment, develop advanced means such as combat experiments and war games, and explore new training methods such as “science and technology +” and “network +”. Use science and technology to empower the transformation of training models, keep a close eye on the characteristics of intelligent warfare, innovate intelligent military training models, fully rehearse the next war in military training, actively develop new combat concepts and training theories, comprehensively use “temple computing”, “machine computing” and “intelligent computing” to improve the level of intelligent command research and training, increase new types of training such as unmanned combat, and promote the integration of new quality forces into the combat system.
Promote the development of weapons and equipment with scientific and technological innovation. Scientific and technological innovation is the most active element and the most powerful driving force for the modernization of weapons and equipment. The long-term construction of the equipment system must be guided by the future combat needs brought about by the progress of military science and technology, and the leapfrog development of the weapons and equipment system must be achieved. The concept and development ideas of military demand generation that are oriented to long-term development and focus on the promotion of scientific and technological innovation must be established, and the strategic needs of short-term and long-term development must be well connected. It is necessary to accelerate the upgrading and replacement of weapons and equipment and the development of intelligent weapons and equipment, strengthen the construction of high-tech weapons and equipment and new concept weapons and equipment, and promote the modernization level of weapons and equipment to accelerate into the ranks of the world’s advanced countries. It is necessary to accelerate the transformation from the development of single equipment elements to the formation of system capabilities, use network information systems to connect various combat elements, clench fingers into a fist to exert overall effectiveness, and form joint combat capabilities.
Strengthen the effectiveness of military governance through scientific and technological innovation. Comprehensively strengthening military governance is a strategic requirement for accelerating the modernization of national defense and the military, and science and technology are important means to promote the modernization of military governance capabilities. At present, our military construction is at a critical stage of improving quality and efficiency. We must use scientific thinking to update governance concepts, strengthen system concepts, strengthen overall coordination, focus on aggregating governance resources, reducing governance costs, and improving governance effectiveness, and improve the systematicity, integrity, and coordination of military governance. We must use scientific and technological means to improve strategic management, strengthen the application of advanced technologies in military governance, further open up strategic management links, substantially promote the military management revolution, accelerate the construction of a modern military logistics system and a modern military asset management system, and improve the operational efficiency of the military system and the efficiency of the use of national defense resources.
We must firmly grasp the practical implementation of accelerating the transformation of science and technology into combat power
The purpose of national defense science and technology innovation is application. It must serve the construction of the troops and military combat readiness and increase its contribution to combat effectiveness. We must firmly grasp the key points of focusing, transforming and implementing science and technology into combat effectiveness, so that advanced science and technology can be transformed into real combat effectiveness as soon as possible.
Accelerate the research of key core technologies. Key core technologies are the country’s heavy weapons, an important foundation for the comprehensive strength of a modern country, and the most direct core combat power of the military. We must take practical measures to achieve practical results in close contact with military needs, clarify the direction and focus of key core technology research, distinguish between priorities, design key core technology systems, focus on being able to fight and win battles, and concentrate on breakthroughs in key core technologies. We must make every effort to tackle “stuck neck” technologies, focus on blocking points, breakpoints, and card points to make up for shortcomings, and concentrate on tackling key problems. We must aim at high-end frontiers, strengthen forward-looking, leading, exploratory, and disruptive technology research, and strive to seize the strategic commanding heights of military competition. We must increase investment in basic research on national defense, adhere to the principle of giving equal importance to free exploration and goal-oriented research, drive through major scientific and technological issues, abstract theoretical problems from major applied research, and then explore scientific laws, strive to achieve major breakthroughs in forward-looking basic research and leading original achievements, and enhance the driving force of national defense science and technology innovation.
We must do a good job in the transformation and application of innovative achievements. Achievements that are shelved are useless, while innovations that take root are worth ten times as much. We must establish a clear orientation of serving the military and fighting, pay close attention to prominent issues such as long transformation cycles and low utilization rates, and face the battlefield, the troops, and the future from the beginning of the project. We must increase the promotion and application of advanced and mature independent innovation achievements so that scientific and technological innovation can better serve combat power construction. We must promote the deep integration of national defense science and technology innovation into the national innovation system, actively discover, cultivate, and use cutting-edge technologies that can serve national defense and military construction, capture potential growth points for the development of military capabilities, and form comparative advantages and asymmetric checks and balances. We must further explore the transformation mechanism and operation model of scientific and technological achievements, adopt comprehensive measures from the aspects of improving the evaluation system, carrying out institutional reform, and improving service guarantees, so as to open up the innovative chain of scientific and technological achievements from basic research, applied research, technology development to military application, and provide strong scientific and technological support for winning information-based and intelligent wars.
Continuously improve the scientific and technological literacy of officers and soldiers. Accelerating the transformation of science and technology into combat effectiveness requires officers and soldiers of the whole army to master new equipment, improve new skills, explore new tactics, and enhance scientific and technological cognition, innovation, and application. We must continue to increase the intensity of learning and applying scientific and technological knowledge, so that our own scientific and technological literacy will always be in sync with the development of the times and resonate with job requirements. In particular, leading cadres at all levels must take the lead and strive to become leaders in learning high-tech knowledge, guides in practicing science and technology to strengthen the army, and people who understand information warfare. We must strengthen scientific and technological training, make good use of scientific and technological forces, significantly increase the scientific and technological content of training, keep a close eye on strong enemies in training, aim at learning on future battlefields, and strive to transform the scientific and technological advantages of the troops into capability advantages and combat advantages. We must take improving the scientific and technological literacy of officers and soldiers as a basic task, popularize scientific knowledge and promote the scientific spirit throughout the army, and pool the wisdom and strength to win the battle to achieve the goal of building the army for the centenary.
■Innovation Theory Research Center of the National Defense Science and Technology University Party
Technological innovation is the core element for the development of new quality productivity and a powerful engine for generating new quality combat effectiveness. Since the 18th National Congress of the Party, President Xi has deeply grasped the new military changes and the internal laws of the strong army. Making a major assertion that science and technology is the core fighting power clearly proposes and fully implements the strategy of the strong army of science and technology, and continuously promotes the transformation of our army construction model into innovation-driven development. . On the new journey, we must adhere to the driving force of innovation, promote the efficient integration of new quality productivity and new quality combat effectiveness, and pull in both directions, and continuously increase the contribution rate of technological innovation to the construction of the military and the development of combat power.
Deeply understand the internal logic of technological innovation to promote combat effectiveness
Science is a revolutionary force that has played a role in promoting history. Chairman Xi’s important statement that technology is the core fighting power clarifies the inherent logic of technological innovation and the development of combat power, and provides scientific guidance for accelerating the advancement of national defense and military modernization.
Technological innovation has driven up the endogenous elements of combat effectiveness. Marxism believes that the basic elements of combat effectiveness are people, weapons and equipment, and the way people combine with weapons and equipment. Technology is not an independent element of combat power, but it penetrates deeply and integrates into the components of combat power, becoming a leading force for the growth of combat power. From a human point of view, with the continuous development of science and technology, the technical composition of the military is becoming more and more complex, and the degree of specialization is getting higher and higher, which puts more and more demands on the comprehensive quality of people. From the perspective of weapons and equipment, it is itself the materialization performance of science and technology in the military field. Not only does its design and research and development reflect the application of scientific and technological innovation achievements in the military field, but its production and manufacturing process is also high-tech production equipment, high-quality production processes and high-level The result of joint role such as scientific management. From the perspective of the combination of man and weapon, whether it is to stimulate military theoretical innovation, lead system adjustment, or catalyze operational command change, science and technology are increasingly active and revolutionary factors, and have become the catalyst for achieving the optimal combination of man and weapon. It can be said that the more advanced science and technology, the higher the degree of war informatization and intelligence, the more obvious the role of technology in reshaping and enhancing combat effectiveness.
Technological innovation leads the development direction of new quality combat power. Looking back at history, every breakthrough in military technology is an important driving force for the gradual disintegration of the old combat power system and the gradual formation of the new combat power system. The invention and use of gunpowder, “ blasted the knight class ”, and gradually made infantry and artillery the main force on the battlefield; military technological innovations such as tanks and aircraft are leading human warfare to the era of mechanization. At the same time, mechanized combat forces such as armored soldiers and aviation soldiers were born; the application of emerging technologies such as information network technology brought new combat capabilities such as information attack and defense. At present, a new round of technological and industrial revolutions is on the rise. Its main feature is the continuous emergence of major subversive technologies, the speed of transformation of scientific and technological achievements, the extensive application of a large number of advanced technologies in the military field, and technological innovation has become the main battlefield of international strategic games. Whoever holds the technological innovation “ cow nose ”, whoever has taken the step of technological innovation first, who can quickly improve combat effectiveness, take up technological advantages, and win the chance of winning.
Technological innovation catalyzes changes in the use of combat power. War practice shows that science and technology are the most direct, powerful, and decisive factors for military development. Each major technological advancement has triggered major changes in the form and mode of warfare. For example, the emergence of firearms has led to the disintegration of array tactics and the generation of linear tactics; in the age of informatization, integrated joint operations have become the basic form of combat, and platform operations, system support, tactical operations, and strategic guarantees have become prominent features of modern warfare. With the burst of high-tech groups such as artificial intelligence, network information, and big data, military intelligence is becoming a powerful driving force for a new round of military change, which profoundly affects future war winning mechanisms, combat rules, and methods of warfare. We must make greater efforts to promote the power of science and technology, insist on fighting against technological innovation, and master the strategic initiative of informatization and intelligent war.
Accurately grasp the scientific path to technological innovation
Innovation capability is the core competitiveness of an army and an accelerator for generating and improving combat effectiveness. We must insist on focusing on actual combat, accurately grasp the combat power to generate a scientific path, and allow technological innovation to accelerate the transformation of combat power.
Improve military training with technological innovation. The acceleration of breakthrough applications of high-tech technology represented by a new generation of information technology has provided simulation, networking, and adversarial means for actual combat training, joint war training, technology training, and rule of law training, becoming an important foundation for improving training quality and winning ability. And key guarantees. With the construction of technological empowerment training conditions, in-depth exploration of technical applications such as generating artificial intelligence, effectively integrate various fields such as land, sea, air, sky, electricity, and the Internet, construct a vivid and realistic training environment, develop combat experiments, and play chess. Advanced means such as “Technology +”“Network+” and other training methods. Change with technology empowerment training model, pay close attention to the characteristics of intelligent warfare, innovate and intelligent military training model, fully preview the next war in military training, actively develop new combat concepts and training theories, and comprehensively use “ temple calculation ”“ Intelligent calculation ”“ Improve the level of intelligent command and research, and increase the training of new models such as unmanned combat, Promote the integration of new qualitative forces into the combat system.
Promote the development of weapons and equipment with technological innovation. Technological innovation is the most active element and the most powerful driving force for the modernization of weapons and equipment. It is necessary to lead the long-term construction of the equipment system with the future combat needs brought about by the advancement of military science and technology, to achieve the leapfrog development of the weapon and equipment system, to establish the concept of generating military demand and development ideas for long-term development and focus on technological innovation, and to connect short-term and long-term development. Strategic needs. It is necessary to accelerate the upgrading of weapons and equipment and the development of intelligent weapons and equipment, strengthen the construction of high-tech weapons and equipment, and promote the modernization of weapons and equipment to accelerate into the world. It is necessary to accelerate the transition from the development of single-installation elements to the formation of system capabilities, use the network information system to connect various combat elements, and play a role in the overall effectiveness of the fist to form a joint combat capability.
Enhance military governance effectiveness with technological innovation. Comprehensively strengthening military governance is a strategic requirement to accelerate the modernization of national defense and the military. Technology is an important means to promote the modernization of military governance capabilities. At present, the construction of our army is at a critical stage of quality and efficiency. It is necessary to use scientific thinking to update the governance concept, strengthen the system concept, strengthen the overall planning, focus on aggregating governance resources, reduce governance costs, improve governance effectiveness, and improve the systemic, holistic, and synergistic nature of military governance. It is necessary to use scientific and technological means to improve strategic management, strengthen the application of advanced technology in military governance, further unblock strategic management links, substantially promote the military management revolution, accelerate the construction of a modern military logistics system, an army modern asset management system, and improve the operational effectiveness of the military system And the use of national defense resources.
Tighten the practice of accelerating the transformation of technology into combat power
The purpose of national defense science and technology innovation is application. It is necessary to prepare services for troop construction and military struggle, and increase the contribution rate to combat effectiveness. We must firmly reverse the key points of technology’s focus on combat power, transformation, and landing, so that advanced science and technology can be transformed into real combat power as soon as possible.
Speed up the key core technology offensive. The key core technology is the most important weapon of the country, an important foundation for the comprehensive strength of a modern country, and the most direct core combat power of the military. We must strive for practical results in keeping with military needs, clarify the direction and focus of key core technology offensives, prioritize priorities, design key core technology systems, focus on fighting and winning battles, and focus on breaking through key core technologies. We must do our best in the technology of the “ card neck ”, focus on the block, break, and make up the shortboard at the card, and concentrate on the attack. It is necessary to aim at the high-end frontier, strengthen forward-looking, pilot, exploratory, and subversive technical research, and strive to seize the high points of military competition strategy. It is necessary to increase investment in basic research in national defense, insist on free exploration and equal goal orientation. Driven by major scientific and technological issues, abstract theoretical issues in major applied research, and then explore scientific laws, and strive to achieve a major breakthrough in forward-looking basic research and leading original achievements. To enhance the driving force of national defense technology innovation.
Grasp the transformation and application of innovation results. The achievements of the shelves are useless, and the innovations that take root in the ground take ten. It is necessary to set up a clear guide for the army as a war, pay close attention to the outstanding issues such as long transformation cycle and low utilization rate. At the beginning of the project, it will face the battlefield, the troops, and the future, and increase the promotion and application of advanced and mature independent innovations to make technological innovations. Better serve combat effectiveness. Promote the deep integration of national defense technological innovation into the national innovation system, actively discover, nurture, and use cutting-edge and cutting-edge technologies that can serve national defense and military construction, capture potential growth points in the development of military capabilities, and form comparative advantages and asymmetric checks and balances. It is necessary to further explore the transformation mechanism and operation mode of scientific and technological achievements, from improving the evaluation system, grasping the reform of the system, and improving service security, etc., to unblock the innovation links of scientific and technological achievements from basic research, applied research, technology development to military applications. Winning the informatization and intelligent war provides strong technological support.
Continuously improve the technical literacy of officers and soldiers. Accelerating the transformation of technology into combat power requires all officers and soldiers to master new equipment, improve new skills, explore new methods of warfare, and enhance technological cognition, innovation, and application. It is necessary to continuously increase the scientific and technological knowledge, so that its own technological literacy will always develop at the same frequency as the times, and rejuvenate with the needs of the post. In particular, leading cadres at all levels should take the lead in learning high-tech knowledge and practice technology. Leader, a clear person who controls the information war. It is necessary to strengthen scientific and technological training troops, use sufficient scientific and technological power, greatly improve the technical content of training, pay close attention to strong hostile hand practice, aim at future battlefield learning, and strive to transform the scientific and technological advantages of troops into capability advantages and combat advantages. It is necessary to take the improvement of the scientific and technological literacy of officers and soldiers as a basic task, to popularize scientific knowledge and promote scientific spirit in the entire army, and to unite the intelligent forces to win and achieve the goal of building a hundred years of hard work.
Establishing normative guidelines for the management of military information dissemination on the Internet
——Interpretation of the three highlights of the “Internet Military Information Dissemination Management Measures”
Strengthening the management of Internet military information dissemination is related to the overall situation of national defense and military construction, and to the image and reputation of the people’s army. The promulgation of the “Internet Military Information Dissemination Management Measures” (hereinafter referred to as the “Measures”) has established normative guidelines for the management of Internet military information dissemination. Its implementation will surely provide a strong legal guarantee for promoting the rule of law in cyberspace, regulating the order of Internet military information dissemination, and better promoting the healthy development of Internet military media. The “Measures” not only aims to solve the practical problems of Internet military information dissemination in recent years, but also looks forward to the future trend of military information dissemination. Overall, there are three highlights:
Improved the opening standards of platforms and columns
Once military-related, confidential or negative information is disseminated, it will inevitably damage national security and the image of the military. The key to managing this kind of network chaos is to correct the source and effectively regulate the source of information dissemination. The Measures clearly regulate the opening of military website platforms, military columns on website platforms, military accounts, etc. First, Internet military information service providers must obtain licenses and perform filing procedures in accordance with the law to ensure the authenticity of their identities. Second, Internet military information service providers are encouraged and supported to establish or clearly be responsible for editing agencies for military information services, and to be equipped with full-time editors and content reviewers appropriate to the scale of services to ensure the professionalism of their capabilities. Such standardization can further improve the effectiveness of Internet military information dissemination management and effectively enhance the quality and level of Internet military media.
List of positive and negative aspects of the content being spread
In the digital age, online public opinion has become an important force in shaping social concepts and behaviors, with both the supply and dissemination of positive information and the spread of illegal and negative information. The Measures aim to turn the Internet, the biggest variable, into the biggest increment in promoting the development of the cause of strengthening the military, and refine and clarify the positive list of Internet military information dissemination content, mainly involving 11 aspects of information, including the promotion of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era and Xi Jinping Thought on Strengthening the Military, the promotion of the nature, purpose, glorious history, fine traditions and style of the People’s Army, and the reflection of the achievements of national defense and military modernization. At the same time, the Measures also detailed and clarified a list of 12 negative aspects, including harmful information that endangers national sovereignty, security and territorial integrity, and undermines the absolute leadership of the Party over the military and the responsibility system of the Chairman of the Central Military Commission. Through these regulations, Internet military information service providers and users can be effectively guided to maintain a good military-related public opinion environment, maintain a good image of the People’s Army, and safeguard national security and military interests.
Standardized the supervision chain of military accounts
Military information is highly sensitive, professional, and confidential, and must be handled by professionals. In response to the current problems of low registration thresholds for a large number of military accounts, arbitrary release of military information that disrupts the order of communication, the Measures regulate the conditions for identifying military accounts, and clarify the verification and reporting of military accounts. These requirements are in line with the national policy requirements for doing a good job in the classification and filing of mobile Internet accounts, which is conducive to further clarifying the responsibilities of website platforms and improving the pertinence and accuracy of military account supervision.
