The winning mechanism of war refers to the main factors for winning a war, the way they play a role, and the internal mechanisms, laws and principles of their mutual connection and interaction. With the advent of the intelligent era, the increasingly widespread application of artificial intelligence in the military field has promoted the transformation of the war form to intelligent warfare, and the winning mechanism of war has also changed accordingly.
Having data advantage is the basis for success
In the era of intelligence, the core foundation of many “disruptive technologies” is data, and war will also be “no data, no war”. In intelligent warfare, both sides will fight a “data war” around understanding data, relying on data, competing for data, and using data. Whoever owns the “data right” will have the initiative in the war. Fighting for data, mastering data, analyzing data, and applying data in war are the keys to winning intelligent warfare.
Data resources are combat effectiveness. In intelligent warfare, data comes first before troops move. Whoever controls the data controls the resources to win the war, and controls the initiative and the chips for victory. The ability to understand and use data is an important indicator for measuring combat capability and directly affects the outcome of the war. Obtaining data, analyzing data, and using data are not only the yardsticks for measuring the combat capability of troops, but also the new engine for improving the combat effectiveness of troops. Data is the most direct record of the objective world. It appears in the form of numbers and is raw data, such as the performance parameters of weapons and equipment, the size of troops, the number of guarantees, target parameters, etc. These data can be processed to become the information and intelligence needed for combat. In the information age led by data, data has become the blood of intelligent warfare.
Big data has given rise to a data-based battlefield. To some extent, whoever controls the data resources controls the “winning space” of the war. Data has changed the logical cognition of war. In the past, people inferred the whole from the individual and inferred the inevitability from the small probability events, but now they deduce individual characteristics from the high probability and find the internal laws of specific things from the correlation. Only by understanding the relevant data can we grasp the overall situation, only by gathering similar data can we grasp the trend, and only by integrating all-source data can we understand the connection. All of this is attributed to the control of the data-based battlefield.
Big data changes the way of fighting. As the most important strategic resource, how to distinguish the authenticity and quality of data, how to fight and counter-fight, deceive and counter-deceive, attack and counter-attack around massive data, has become a key issue in winning intelligent wars. When data becomes the focus of war, it will inevitably lead to competition and gaming around data, thereby promoting changes in the style of fighting. At present, the competition for data collection is intensifying, and major countries have launched research on national defense big data projects to provide more intelligence with practical value for military decision-making. The “asymmetry” of data forms the “asymmetry” of algorithms, and then achieves the “asymmetry” of tactics.
Data has given rise to intelligent equipment systems. Data technology has upgraded combat platforms to highly intelligent and autonomous systems. Data has enabled command and control systems, air combat platforms, precision-guided munitions, etc. to complete the transition from informatization to intelligence. For example, modern “swarm technology” is the application of artificial intelligence supported by big data. Data has become a “telescope”, “microscope” and “perspective lens” for analyzing wars. To win intelligent wars, one must have a data mind, data awareness and data thinking.
Mastering algorithm advantages is the key to success
One of the characteristics of intelligent warfare is that all battle plans, campaign plans and war plans need to be generated by computers, and its essence is algorithm-generated tactics. Having an algorithm advantage means having an intelligent advantage, which can achieve a high degree of unity of information advantage, cognitive advantage, decision-making advantage and action advantage.
Algorithm advantage dominates information advantage. Algorithm is a systematic method to describe the strategic mechanism for solving problems, and is the key and prerequisite for improving intelligence advantage. Algorithm technology mainly includes deep learning, supercomputing, brain-like intelligence and other technologies. The use of intelligent sensing and networking technology can widely and quickly deploy various types of intelligent perception nodes, and can implement active collaborative detection for tasks, thereby building a transparent and visible digital combat environment. Judging from the current development trend, the advantage of war algorithms dominates information advantage, which contains great potential to rewrite the rules of the modern war game. This pair of “invisible hands” will shape the new landscape of future intelligent warfare.
Algorithmic advantage dominates cognitive advantage. In intelligent warfare, big data can quickly convert massive amounts of data into useful intelligence after being processed by high-performance and efficient algorithms, thereby gaining cognitive advantage. Algorithms, as the “brain” of artificial intelligence, have become the key to intelligently sensing the battlefield and using it for decision-making, command, and coordination. The party with algorithmic advantage can dispel the “battlefield fog” and “information fog” caused by the failure to process data in a timely manner, making cognition more profound and thus seizing the initiative in the war. In the future, whoever has algorithmic advantage will have stronger cognitive ability, faster learning speed, and better quality results.
Algorithm advantage dominates decision-making advantage. With its high-speed and precise calculation, the algorithm can replace people’s hard thinking and repeated exploration, thereby accelerating knowledge iteration. With the support of massive data and supercomputing capabilities, the judgment and prediction results of artificial intelligence will be more accurate. By constructing combat model rules through algorithms, commanders can be assisted in making rapid decisions in multi-level planning and ad hoc handling of strategies, campaigns, tactics, etc. through actuarial, detailed, deep and expert reasoning. With the development of disruptive technologies such as big data, cloud computing, and quantum computing and their application in the military field, the future combat decision-making cycle will become near real-time. In intelligent warfare, the party that masters super algorithms can quickly propose flexible and diverse combat plans and countermeasures in response to changes in combat opponents, constantly disrupting the opponent’s established intentions and deployments, and thus seize the dominance of the war.
Algorithmic advantage leads to operational advantage. In the era of intelligent warfare, algorithms determine tactics, and algorithmic advantage leads to war advantage. Supported by superior algorithms, the reaction speed of artificial intelligence is thousands of times that of humans. “Algorithmic warfare” foreshadows the transformation of future wars. Whoever can seize the commanding heights of intelligent algorithms can seize the initiative and win before the battle. On the intelligent battlefield, algorithms are far more important than artillery shells. War algorithms have become the key factor in winning intelligent warfare and are the strategic commanding heights that future intelligent armies must seize. Intelligent warfare calculations are ubiquitous. The party that has the algorithmic advantage can quickly and accurately predict the battlefield situation, innovate combat methods, and achieve the advantage of “winning before the battle.”
Multi-domain integration is the key to success
Multi-domain integration is based on the cloud-based combat system. With the support of the cloud-based battlefield situation, various combat personnel, equipment, facilities, and environmental elements have expanded the battlefield space from the traditional three-dimensional space to the polar regions, deep sea, space, and cyberspace, and even to multi-dimensional domains such as cognitive domain and information domain. Multi-domain integration has formed a giant, complex, and adaptive confrontation system. The integration of “cloud gathering” and “network gathering” has become a new mechanism for intelligent combat.
Cross-domain integration and integrated energy release. Under the conditions of intelligent warfare, the emergence of a large number of new long-range combat platforms and intelligent new concept weapons has made the future combat landscape present the characteristics of air-ground-sea-sky integration, global instant strikes, and cross-domain strategic deterrence and control. Supported by the cross-domain, distributed, and networked “cloud killing” collaborative combat system, through the cross-domain aggregation of multiple combat capabilities, cross-domain interoperability of combat command, cross-domain sharing of combat information, cross-domain movement of combat weapons, cross-domain response of combat actions, and cross-domain complementarity of combat functions are achieved. Cross-domain integration is the close coordination of main domain control and cross-domain support to implement cross-domain collaborative support. Integrated energy release is the transition of joint operations from integrated joint operations to cross-domain joint operations, realizing the cross-domain aggregation and overall energy release of multiple combat capabilities.
Human-machine integration, using speed to defeat slowness. If weapons are an extension of the human body, intelligence is an extension of the human brain. In the era of intelligent warfare, there will be a mode of giving human intelligence to machines to implement combat. People will further withdraw from the front-line confrontation and combat, and the combination of people and weapons will appear in a new form. Unmanned combat weapons and human intelligence are deeply integrated into an organic symbiosis, perfectly combining human creativity, thinking and the precision and speed of machines. Therefore, in future intelligent warfare, the mode of engagement will gradually change from the mutual killing of “human-machine integration” to the unmanned system cluster confrontation of “human-machine integration”. Relying on the intelligent combat system, commanders adaptively adjust and select the mode of action according to changes in the battlefield environment. Unmanned combat develops from single-platform remote control combat to multi-platform cluster autonomy, forming a simple command chain of “commander-combat cluster”, highlighting the rapid, flexible and autonomous characteristics of human-machine collaboration.
Brain-intelligence fusion and efficient control. The combat system of intelligent warfare will be characterized by a highly intelligent “human + network + machine”. The intelligent command and control system will operate in a collaborative manner of “human brain + intelligent system”. The intelligent system will assist or even partially replace the role of humans in command and control. The intelligent command and control system will have relatively strong autonomous command and control capabilities, and can relatively independently obtain information, judge situations, make decisions, and deal with situations. Relying on the battlefield situation awareness system, with the help of big data, cloud computing, artificial intelligence, and modeling and simulation technology, it is possible to accurately analyze and judge massive battlefield information, realize the transformation of combat command from “human experience-centered” to “data and model-centered” intelligent decision-making methods, and make combat planning more scientific and efficient. In the future, the super self-evolution and strategic decision-making capabilities of deep neural networks will realize the combat cycle of “human out of the loop”.
Integration of intelligence and mind, attacking the mind and winning the will. With the development of artificial intelligence technology, the boundaries between the biologicalization and humanization of intelligent weapons will be blurred in the future, and the control of people themselves will become the focus. “Attacking the mind and winning the will” is still the highest combat purpose of intelligent warfare. “Cognitive control warfare” based on the control of human brain and consciousness cognition may evolve into an important combat style. With human cognitive thinking as the target, various means are used to stimulate, influence and control the cognitive system to achieve the effect of disrupting the enemy’s command and decision-making system, inducing the enemy’s combat power, and disintegrating the enemy’s morale. For example, based on brain reading and brain control technology, using mental guidance and control means, the strategic intentions, combat intentions, and combat methods of the enemy commander can be grasped in real time, and even directly act on the brain of the enemy personnel, or the consciousness of the party can be “injected” in the form of EEG coding to interfere with or control their consciousness, thinking and psychology, and finally seize the “right to control intelligence” and achieve deep control over combat personnel. With the large-scale application of intelligent combat platforms on the battlefield, information systems assisting humans will gradually transform into intelligent systems partially replacing humans. The focus of the power struggle will shift from “information rights” to “intelligence rights”, and using elite troops to gain control of key domains will become the dominant approach.
At present, judging from the reform and development of the establishment system in major countries in the world, the military is developing towards a lean, small, efficient, intelligent, and integrated “man-machine (robot-drone)” direction, seeking to coordinate and fight together with robot soldiers, drones and human soldiers. According to statistics, the armies of more than 60 countries in the world are currently equipped with military robots, with more than 150 types. It is estimated that by 2040, half of the members of the world’s military powers may be robots. In addition to the United States, Russia, Britain, France, Japan, Israel, Turkey, Iran and other countries that have successively launched their own robot warriors, other countries have also invested in the research and development of unmanned weapons.
The world’s military powers will set off a wave of forming unmanned combat forces to compete. The so-called unmanned combat forces are a general term for combat robots or battlefield killing robot systems. With the development of various types of information-based, precise, and data-based weapons and equipment, intelligent platforms have become the driving force for pre-designed battlefields, combat robots have become the main force on the battlefield, and the combination of man and machine has become the key to defeating the enemy. In the future, battlefield space forces will highlight the three-dimensional unmanned development trend of land, sea, and air.
USA Today once published an article titled “New Robots Take War to the Next Level: Unmanned Warfare,” which described unmanned warfare like this: drone fleets swarm in, using sophisticated instruments for detection, reconnaissance, and counter-reconnaissance; after locking onto a target, they calmly launch missiles; automatically programmed unmanned submarines perform a variety of tasks including underwater search, reconnaissance, and mine clearance; on the ground battlefield, robots are responsible for the delivery of ammunition, medical supplies, and food… In future wars, these may become a reality.
On land, various robots that can perform specific tasks are highly integrated mobile strike platforms with mechanization, informatization, and intelligence. For example, unmanned tanks are unmanned tracked armored platforms that are mainly controlled by their own programs. They can be remotely controlled by soldiers, and are dominated by long-range attack intelligent weapons and informationized weapons. They can automatically load ammunition and launch autonomously, and carry out long-range indirect precision strikes, effectively reducing the casualties of soldiers. In the ocean, various unmanned submarines, unmanned warships, etc. can sail thousands of miles and perform various maritime combat missions without the need for onboard personnel to operate. In the air, the human-controlled drone system deployed in actual combat is a drone system platform with its own reconnaissance and judgment, human control, integrated reconnaissance and attack, autonomous attack, and human-machine collaboration.
The use of drone weapons in wars highlights their combat capabilities, which will inevitably lead the armies of countries around the world to form unmanned combat units in full swing. In the Iraq War, the United States began to test the actual combat capabilities of unmanned combat vehicles. In March 2013, the United States released a new version of the “Robotics Technology Roadmap: From the Internet to Robots”, which elaborated on the development roadmap of robots, including military robots, and decided to invest huge military research funds in the development of military robots, so that the proportion of unmanned combat equipment of the US military will increase to 30% of the total number of weapons. It is planned that one-third of ground combat operations in the future will be undertaken by military robots. It is reported that the US military deployed the first future robot combat brigade (including at least 151 robot warriors) before 2015. In 2016, the US military conducted another experimental simulation test of the “modular unmanned combat vehicle” in a multinational joint military exercise. In 2020, the US Pentagon issued a contract with a price tag of 11 million US dollars to form a “combined arms squad” with the ability to cooperate with humans and robots, and plans to complete the construction of 15 future combat brigades by 2030. All squad members have human-like vision, hearing, touch and smell, can send information and attack targets in a timely manner, and can even undertake tasks such as self-repair and vehicle maintenance, transportation, minesweeping, reconnaissance, and patrolling. The US Daily Science website reported that the US Army has developed a new technology that can quickly teach robots to complete new crossing actions with minimal human intervention. The report said that the technology can enable mobile robot platforms to navigate autonomously in combat environments, while allowing robots to complete combat operations that humans expect them to perform under certain circumstances. Currently, US Army scientists hope to cultivate muscle cells and tissues for robots for biological hybridization rather than directly extracting them from living organisms. Therefore, this combination of muscle and robot reminds me of the half-cyborg Grace in the movie “Terminator: Dark Fate”.
On April 21, 2018, the Russian Federal Security Service (FSB) special forces launched a raid against extremist terrorists in Derbent, Dagestan, and for the first time publicly dispatched armed unmanned combat vehicles equipped with machine guns as pioneers. During the 2018 Russian Red Square military parade, the United States discovered a large number of Russian “Uranus-9” robots and other combat systems that had exchanged fire with Syrian anti-government forces in southern Syria, and showed their appearance characteristics to the audience. In August 2015, the Russian army used combat robot combat companies to carry out position assaults on the Syrian battlefield. The tracked robots charged, attacked, attracted the militants to open fire, and guided the self-propelled artillery group to destroy the exposed fire points one by one. In the end, the robot combat company took down the high ground that is now difficult for Russian soldiers to capture in one fell swoop in just 20 minutes, achieving a record of zero casualties and killing 77 enemies.
According to the British Daily Star website, after the British Army conducted a large-scale combat robot test at an event called “Autonomous Warrior 2018”, it unified drones, unmanned vehicles and combat personnel into a world-class army for decades to come. Future British Army autonomous military equipment, whether tanks, robots or drones, may have legs instead of tracks or wheels. In early 2021, after the UK held the “Future Maritime Air Force Acceleration Day” event, it continued to develop a “plug-and-play” maritime autonomous platform development system, which, after being connected to the Royal Navy’s ships, can simplify the acquisition and use of automation and unmanned operation technologies.
In addition to the development of robots by Russia, the United States, and the United Kingdom, other powerful countries have also successively launched their own robot warriors. It is expected that in the next 20 years, the world will usher in robots on land, sea, and air to replace soldiers to perform high-risk tasks. The future battlefield will inevitably be unmanned or man-machine integrated joint combat operations. The world’s military powers will launch a human-machine (drone) integrated combat experiment
The style of air combat is always evolving with the advancement of aviation technology. Since 1917, with the successful development of the world’s first unmanned remote-controlled aircraft by the United Kingdom, the family of unmanned equipment has continued to grow and develop, and various drones are increasingly active in the arena of modern warfare.
Since the 21st century, with the large number of drones being used on the battlefield, the combat style has been constantly updated. In the Gulf War, drones were limited to reconnaissance, surveillance and target guidance, but in the Afghanistan War, Iraq War and the War on Terrorism, the combat capabilities of drones have become increasingly prominent, and the combat style and methods have shown new characteristics, allowing countries around the world to see drones as a sharp sword in the air, thus opening the prelude to the integrated combat test of man-machine (drone).
It is reported that the total number of drones in NATO countries increased by 1.7 times between 1993 and 2005, reaching 110,000 by 2006. The United States, other NATO countries, Israel, and South Africa all attach great importance to the development and production of unmanned reconnaissance aircraft and multi-purpose drones.
In 2019, more than 30 countries in the world have developed more than 50 types of drones, and more than 50 countries are equipped with drones. The main types are: “password” drones, multi-function drones, artificial intelligence drones, long-term airborne drones, anti-missile drones, early warning drones, stealth drones, micro drones, air combat drones, mapping drones, and aerial photography drones. The main recovery methods: automatic landing, parachute recovery, aerial recovery, and arresting recovery.
On September 14, 2019, after Saudi Aramco’s “world’s largest oil processing facility” and oil field were attacked, the Yemeni Houthi armed forces claimed “responsibility for the incident” and claimed that they used 10 drones to attack the above facilities. On January 3, 2020, Qassem Soleimani, commander of the “Quds Force” under the Iranian Islamic Revolutionary Guard Corps, was “targeted and eliminated” in a drone raid launched by the United States at Baghdad International Airport in the early morning of the Iraqi capital. At the end of 2020, in the battle between Armenia and Azerbaijan in Nagorno-Karabakh (Nagorno-Karabakh region), it was obvious that drones played an important role in the conflict between the two sides. In particular, many military experts were shocked by the videos that the Azerbaijani Ministry of Defense kept releasing of the TB-2 “Flagship” and Israeli “Harop” suicide drones just purchased from Turkey attacking Armenian armored vehicles, artillery, cars and even infantry positions and S-300 air defense missiles. In December 2020, local conflicts in the Middle East and Transcaucasus showed that drones are playing an increasingly important role. Based on this, some military experts even predicted that the 21st century will be the “golden age” for the development of drones. Drones are bound to completely replace manned aircraft and become the “battlefield protagonist” of the 21st century.
Currently, the US Air Force plans to expand the teaming of manned and unmanned platforms between drones and manned aircraft, and by 2025, 90% of fighters will be drones. In other words, larger aircraft (F-35 fighters or F-22 fighters) can control a nearby drone fleet. For example, the F-35 fighter is like a flying sensor computer, which can obtain a large amount of data, and communicate, analyze and judge on its own, and finally upload the conclusion to the pilot’s helmet display. The pilot analyzes and processes the information obtained, formulates a combat plan based on the combat plan, battlefield situation, and weapons equipped by the formation, and then issues it to the drone… to achieve the purpose of manned aircraft commanding drones to cooperate in combat. In other words, the mixed formation of manned and unmanned aircraft will change the previous ground control to air control of drones, and the pilot will directly command the combat operations of drones. The US military envisions a modular design so that soldiers can assemble drones after taking out the parts of drones from their backpacks when needed in future battlefield operations, and can also use 3D printing drones. In August 2020, the U.S. Air Force defeated top F-16 fighter pilots in a simulated air battle with AI, which also proved that AI pilots can “think” creatively and quickly, and it may not be long before they surpass the skills of human pilots. The U.S. Navy’s new MQ-25 “Stingray” carrier-based unmanned tanker will be tested in 2021 and have initial operational capability in 2024, which will help expand the combat radius of aircraft carriers.
Since 2013, Russia has been equipped with a large number of drones, of which unmanned reconnaissance aircraft alone exceeded 2,000 by the end of 2019, most of which are light drones, such as the Kalashnikov drones that participated in the military operations in Syria. In the next step, each brigade or division-level unit of the Russian Army will have a drone company, and the airborne troops will also be equipped with a large number of drones. The Russian Northern Fleet will have a drone regiment, and some modern Russian warships will also be equipped with drones. In addition, from 2021, the “Orion” reconnaissance and strike drone developed by the Kronstadt Group will be equipped with the Russian army. This heavy drone can carry a variety of guided ammunition to perform combat missions. In addition, the Russian army is also testing two heavy drones, the “Altair” and the C-70 “Hunter”. These are enough to show that Russia has made significant progress in the field of drone research and development.
Israel is a true pioneer in the field of drones. The drones it develops are not only advanced, but also exported to other countries. It has equipped its troops with hundreds of drones, including the “Bird’s Eye” series of single-soldier drones, the “Firefly” drone, the light “Skylark-I” drone, the light “Hero” drone, the medium “Skylark-II/III” drone, the “Heron” drone, etc. In the mid-1980s, Israel had developed a land-based launch and patrol drone named “Harpy” or “Harpy”. The Harpy is a “suicide drone” capable of autonomous anti-radar attacks. It weighs 135 kg, can carry 32 kg of high explosives, and has a range of 500 km. Due to confidentiality reasons, the specific number and type of drones equipped by the Israel Defense Forces are not yet known. In order to deal with threatening targets such as enemy ground-to-ground missiles, Israel Aircraft Industries is developing a high-altitude, long-flight stealth unmanned fighter. The aircraft combines stealth technology with long-range air-to-air missiles, can carry Moab missiles, penetrate into the rear of the enemy’s battle zone, and intercept and attack ground-to-ground missiles in the boost phase.
On February 5, 2013, the British army stationed in Afghanistan used a micro unmanned helicopter for the first time to carry out front-line work of spying on military intelligence. This unmanned helicopter is equipped with a micro camera, which can transmit the captured images to a handheld control terminal in real time; it can fly around corners and avoid obstacles to identify potential dangers. Next, the UK plans to enable one manned aircraft to command five unmanned aircraft at the same time. According to a report on the website of the British “Times” on January 26, 2021, the British Ministry of Defense invested 30 million pounds to develop the first unmanned aerial vehicle force in Northern Ireland. According to reports, the contract for the design and manufacture of the prototype has been given to the American “Spirit” Aerospace Systems. The company has a branch in Belfast, and the contract is expected to provide 100 jobs. The British Ministry of Defense plans to start manufacturing the first prototype of this new type of unmanned aerial vehicle by 2025. It will be equipped with missiles, reconnaissance and electronic warfare technology equipment, becoming the British Army’s first unmanned aerial vehicle capable of targeting and shooting down enemy aircraft and avoiding surface-to-air missile attacks. Its partner manned fighters will be able to focus on missions such as electronic warfare, reconnaissance and bombing, thereby reducing costs and the high risks faced by British aircrews.
The French Navy will form its first carrier-based drone squadron at a base near Toulon, the 36F carrier-based aircraft squadron of the French Naval Aviation. The squadron will be equipped with S-100 drones and carried on the Navy’s Mistral-class amphibious landing ship. The formation of this carrier-based drone squadron reflects the French Navy’s desire to integrate drone expertise into a single professional team. Previously, the French Navy discussed the establishment of a dedicated drone squadron and the option of equipping the 31F, 35F or 36F squadrons with drones.
At the Paris Air Show in June 2004, the full-scale model of the NX70 Neuron unmanned combat aircraft displayed by the French Dassault Aviation Company rekindled people’s interest in the development of European drones. Iran, Turkey, the United Arab Emirates…some new countries have disrupted the geopolitical landscape of drones and are writing a new page.
It can be predicted that drones will become the biggest highlight in the development of weapons and equipment in various countries around the world, and become the “trump card” of land warfare, naval warfare, air warfare, and space warfare in the 21st century. It will become a new combat force in offensive and defensive operations. It can not only use the various ground attack weapons it carries to strike enemy ground military targets in frontline and deep areas, but also use air-to-ground missiles or bombs to suppress enemy air defense weapons; it can not only use weapons such as anti-tank missiles to attack enemy tanks or tank groups, but also use weapons such as cluster bombs to bomb enemy ground forces; it can not only detect targets and judge the value of targets and then launch missiles autonomously, but also deceive and interfere with enemy command and control systems, etc. The world’s military powers will set off a battle to form a “man-machine (robot drone)” integrated force
With the deepening of military-civilian integration, the rapid development of artificial intelligence technology, and the rapid development of big data, cloud computing, and the Internet of Things, not only will the development of unmanned weapons and equipment bring about tremendous changes, but it will also subvert the existing military force formation form. The “human-machine (robot-drone)” integrated intelligent army is bound to come.
In December 2015, in addition to sending traditional combat forces to the Syrian battlefield, the Russian army also sent a robot combat company mainly composed of unmanned combat platforms to participate in the battle for the first time. The company adopted a new combat mode of mixed manned and unmanned formations, built an intelligent combat system with the “Andromeda-D” automated command system as the core, and launched an attack on Hill 754.5 using a combination of full-dimensional reconnaissance and saturation attack, successfully seizing the hill. A few years ago, U.S. Navy officials in charge of expeditionary operations mentioned the vision of building a thousand man-machine combined warships, that is, a larger fleet of unmanned ships controlled by humans and coordinated with each other. The U.S. Navy announced that it plans to build an unmanned fleet of 10 large unmanned surface ships in the next five years for independent operations or joint operations with surface forces. According to the conceptual plan currently disclosed by the U.S. Navy, the unmanned fleet composed of large unmanned surface ships will mainly assist the Navy in completing highly dangerous combat missions. By combining with the Aegis combat system and other sensors, the coordinated combat capabilities of manned and unmanned systems will be enhanced. Its deployment will help reduce the demand for the number of large manned warships and reduce casualties in combat. According to the National Interest Network on January 20, 2021, the U.S. Navy Chief of Operations Michael Gilday released the “Navigation Plan of the Chief of Naval Operations” document on January 11, calling for the establishment of a mixed fleet of man-machine ships including large warships, various types of unmanned ships, submersibles and air strike equipment to prepare for all-domain operations in the new threat environment in the next few decades. The document states: “It is necessary to establish a larger fleet of underwater, surface and water platforms that meet the strategic and campaign needs of the troops, and a mixture of manned and unmanned platforms.”
In the “man-machine (robot-drone)” integrated forces, artificial intelligence technology is used to achieve an organic combination of “man-machine”, and cloud computing, new algorithms, and big data are used to formulate “man-machine” collaborative combat plans. Artificial intelligence is like an engine, big data + cloud computing is like a spaceship, and intelligent robots are astronauts. The organic combination of the three will surely add wings to the tiger and integrate man and machine. The future army is a human-machine integrated army. The squad and platoon commanders are gradually replaced by robots. Robots are gradually transformed from human control to autonomous decision-making or mind control through human brain cells. There may also be canteen-free barracks in the military camps. The military management may also be led by one or several military personnel to lead multiple or even dozens of intelligent robot teams with different division of labor tasks to complete the combat training management tasks that were previously completed by squads, platoons, and companies. Or there may be only one military commander in the command and control center for military training, and all intelligent robots in the training grounds may be controlled through video command and control for confrontation training, or remote control robot commanders may issue new training instructions, adjust task deployment, and change training grounds in real time.
The urgent need for the intelligent quality of military talents will also force the readjustment of the setting of the first-level military disciplines in the field of artificial intelligence. In the future, military academies will also open intelligent robot control disciplines, establish relevant human-machine integration laboratories and training bases, and focus on training intelligent professional military talents who understand computer control programs, intelligent design and management, image cognition, data mining, knowledge graphs, and can systematically master intelligent science and technology and have innovative consciousness. Future military talents must be proficient in intelligent technology, big data applications, and cloud computing, especially in the use of 3D or 4D printing technology to make various military equipment at any time, proficient in the control procedures, command methods, command issuance, and adjustment of tasks of intelligent robots, and proficient in the essentials of human-machine integrated autonomous combat coordination, so as to achieve the best combination of human information technology quality and efficient operation of intelligent robots. In addition, it is not ruled out that human-machine integration squads, combat simulation centers, imaginary enemy forces, combat units, intelligent headquarters, unmanned brigades, divisions, etc. will be established. By then, the military chief may also have one human and one machine, or the robot may serve as a hand or deputy.
With the accelerated application of cutting-edge technology in the military field, intelligent unmanned systems have become an important part of modern warfare. The world’s major military powers attach great importance to the application of intelligent unmanned system technology in the military field. In the future, intelligent unmanned systems will have a profound impact on combat methods and subvert the rules of war. As a culmination of cutting-edge science and technology (such as artificial intelligence, intelligent robots, intelligent perception, intelligent computing, etc.), intelligent unmanned systems represent the highest level of development of a country’s scientific and technological strength. Therefore, research in the field of intelligent unmanned systems can greatly promote the development of existing military and livelihood fields. At present, unmanned system equipment has emerged in military conflicts. For example, in the conflict between Turkey and Syria, Turkey used the Anka-S long-flight drone and the Barakta TB-2 reconnaissance and strike drone equipped by the Air Force to attack the Syrian government forces; the Russian Ministry of Defense also announced that militants in Syria used drones carrying explosives to launch a cluster attack on its military bases; in 2020, the United States used an MQ-9 “Reaper” drone to attack a senior Iranian military commander and killed him on the spot. Unmanned combat is coming, and intelligent unmanned systems, as a key weapon on the future battlefield, will determine the victory of the entire war.
Image from the Internet
The development of intelligent unmanned systems will not only promote the upgrading and progress of existing military technology, but also drive the intelligent development of civilian technology, including intelligent transportation systems, smart home systems, intelligent manufacturing systems and intelligent medical systems. In order to develop intelligent unmanned systems more scientifically and rapidly, major scientific and technological powers have introduced a series of plans and routes for the development of intelligent unmanned systems, striving to seize the initiative and commanding heights in the development of intelligent unmanned systems. Related ones include the United States’ integrated roadmap for autonomous unmanned systems, Russia’s national weapons and equipment plan, the United Kingdom’s defense innovation technology framework, China’s new generation of artificial intelligence development plan, and Japan’s medium- and long-term technology plan. In recent years, from air to space, from land to sea, various types of intelligent unmanned systems have emerged in large numbers. The world’s major powers have gradually deployed intelligent unmanned systems into the military, and in some regional conflicts and anti-terrorism battlefields, the key role of intelligent unmanned systems is increasing. Therefore, this article will focus on the military needs of the future battlefield, based on the challenges of the actual complex environment faced by the future battlefield, analyze the key technologies required for the development and application of intelligent unmanned systems, and analyze the key technologies of individual enhancement and cluster enhancement from a military perspective, and explain the development trend of intelligent unmanned systems.
Current research status at home and abroad
The concept of intelligent unmanned system has only been proposed recently. At present, its research is still in its early stages, and there is no unified definition in the world. It is temporarily defined as: an organic whole composed of an unmanned platform and several auxiliary parts, with the ability to perceive, interact and learn, and capable of autonomous reasoning and decision-making based on knowledge to achieve the goal. Intelligent unmanned systems can be divided into three major parts: land unmanned systems, air unmanned systems and marine unmanned systems according to the spatial scope of their functions. Among them, land unmanned systems mainly include reconnaissance unmanned vehicles, transport unmanned vehicles, combat unmanned vehicles, obstacle removal unmanned vehicles, bomb disposal unmanned vehicles, unmanned vehicle formations and command systems, etc.; air unmanned systems mainly include reconnaissance drones, combat drones, logistics transport drones and drone formations, etc.; marine unmanned systems mainly include reconnaissance unmanned boats, combat unmanned boats, logistics transport unmanned boats, patrol search and rescue unmanned boats, reconnaissance unmanned submarines, combat unmanned submarines and shore-based support systems, etc. This section will explain the current research status of intelligent unmanned systems at home and abroad from the above three parts. ⒈ Current status of foreign intelligent unmanned system research ⑴ Land unmanned system Land unmanned systems are mainly used in intelligence collection, reconnaissance and patrol, mine clearance and obstacle removal, firepower strike, battlefield rescue, logistics transportation, communication relay and electronic interference. As the advantages of land unmanned systems in combat become more and more prominent, research on them has attracted more and more attention from various countries. The United States launched the “Joint Tactical Unmanned Vehicle” project in November 1993, which is the predecessor of the “Gladiator” unmanned combat platform project. In 2006, the United States completed the design of the entire system of the “Gladiator” unmanned combat platform and officially equipped the Marine Corps in 2007. The “Gladiator” tactical unmanned combat platform is the world’s first multi-purpose combat unmanned platform. It is equipped with sensor systems such as day/night cameras, GPS positioning systems, and acoustic and laser search systems. It is also equipped with machine guns, submachine guns, tear gas, sniper systems, biological and chemical weapons detection systems, etc. It can perform reconnaissance, nuclear and biological weapons detection, obstacle breakthrough, anti-sniper, firepower strike and direct shooting in different weather and terrain. The Gladiator unmanned combat platform is equipped with a highly mobile and survivable chassis. For this platform, a portable handheld control system has also been developed, and a series of development work has been completed around the technical issues of the control system’s anti-interference, network interoperability, miniaturization and ease of operation. However, due to the weak armor protection capability of the Gladiator unmanned combat platform and the poor concealment of its mission, its long-range reconnaissance and control system faces more interference. In addition, the US Army has also put some other land unmanned systems into service, such as the Scorpion robot and the Claw robot. In 2017, the US Army formulated the Robotics and Autonomous Systems (RAS) Strategy, which provides a top-level plan for the construction of unmanned combat capabilities. Figure 1 shows the US land unmanned system.
Figure 1 US land unmanned system Israel, Russia, the United Kingdom and Germany have also successively carried out the development of land unmanned systems and developed a series of advanced products. The product list is shown in Table 1. For example, the “Guardian” series of autonomous unmanned vehicles developed by Israel can combine the sensors and fusion algorithms on board to autonomously detect and identify dangerous obstacles, and perform patrol, surveillance and small-scale fire strike tasks; the MARSA-800 unmanned vehicle developed by Russia can perform tasks such as transportation and logistics support, tracking and surveillance, and can realize autonomous path planning and avoid obstacles during the execution of tasks. The unmanned vehicle has been deployed on the Syrian battlefield. The United Kingdom and Germany also started research on land unmanned systems earlier. The United Kingdom launched a trolley bomb disposal robot in the 1960s, and later launched the Harris T7 tactile feedback robot for performing dangerous tasks such as bomb disposal and bomb disposal; the “Mission Master” ground armed reconnaissance unmanned vehicle developed by Germany’s Rheinmetall is mainly used to perform tactical surveillance, dangerous object detection, medical evacuation, communication relay and fire support tasks.
Table 1 Land unmanned systems of various countries
⑵ Aerial unmanned systems Aerial unmanned systems are mainly based on single drone platforms and drone clusters. Due to their advantages such as wide field of view, freedom of flight, and good equipment carrying capacity, drones are widely used in the military field and have played a great role in military conflicts in recent years. The main functions of aerial unmanned systems include: intelligence gathering, reconnaissance and surveillance, decoy target aircraft, target tracking, tactical strikes and air rescue. In 2000, the U.S. Air Force Research Laboratory proposed the concept of autonomous combat for unmanned aerial vehicles, quantified the degree of autonomy of unmanned aerial vehicles, and formulated a development plan. The quantitative content and development stage of the degree of autonomy of unmanned aerial vehicles are shown in Figure 2.
Figure 2 Autonomous control level and the trend of autonomous
unmanned aerial vehicles In 2003, the United States merged the unmanned combat aircraft system projects of the Air Force and the Navy, launched the “Joint Unmanned Combat System” (J-UCAS) project, and began research on the unmanned combat aircraft X-47B. In 2006, the U.S. Navy proposed the “Navy Unmanned Combat Air System” (N-UCAS) project, which aims to introduce unmanned combat aircraft to the aircraft carrier-based aircraft wing and continue to conduct research on the X-47B. Between 2012 and 2014, the aircraft carrier catapult, landing, touch-and-go and other tests were completed many times, and the autonomous aerial refueling test was completed in 2015. The X-47B attack drone is an autonomously maneuverable, stealthy, and land-based and ship-based unmanned combat aircraft. It has the characteristics of high range and high flight time, and is equipped with advanced sensors such as illumination radar, optoelectronic guidance system, and aperture radar. Its main functions include intelligence reconnaissance, target tracking, electronic warfare interference, and firepower strikes. Other unmanned aerial systems developed by the United States, such as the Global Hawk, Predator, Hunter, and Raven, have also been in service in the military, as shown in Figure 3. The “Harpy” drone developed by Israel is equipped with anti-radar sensors, optoelectronic guidance systems and missiles, and can autonomously attack enemy radar systems, as shown in Figure 3.
Figure 3 Aerial Unmanned Systems of Various Countries
A single aerial unmanned system is easily interfered with and attacked when performing a mission, resulting in mission failure, while an aerial unmanned system cluster can make up for this defect and give full play to the advantages of aerial unmanned systems. The Defense Advanced Research Projects Agency (DARPA) of the United States has successively launched the “Gremlins” low-cost drone project, the low-cost drone cluster project, the “Perdix” micro-drone airborne high-speed launch demonstration project, and the offensive swarm enabling tactics (OFFSET) project for aerial unmanned system clusters. By developing and testing the architecture, communication system and distributed control algorithm for unmanned system clusters, an autonomous control system for drone clusters has been developed, and cutting-edge scientific and technological technologies such as artificial intelligence, situational awareness, virtual reality and augmented reality have been used to enhance the comprehensive combat capability of aerial unmanned system clusters on the battlefield.
⑶ Marine unmanned systems Marine unmanned systems include two types: surface unmanned systems and underwater unmanned systems. Among them, surface unmanned systems mainly refer to surface unmanned boats (hereinafter referred to as “unmanned boats”), which are mainly used to perform tasks such as maritime search and rescue, reconnaissance and surveillance, firepower strikes, patrol security, electronic interference, logistics support and decoy target ships; underwater unmanned systems mainly refer to unmanned submersibles. Compared with manned submarines, they have the advantages of no casualties, high concealment and high autonomy, and are mainly used to perform intelligence collection, target monitoring, combat deterrence and firepower strikes. In 2018, the US Navy released the “Navy Department Unmanned System Strategic Roadmap”, and in 2019, it released the “Navy Artificial Intelligence Framework”, which provides route planning and guidance for the development of naval operations and marine unmanned systems. In terms of surface unmanned systems, the United States proposed the “American Advanced Concept Technology Demonstration Project” (ACTD), one of whose important tasks is to carry out research on the “Spartan Scout” unmanned boat. The project was completed in 2007 and tested in the Iraqi theater. The “Spartan Scout” unmanned boat is equipped with an unmanned driving system and a line-of-sight/beyond-line-of-sight communication system, as well as advanced sensors such as electro-optical/infrared search turrets, high-definition cameras, navigation radars, surface search radars, and global positioning system receivers, as well as weapons such as naval guns, anti-ship missiles, and anti-submarine sensors. It is mainly used to perform intelligence collection, target monitoring, information reconnaissance, anti-mine and maritime security tasks, and has a certain degree of autonomy. The “Sea Hunter” unmanned boat developed by the United States is equipped with sonar and optoelectronic sensors, as well as short-range and long-range radar detection systems and expandable modular sonar systems. It is mainly used to perform tasks such as identifying and monitoring suspicious targets and guiding fire strikes. The US marine unmanned system is shown in Figure 4. The “Protector” unmanned boat developed by Israel is mainly used to perform intelligence reconnaissance, suspicious target identification, tactical interception, electronic interference and precision strikes (Figure 4). The unmanned surface reconnaissance boat developed by Russia can perform rapid patrol tasks under the command of the mother ship and inspect and monitor designated areas to search for intelligence.
Figure 4 Marine unmanned systems of various countries
In terms of underwater unmanned systems, the nuclear-powered unmanned submarine “Poseidon” developed by Russia can carry conventional and nuclear warheads to perform reconnaissance and strategic nuclear strike missions, as shown in Figure 4. The “Knifefish” unmanned submarine developed by the United States can scan suspicious objects and search for intelligence by emitting low-frequency electromagnetic waves; the “Tuna”-9 unmanned submarine developed by the United States can carry a variety of standard payloads and can be used to perform offshore exploration, anti-mine, surveillance and reconnaissance (ISR) and other tasks.
⒉ Current status of domestic intelligent unmanned system research In recent years, China’s military intelligent unmanned systems have developed rapidly. This article will explain the three aspects of land unmanned systems, air unmanned systems and marine unmanned systems. In terms of land unmanned systems, the National University of Defense Technology and Sany Heavy Industry Co., Ltd. jointly developed the “Desert Wolf” land unmanned light platform, which is powered by tracks and equipped with weapon systems such as grenade launchers and machine guns. It can be used to perform logistics transportation, wounded transportation, reconnaissance monitoring, firepower strikes and other tasks. The “Longma” series of unmanned vehicles developed by Sunward Intelligent Group have strong transportation and obstacle crossing capabilities. The “Shenxing-III” military ground intelligent robot system developed by Nanjing University of Science and Technology has strong autonomous navigation and intelligence reconnaissance capabilities. The unmanned nuclear reconnaissance vehicle jointly developed by the National University of Defense Technology and Harbin Institute of Technology has high mobility and armor protection capabilities. The weapon system it carries can perform fire strikes and has certain autonomous capabilities. In terms of aerial unmanned systems, the “Wing Loong” series of unmanned aerial vehicles developed by Chengdu Aircraft Industry Group has fully autonomous horizontal take-off and landing capabilities, cruise flight capabilities, air-to-ground coordination capabilities, and ground relay control capabilities. It is equipped with multiple types of optoelectronic/electronic reconnaissance equipment and small air-to-ground precision strike weapons, and can perform intelligence reconnaissance, target tracking, fire strikes and other tasks. The “Rainbow” series of unmanned aerial vehicles developed by China have medium-altitude and long-range navigation capabilities, can carry electronic jamming systems and a variety of weapon systems, and can perform fire strikes, intelligence reconnaissance, communication jamming, radio wave jamming and other tasks; the attack 11 type unmanned aerial vehicle developed has extremely strong stealth capabilities and can carry precision-guided missiles for ground attack missions. China’s aerial unmanned systems are shown in Figure 5.
Figure 5 China’s aerial unmanned systems
In terms of surface unmanned systems of marine unmanned systems, the “Tianxing No. 1” unmanned boat, developed by Harbin Engineering University, uses oil-electric hybrid power, with a maximum speed of more than 92.6km/h and a maximum range of 1,000km. It is currently the fastest unmanned boat in the world. The boat integrates technologies such as autonomous perception, intelligent control, and autonomous decision-making, and can achieve rapid situation information recognition and danger avoidance of the surrounding complex environment. It can be used to perform tasks such as meteorological information monitoring, landform mapping, alert patrol, intelligence reconnaissance, and firepower attack. The “Jinghai” series of unmanned boats developed by Shanghai University have semi-autonomous and fully autonomous operation capabilities, and can perform tasks such as target reconnaissance, ocean mapping, and water quality testing. The “Haiteng 01” intelligent high-speed unmanned boat developed by Shanghai Maritime University is equipped with sensors such as millimeter-wave radar, laser radar, and forward-looking sonar. It can perform suspicious target monitoring, underwater measurement, maritime search and rescue, and other tasks, and has fully autonomous and semi-autonomous navigation capabilities. The JARI intelligent unmanned combat boat developed by Jiangsu Automation Research Institute is equipped with detection equipment such as photoelectric detectors and four-sided phased arrays. At the same time, it is also equipped with weapon systems such as missiles and torpedoes, which can perform tasks such as intelligence collection, enemy reconnaissance, and precision firepower strikes. The “Lookout II” unmanned missile boat jointly developed by Zhuhai Yunzhou Intelligent Technology Co., Ltd. and other units is equipped with a fully autonomous unmanned driving system and missiles and other weapons, which can perform tasks such as enemy reconnaissance, intelligence collection, and precision firepower strikes. China’s marine unmanned system is shown in Figure 6.
Figure 6 China’s marine unmanned system
In terms of underwater unmanned systems of marine unmanned systems, the “Devil Fish” unmanned submersible developed by Northwestern Polytechnical University is a bionic manta ray unmanned submersible that has completed a deep-sea test of 1025m. The “Wukong” full-sea depth unmanned submersible developed by Harbin Engineering University has successfully completed a deep dive and autonomous operation test of 10,896m. Deep-sea submersibles such as “Qianlong No. 1” and “Seahorse” developed by China have successfully completed deep-sea exploration missions.
⒊ Summary of the current state of technology At present, intelligent unmanned systems have been gradually applied to various fields of military applications, and with the development of cutting-edge science and technology, the application of intelligent unmanned systems in the military field will increase day by day. However, in the use of intelligent unmanned systems, autonomy and intelligence have not yet been fully realized. At present, the application status of intelligent unmanned system technology in the military field can be mainly divided into the following three parts:
① From the perspective of combat missions: combat missions have developed from simple reconnaissance and surveillance to mainstream confrontation operations; battlefield confrontation has changed from human confrontation to human-machine confrontation, and then to machine-machine confrontation; the application environment has changed from structured environment and laboratory environment to real battlefield environment, and will gradually develop into an augmented reality environment combining real environment and virtual reality in the future. ② From the perspective of command and control: the control method has developed from simple remote control and program control of a single machine to intelligent fusion and interactive control of human-machine, but autonomous control has not yet been fully realized; the system architecture has developed from specialization and singularity to generalization, standardization, and interoperability. ③ From the perspective of perception and decision-making: the decision-making method has changed from relying solely on people to relying mainly on people and supplemented by human-machine intelligent interactive decision-making; the perception method has changed from relying solely on sensors to obtain feature information and people to judge target attributes to target recognition and feature information acquisition based on artificial intelligence.
Key technologies of intelligent unmanned systems
As a culmination of multidisciplinary fields, intelligent unmanned systems involve many technologies, perform diverse tasks, and have complex and changeable application scenarios. For example, the air environment is rainy and foggy, with low visibility, strong winds, and light interference; the land environment has complex terrain, obstacles, interference, and dangerous pollution areas; the sea environment has wind and wave interference, ship swaying, inconspicuous targets, and irregular coastlines. Different environments and uses pose huge challenges to the research and performance of intelligent unmanned system technology. In order to adapt to the restricted and changing environment, the key technologies of intelligent unmanned systems can be summarized as autonomous perception and understanding technology in complex environments, multi-scenario autonomous skill learning and intelligent control technology, multi-task cluster collaboration technology, human-computer interaction and human-computer fusion technology, decision-making planning technology and navigation and positioning technology. This section will mainly use marine unmanned systems as examples to elaborate on the key technologies of intelligent unmanned systems.
⒈ Autonomous perception and understanding technology in complex environments Autonomous perception and scene understanding of the environment in complex environments is a prerequisite for intelligent unmanned systems to operate autonomously and form combat capabilities, which will directly affect whether the mission can be successfully completed. In view of the complexity and variability of the actual environment, especially the difficulties of wind and wave interference and ship shaking in the sea environment, intelligent unmanned systems need to complete the goals of autonomous target selection perception, obtain multimodal information, and abstract and complete understanding of information. Therefore, the autonomous perception and understanding technology of the environment of intelligent unmanned systems in complex environments needs to break through the autonomous perception technology of multimodal sensor fusion, as well as the complex scene target recognition and understanding technology.
⑴ Multimodal sensor fusion autonomous perception technology At present, the information acquisition sensors carried by intelligent unmanned systems mainly include navigation radar, millimeter wave radar, laser radar, optoelectronic payload, etc. A single sensor cannot directly obtain high-precision, dense three-dimensional scene information. It is necessary to study the autonomous environmental perception technology of multi-sensor fusion to provide support for scene understanding. Multi-sensor fusion is to carry out multi-level and multi-space information complementation and optimization combination processing of various sensors, and finally produce a consistent interpretation of the observed environment. In this process, it is necessary to make full use of multi-source data for reasonable control and use, and the ultimate goal of information fusion is to derive more useful information based on the separated observation information obtained by each sensor through multi-level and multi-faceted combination of information. By taking advantage of the mutual cooperation of multiple sensors, the data of all information sources are comprehensively processed to improve the intelligence of the entire sensor system. The natural environment of the ocean is more complex than that of land and air. Faced with special challenges such as violent swaying of ships, wind and wave interference, uneven lighting, and inconspicuous targets, the marine intelligent unmanned system needs to perform multi-sensor information fusion processing on the designated target based on the unique attributes of each sensor, and then combine the electronic chart information of the internal navigation unit of the unmanned system and the shore-based support system to build a multi-dimensional three-dimensional situation map of the sea surface environment, perform tracking, detection, identification and cognition tasks for the designated target, and finally realize the autonomous perception and complete understanding of the sea surface environment by the marine intelligent unmanned system.
⑵ Complex scene target recognition and understanding technology The key to the operation autonomy of intelligent unmanned systems lies in the ability to effectively understand the scene and target information, and accurate understanding of scene information mainly includes the construction of target semantic information and the description of scene text information. Compared with land and air environments, the natural marine environment faces unique difficulties such as wind and wave interference and violent swaying of the hull, which brings challenges to the intelligent unmanned system to fully understand the environmental information and accurately identify the designated target. Using sensors such as laser radar and high-definition cameras carried by intelligent unmanned systems, the original point cloud information and image feature information of the marine environment scene can be obtained. Using three-dimensional target detection methods based on point clouds, point clouds and image fusion, and three-dimensional scene semantic segmentation methods, etc., the intelligent unmanned system can fully recognize the scene information and accurately identify the designated target. There are mainly two types of point cloud-based methods: grid-based or voxel-based methods, and point-based methods. The grid-based or voxel-based method uses voxels or bird’s-eye views to convert the irregular point cloud of the acquired sea surface into a regular representation method, and then extracts the point cloud features. The point-based method directly extracts target features from the acquired original point cloud of the sea surface. The three-dimensional target detection method based on point cloud and image fusion combines the precise coordinates of the target in the sea scene obtained by the laser radar with the environmental texture and color information provided by the sea surface image, which is more conducive to the intelligent unmanned system to accurately identify and accurately and completely understand the target of the ocean scene.
⒉ Behavior decision-making and trajectory planning technology In actual and complex war scenes, for the complex mission environment and multiple tasks faced by intelligent unmanned systems, it is necessary to break through the behavior decision-making technology in multi-source heterogeneous environments, trajectory planning technology in dynamic/static environments, and trajectory tracking technology in complex scenes.
⑴ Behavior decision-making technology in multi-source heterogeneous environments Behavior decision-making is the key to the realization of autonomous control of intelligent unmanned systems. In the complex environment of different speeds, different relative distances, and different data types of unmanned boats, it is necessary to accurately extract effective information to make safe and reliable control instructions for the next decision of the unmanned boat. First, extract representative environmental feature information and establish a sufficient number of accurately calibrated learning data sets; then, construct a decision maker based on a deep neural network and use the established database for learning; finally, use machine learning algorithms to optimize the constructed decision maker to further improve the decision accuracy. ⑵Trajectory planning technology in dynamic/static environment Trajectory change is the most basic behavior of unmanned boats and unmanned submarines. In a complex battlefield environment, planning a feasible and reliable trajectory according to different environmental conditions is the key to the intelligent driving of unmanned boats and unmanned submarines. This technology mainly includes trajectory planning technology based on polynomials, trajectory planning technology based on multi-objective constraints, and trajectory planning technology based on positive and negative trapezoidal lateral acceleration.
⑶Trajectory tracking technology in complex scenes Tracking the planned ideal trajectory is an important task for unmanned boats and unmanned submarines. The key lies in solving the problem of high-precision and high-stability control when unmanned boats or unmanned submarines track target trajectories. The main solution is: according to the kinematic and dynamic models of unmanned boats and unmanned submarines, the corresponding actuator control quantity is output to achieve real-time and accurate tracking of the specified target, and under the premise of ensuring tracking accuracy, the autonomous intelligent steering of unmanned boats and unmanned submarines and the coordinated control of multiple actuators of each drive module are realized.
⒊Autonomous navigation and positioning technology The navigation and positioning system is a key component of the intelligent unmanned system, which can provide accurate and reliable information about the speed and position of unmanned boats or unmanned submarines. The navigation system is generally composed of gyroscopes, accelerometers, satellite receivers, etc., some of which are supplemented by visual modules, or are equipped with prior spatial position maps and physical information sensors based on actual complex environmental conditions. In order to achieve accurate execution of tasks, intelligent unmanned systems must break through navigation and positioning technology based on inertial/satellite deep information fusion, navigation and positioning technology based on inertial/astronomical information fusion, navigation technology based on visual tracking, and geophysical assisted navigation technology.
⑴ Navigation and positioning technology based on inertial/satellite deep information fusion This technology introduces the inertial information of the unmanned boat into the satellite carrier/code loop, and then uses fully autonomous, short-term, and high-precision inertial information to assist the update of satellite receiver signals, thereby realizing the complementary advantages and optimal fusion of the inertial navigation and satellite navigation of the unmanned boat.
⑵ Navigation and positioning technology based on inertial/astronomical information fusion The astronomical-based navigation system has the advantages of high autonomy and low susceptibility to interference. By using the information output by astronomical navigation and the information provided by the initial position, the position of the unmanned boat can be calculated. The fusion of inertial navigation information and astronomical navigation information can improve the robustness of astronomical navigation positioning. Inertial/astronomical combined positioning technology based on astronomical navigation assistance has become a key part of the field of autonomous navigation of unmanned systems.
⑶ Navigation technology based on visual tracking Due to the complexity of the actual battlefield environment, unmanned boats will be in a complex working environment and are easily interfered by the outside world, resulting in GPS denial, which makes the navigation system unable to be in a combined state. A single inertial navigation system has low accuracy and is prone to accumulating errors. Long-term pure inertial navigation will make the unmanned boat lose the ability to perform tasks. However, the vision-based method does not have time error accumulation. It only needs to extract the key features of the image obtained by the high-definition camera to obtain the position information of the unmanned boat and the unmanned submersible through visual algorithms and prior knowledge. The vision-based navigation algorithm is not easily interfered with, has strong robustness, and can make up for the error accumulation caused by pure inertial navigation in a GPS denial environment, and is widely used.
⑷ Geophysical assisted navigation technology Due to the unique environment of the ocean, unmanned submersibles need to sail underwater for a long time, resulting in the inability to obtain real-time and accurate satellite signals and astronomical information. In addition, due to problems such as weak underwater light, vision-based navigation methods are also limited. Therefore, by obtaining a priori spatial position map inside the ocean and using the field scene information obtained by the physical sensors carried by the unmanned submersible and matching them, high-precision autonomous navigation of the unmanned submersible can be achieved. The temporal and spatial distribution characteristics of the inherent geophysical properties of the surveyed ocean can be used to produce a geophysical navigation spatial position map. By matching the physical feature information obtained by the physical property sensor carried by the unmanned submersible with the pre-carried spatial position map, the high-precision positioning of the unmanned submersible can be obtained, and the high-precision autonomous navigation of the unmanned submersible can be realized.
⒋ Multi-scenario autonomous skill learning and intelligent control technology Multi-scenario intelligent control technology is a key technology for intelligent unmanned systems to solve complex, changeable and unstable control objects. It is an effective tool for intelligent unmanned systems to adapt to complex task requirements. In a complex marine environment, if intelligent unmanned systems want to complete real-time and accurate regional monitoring, target tracking, information acquisition and precision strikes, they must break through the autonomous skill learning technology of tasks, autonomous operation interactive control technology, and unmanned system motion control technology of human-like intelligent control.
⑴ Autonomous skill learning technology of tasks Autonomous skill learning refers to the process of learning based on prior knowledge or rules to complete tasks in the process of interaction between unmanned systems and the outside world. The autonomous learning of unmanned system operation skills is essentially a partial process of simulating human learning cognition. Intelligent unmanned systems use deep reinforcement learning-based technology to combine the perception ability of deep learning with the decision-making ability of reinforcement learning, and can achieve direct control from high-latitude raw data information input to decision output in complex sea environments. The autonomous skill learning of intelligent unmanned systems mainly includes three aspects: first, describing the complex environment of the ocean surface and the interior of the ocean, and obtaining the initial state data information of the surrounding environment; second, based on the description of the intelligent unmanned system and the complex environment of the ocean surface and the interior, mathematical modeling of deep reinforcement learning is carried out to obtain key information such as the state value function and control strategy function of the autonomous skill learning process; third, using the data information obtained by the interaction between the intelligent unmanned system and the complex environment of the ocean surface and the interior, the state value function and the control strategy function are updated to enable the marine intelligent unmanned system to learn a better control strategy.
⑵ Autonomous operation interactive control technology In the process of autonomous learning and control of tasks, the intelligent unmanned system needs to contact with the ocean surface and the complex internal environment to form a good coupling system to ensure the real-time and accurate acquisition of information on the ocean surface and the complex internal environment, and correctly and quickly carry out navigation planning, autonomous navigation control and autonomous collision avoidance of unmanned boats and unmanned submersibles. The tasks of the interactive control technology of autonomous operation of intelligent unmanned systems mainly include: the design of interactive rules and control strategies of intelligent unmanned systems; modeling methods of complex environments on the surface and inside of the ocean; online modeling and correction of the dynamics of unmanned boats, unmanned submarines and operating objects; dynamic generation and shared control methods of virtual force constraints in complex environments on the surface and inside of the ocean.
⑶ Motion control technology of unmanned systems with humanoid intelligent control The motion control technology of unmanned systems with humanoid intelligent control combines artificial intelligence with traditional control methods to solve the problem of stable and precise control of unmanned boats and unmanned submarines in actual complex marine battlefield environments. It mainly includes two aspects: the design of intelligent control algorithms for unmanned systems and the design of intelligent control strategies for unmanned systems. The design of intelligent control algorithms for unmanned systems mainly includes: hierarchical information processing and decision-making mechanisms; online feature identification and feature memory; open/closed-loop control, positive/negative feedback control, and multi-modal control combining qualitative decision-making with quantitative control; the application of heuristic intuitive reasoning logic. The design of intelligent control strategies for unmanned systems is to design reasonable solutions for unmanned boats or unmanned submarines to meet actual mission requirements.
⒌ Unmanned cluster collaborative control technology In actual combat scenarios, due to the complexity of the battlefield environment and the diversity of tasks, a single unmanned boat or unmanned submarine usually cannot meet the needs of actual tasks. The number of equipment carried by a single unmanned boat or unmanned submarine is limited, and the perception perspective and regional range are not comprehensive enough, resulting in insufficient precision and thoroughness in performing complete intelligence detection, target tracking, battlefield environment perception and comprehensive firepower strike tasks. Therefore, it has become an inevitable trend for a cluster of intelligent unmanned systems composed of multiple unmanned boats and unmanned submarines to collaboratively perform tasks. To complete the control of the intelligent unmanned system cluster, it is necessary to break through the local rule control technology of the intelligent unmanned system cluster, the soft control technology of the intelligent unmanned system cluster, the pilot control technology of the intelligent unmanned system cluster, and the artificial potential field control technology of the intelligent unmanned system.
⑴ Local rule control technology of intelligent unmanned system cluster The control technology based on local rules is the basic method for intelligent unmanned systems to control unmanned boats and unmanned submarines. It mainly lies in the designation of individual local control rules within the cluster of unmanned boats and unmanned submarines. Local rule control technology has achieved intelligent control of marine unmanned system clusters to a certain extent, but a large number of experiments are needed to obtain the parameters between the behavior of marine unmanned system clusters and the cluster model, and the values of the parameters are also very sensitive. Therefore, to achieve complete intelligent control of intelligent unmanned systems, other technologies are needed.
⑵ Soft control technology of intelligent unmanned system clusters The soft control technology of intelligent unmanned system clusters is mainly based on two requirements: First, in the intelligent unmanned system cluster, the control rules between individuals are very important. For example, the control and internal function of each unmanned boat and unmanned submarine are necessary conditions for the group behavior of the entire marine intelligent unmanned system cluster; second, the intelligent unmanned system cluster adopts a local communication strategy. With the increase of unmanned boats and unmanned submarines in the cluster system, it will not affect the state of the entire intelligent unmanned system cluster.
The soft control method is to add one or more new unmanned boats or unmanned submarines without destroying the individual rules of unmanned boats and unmanned submarines in the intelligent unmanned system cluster. These unmanned boats or unmanned submarines participate in the actions of the entire intelligent unmanned system cluster according to the same local rules, but they are controllable and can receive external instructions. After receiving the command, these unmanned boats or unmanned submarines will independently complete the corresponding tasks. The soft control method of the intelligent unmanned system cluster is to add a controllable unmanned boat and unmanned submarine on the basis of the local control rules of the unmanned system, so that it can affect the entire unmanned system cluster, and finally complete the control of the entire intelligent unmanned system group.
⑶ Intelligent unmanned system cluster navigation control technology The basic content of the intelligent unmanned system cluster navigation control technology is: under the premise that the individuals of the entire marine intelligent unmanned system cluster maintain local rules, a small number of unmanned boats and unmanned submarines in the cluster have more information and stronger information processing capabilities, and interact with other unmanned boats and unmanned submarines through local information to play a leading role, so as to achieve the purpose of controlling the entire intelligent unmanned system cluster.
⑷ Artificial potential field control technology of intelligent unmanned system In the control of intelligent unmanned system clusters, control technology based only on local rules is difficult to achieve accurate and real-time perception of the battlefield, as well as the collection and acquisition of intelligence information, tracking and identification of suspicious targets, and precise strikes on enemy areas. Artificial potential field control technology introduces the concept of potential field in physics into the control of intelligent unmanned system clusters, and uses potential functions to simulate the internal and external effects that affect a single unmanned boat or unmanned submarine. The single unmanned boat or unmanned submarine in the system cluster acts under the action of the potential function, and finally realizes the control of the entire intelligent unmanned system through the potential function.
⒍Natural human-computer interaction technology In the actual battlefield environment, intelligent unmanned systems face problems such as complex operation tasks, low level of operation intelligence, high training risks and costs, and low equipment use and maintenance efficiency. In this case, it is necessary to improve the controllability and intelligence of intelligent unmanned system equipment, and it is necessary to break through the human-computer interaction technology of intelligent unmanned systems, augmented reality and mixed reality technology of intelligent unmanned systems, and brain-computer interface technology of intelligent unmanned systems.
⑴Human-computer interaction technology of intelligent unmanned systems Human-computer interaction technology of intelligent unmanned systems refers to the command platform obtaining the image and voice information of officers and soldiers through image and voice sensors, and then using algorithms such as image segmentation, edge detection, and image recognition to extract key information such as gestures and eye gestures of officers and soldiers, and then using algorithms based on deep learning to obtain the voice information of officers and soldiers and pass it to the command platform, so as to issue the officers and soldiers’ instructions to lower-level combat units. The human-computer interaction technology of intelligent unmanned systems can improve the intelligence of task operations and the fault tolerance and robustness of the operation process, so that the officers and soldiers’ instructions can be issued to combat units more stably and effectively.
⑵Augmented reality and mixed reality technology of intelligent unmanned systems Augmented reality technology of intelligent unmanned systems is to superimpose computer-generated images on real complex combat environments, and mixed reality technology of intelligent unmanned systems is to present information of virtual scenes in actual combat scenes, and set up an interactive feedback information loop between the virtual world and officers and soldiers in a real combat environment, thereby increasing the officers and soldiers’ sense of reality in the combat environment experience. As an important development direction of immersive human-computer interaction technology, virtual reality and augmented reality for intelligent unmanned systems have a variety of different real combat application scenarios, which can effectively reduce the cost and risk of training and improve the use and maintenance efficiency of equipment during combat.
⑶ Brain-computer interface technology for intelligent unmanned systems The main function of the brain-computer interface is to capture a series of brain wave signals generated by the human brain when thinking. In actual combat environments, the brain-computer interface technology of intelligent unmanned systems extracts features and classifies the brain wave signals of commanders and fighters, thereby identifying the intentions of commanders and fighters and making corresponding decisions to cope with complex combat tasks and emergencies. The brain-computer interface technology of intelligent unmanned systems can enhance the cognitive and decision-making capabilities of commanders and fighters, greatly improve brain-computer interaction and brain control technology, and give commanders and fighters the ability to control multiple unmanned boats, unmanned submarines and other unmanned combat equipment while relying on thinking.
Future development trend of intelligent unmanned systems
Due to its advantages of unmanned, autonomous, and intelligent, intelligent unmanned systems will appear in every corner of the future battlefield. As they undertake more battlefield tasks, they will participate in different war scenarios, which will lead to a number of key problems for intelligent unmanned systems, restricting their development. The key problems faced by intelligent unmanned systems are mainly:
① Highly complex environment. The specific application environment of intelligent unmanned systems will face more and more factors. The numerous shelters in unstructured environments, the limited perception viewpoints and ranges, etc., put forward higher requirements on the environmental perception ability of intelligent unmanned systems. ② High game confrontation. The battlefield game of intelligent unmanned systems is an important means to gain battlefield advantages. The fierce mobile confrontation between the two sides of the war, as well as the many interferences caused by the enemy and the battlefield environment, have put forward new challenges to the mobile decision-making ability of intelligent unmanned systems. ③ High real-time response. In the future battlefield, the combat situation will change dramatically, the combat mode will be more flexible and changeable, and it is necessary to respond to battlefield emergencies in a timely manner, which puts forward new requirements for the real-time response ability of intelligent unmanned systems. ④ Incomplete information. In the future battlefield, due to the limitations of the battlefield environment and the existence of enemy interference, the information acquisition ability of the intelligent unmanned system will be restricted, resulting in incomplete situational awareness, loss and attenuation of battlefield situation information data, and the inability to fully obtain information on both sides of the enemy. ⑤ Uncertain boundaries. The unmanned combat mode of the intelligent unmanned system has subverted the traditional combat mode. The integration of land, sea, air and space in the future unmanned combat, as well as the social public opinion brought about by the high degree of integration with society, will have an impact on the unmanned combat of the intelligent unmanned system, thus causing uncertainty in the combat boundary.
Based on the various difficulties that will be faced above, the development of intelligent unmanned systems in the future will focus on two aspects: individual capability enhancement and cluster capability enhancement. Individual capability enhancement is mainly reflected in individual cognitive intelligence, individual autonomous operation and algorithm chipization; cluster capability enhancement is mainly reflected in improving interoperability through a universal architecture, as well as cross-domain collaborative operations, network security and human-machine hybrid intelligence.
⒈ Cognitive intelligence adapts to complex task environments In order to improve the adaptability of intelligent unmanned systems in highly complex environments, it is necessary to enhance the individual cognitive intelligence of intelligent unmanned systems. The enhancement of individual cognitive intelligence is mainly reflected in the transformation from individual perceptual intelligence to cognitive intelligence. The comprehensive acquisition of multi-source sensor information enables intelligent unmanned systems to have human semantic understanding, associative reasoning, judgment analysis, decision planning, emotional understanding and other capabilities. The development of individual cognitive intelligence of intelligent unmanned systems will be based on brain science and bionics, and will achieve intelligent understanding and accurate application of acquired information by combining knowledge graphs, artificial intelligence, knowledge reasoning, decision intelligence and other technologies, thereby improving the high real-time response capabilities of intelligent unmanned systems to emergencies.
⒉ Autonomous operation improves the task capability of single machines In order to solve the problem of highly complex tasks faced by intelligent unmanned systems in highly complex environments, it is necessary to improve the autonomous operation capabilities of single machines. This includes developing decision-making methods based on deep reinforcement learning, autonomous environmental perception and interaction methods based on multi-source information of vision and other sensors, autonomous motion planning methods for robots based on neurodynamics, and autonomous operation methods based on artificial intelligence, so as to improve the autonomous environmental modeling and positioning capabilities, autonomous decision-making capabilities, autonomous planning capabilities and autonomous control capabilities of individuals in intelligent unmanned systems, so that intelligent unmanned systems can adapt to complex environments and carry out autonomous operation tasks.
⒊ Algorithm chipization achieves high real-time response The complex environment faced by intelligent unmanned systems places high demands on algorithms and computing power. It is necessary to be able to accelerate computing in real time to achieve high real-time response to battlefield emergencies. To solve this problem, it is necessary to improve the chipization level of individual algorithms of intelligent unmanned systems, that is, to develop a new architecture of storage and computing integrated chips to improve the computing power of chips and the level of algorithm chipization. New chips based on artificial neural technology can be studied. By changing the binary computing method of digital chips and exchanging gradient signals or weight signals, the chips can work in a simulated neuron manner, simulating the parallel computing flow of the brain to effectively process large amounts of data, and obtaining the parallel computing capabilities of supercomputers, thereby greatly improving the computing power of chips and the level of algorithm chipization, and solving the problem of high real-time response of intelligent unmanned systems.
⒋ Universal architecture improves cluster interoperability In order to improve the adaptability of intelligent unmanned systems facing highly complex environments and the maintenance and support efficiency of intelligent unmanned systems, intelligent unmanned systems will continue to develop standardized command and control frameworks in the future, improve the intelligence of human-machine collaboration, and improve the modularity of the system. It is mainly reflected in:
① Developing a general artificial intelligence framework to support autonomous, precise, and real-time good coupling and collaboration between humans and machines; ② Improving the modularity and component interchangeability of intelligent unmanned systems to support rapid maintenance and configuration upgrades of intelligent unmanned systems and their members in future battlefields; ③ Improving the level of data transmission integration and the anti-interference capability of data transmission on future battlefields to reduce the rate of data interception.
⒌ Cross-domain collaboration breaks the boundaries of cluster applications
In order to improve the adaptability of intelligent unmanned systems in highly complex environments and solve the problem of uncertain boundaries during combat, it is necessary to improve the cross-domain collaborative combat capabilities of intelligent unmanned systems to make up for the lack of capabilities in a single combat domain. Through the cross-domain collaborative combat of intelligent unmanned systems, the advantages of various components can be complemented. That is, by utilizing the advantages of large search range and long communication distance of air unmanned systems, as well as long endurance and strong stability of land unmanned systems and marine unmanned systems, the advantages of different components are combined to increase the multi-dimensional spatial information perception capabilities of intelligent unmanned systems, and form a heterogeneous multi-autonomous collaborative system, thereby improving the ability of intelligent unmanned systems to complete complex tasks.
⒍ Secure network guarantees reliable application of clusters Intelligent unmanned systems face the problems of incomplete information and high game confrontation on future battlefields. Therefore, it is necessary to improve the network security protection capabilities of intelligent unmanned systems in high confrontation environments, improve flexibility in dealing with highly complex and highly variable tasks, and improve stability in the face of high-intensity network attacks. The improvement of network security protection capabilities in adversarial environments is mainly reflected in the following aspects:
① Plan reasonable data permissions to ensure data security and flexibility of task execution; ② Improve information protection capabilities, develop and upgrade information protection products for intelligent unmanned systems, and record response decisions for information explosion situations; ③ Increase the network’s deep defense capabilities, unify network security standards and levels, build network defense autonomy, and improve the network’s ability to resist attacks under network attacks.
⒎ Human-machine hybrid intelligence improves adversarial capabilities In order to solve the problem of high real-time response faced on future battlefields and improve the adaptability of intelligent unmanned systems in highly complex environments, it is necessary to combine the advantages of humans and machines to form a new hybrid intelligent mode of human-machine collaboration, that is, to develop human-machine hybrid intelligence for intelligent unmanned systems. Human-machine hybrid intelligence of intelligent unmanned systems is a new intelligent scientific system that combines physics and biology in which human, machine, and environmental systems interact. In response to the problems of high-complexity environments and high real-time responses faced by intelligent unmanned systems on future battlefields, the development of human-machine hybrid intelligence in the future is mainly reflected in the following aspects: ① Information intelligence input. At the input end of information acquisition, the information data objectively collected by the sensors of the unmanned system equipment is combined with the subjective perception information of the combat commanders to form a multi-dimensional information acquisition and information input method. ② Intelligent information fusion. After obtaining multi-dimensional data information, a new data understanding method is constructed by integrating the computer’s calculation data with the information cognition of the combat commanders. ③ Intelligent information output. After the data information is fused and processed, the computer’s calculation results are matched with the value decisions of the combat commanders to form an organically combined probabilistic and regularized optimization judgment.
IV. Conclusion Due to its autonomy, intelligence and unmanned characteristics, intelligent unmanned systems will play an increasingly important role in the future battlefield. The development of intelligent unmanned systems will also drive the development of intelligent computing, intelligent transportation, intelligent manufacturing, smart medical care, brain-like science and other disciplines. In the future, we should be guided by the mission requirements of actual complex battlefield environments, combine advanced technologies in cutting-edge disciplines such as artificial intelligence, and make overall top-level planning for intelligent unmanned systems; verify reliable airborne intelligent perception and intelligent computing equipment on different unmanned system combat platforms in land, air and marine unmanned systems, and develop reliable and stable key technologies such as unmanned system autonomous control, intelligent perception, intelligent decision-making and intelligent interaction, overcome the key difficulties of intelligent unmanned systems, and continuously improve the autonomous control, intelligent perception and intelligent decision-making capabilities of intelligent unmanned systems.
Modern warfare is accelerating towards intelligence, and the key to victory has extended from “power advantage” and “information advantage” to “intelligence advantage”. Integrating artificial intelligence technology into the field of combat command and deeply coupling it with the command and control system will bring about a large number of systematic and systemic transformations and reshaping.
Intelligent situation perception, data promotes the continuous emergence of command capabilities. Unlike information-based command, which is the key to command, intelligent combat command emphasizes the comprehensive use of data, algorithms, and computing power. Data in the combat command chain can optimize the command process, accelerate the decision-making process, and multiply the command efficiency. In combat command under intelligent conditions, the hardware system will be closely combined with efficient algorithms and powerful computing power, which can achieve rapid situation perception and accurate situation judgment, continuously shorten the combat preparation cycle, promote the transformation from data advantage to decision-making advantage and action advantage, and promote the emergence of command capabilities.
Deep human-machine interaction and intelligent algorithms promote the improvement of command efficiency. Artificial intelligence technology is the product of the cross-integration of multiple technologies. Combat command under the background of intelligence will reconstruct the basic connotation of combat command with new elements represented by “cloud, network, terminal, and group”. Through the integrated application of technologies such as voice recognition, natural language processing, and human-computer interaction, the speed of information and command flow in each node and link of command can be accelerated, and the realization of intelligent platform control and intelligent system decision-making can be promoted, and the pressure of the command subject can be released, so that it can better respond to other emergencies, and provide intelligent solutions for improving command efficiency.
The competition for intellectual property rights is fierce, and artificial intelligence promotes innovation in command technology. Under the conditions of future information-based and intelligent warfare, the technological war between data, algorithms, and computing power will intensify, and the competition for intellectual property rights will also become more intense. In the field of combat command, big data and algorithms such as deep learning and enhanced learning will have a profound impact on the timeliness of situation perception, the level of human-computer interaction, and the quality and efficiency of simulation and evaluation. The party that masters advanced technology can make decisions and judgments faster than the enemy, implement response adjustments one step ahead of the enemy, and strike and damage one step ahead of the enemy, so as to achieve better, more accurate, more complete, and more detailed planning and deployment and dynamic control.
Manned and unmanned collaboration, mission-driven iterative development of command means. Unmanned combat forces shine in armed conflicts and have a profound impact on the course of combat. How to command and control this force is a problem that must be solved in combat command under the background of intelligence. Obviously, manned and unmanned collaborative combat will be a new style of intelligent warfare. In the process of manned and unmanned collaborative combat and unmanned swarms conducting autonomous combat, targeted adjustments and optimizations can be made to the command process, command system, command authority and responsibility, and command mechanism to adapt to the needs of intelligent development.
The system support is obvious, and the computing power guarantees the efficient operation of the command system. Modern warfare is a comprehensive comparison of systems and systems. The system interconnection of combat command under the background of intelligence is becoming more and more obvious, but there are many constituent elements, complex systems, and arduous computing tasks, and there is an urgent need for machine computing power adapted to provide power support. Through intelligent computing centers, cloud computing, edge computing, etc., the advantages of machine computing power can be fully utilized to support the efficient operation of the command and control platform, provide power guarantee for situation perception, target identification, mission planning, rapid strikes, etc., and provide effective support for “information power + mobility + control + strike power”.
On October 16, the Political Bureau of the CPC Central Committee held a collective study on the research and application prospects of quantum technology. General Secretary Xi Jinping emphasized that we must fully recognize the importance and urgency of promoting the development of quantum technology, strengthen the strategic planning and systematic layout of quantum technology development, grasp the general trend, and take the initiative.
As the mystery of quantum is unveiled, people are increasingly aware that quantum technology represents the future of human society, is a strategic field that concerns national security and high-quality social and economic development, is a major disruptive technological innovation that impacts and reconstructs the traditional technological system, and will lead a new round of scientific and technological revolution and industrial transformation. It has a bright future.
The United States, the European Union, Australia, Russia and other world powers and regional organizations have been conducting research on quantum technology for many years and have done a lot of preliminary work in the field of quantum information. my country has also pressed the “accelerator” in the development of quantum technology.
Quantum thinking opens up your mind
Do you think quantum technology is very high-end, sounds vague, and even a bit illusory? Not only do you think so, but even Niels Bohr, the founder of quantum physics, once said: “If someone is not confused by quantum mechanics, he does not understand it.”
In fact, we live in the quantum world every day. Quantum is the basic unit of matter: if you divide the physical quantity piece by piece until it is small enough that it cannot be divided any further, it is a quantum. For example, a photon is the basic unit of light energy and it is impossible to divide it into half a photon.
So why can’t we feel its existence at all, and even find it difficult to understand the phenomena of the quantum world? This is because the scale we are familiar with is too different from the quantum scale. For example, a table is on the meter scale, a hair is on the millimeter scale, and the object of quantum physics is tens of millions or even hundreds of millions times smaller than the scale of a hair. If a person is reduced to a size of tens of millions of times the diameter of a hair, then the world in which humans live will follow a completely different set of rules.
In the Newtonian classical thinking model that we are familiar with, “the world is accurately measurable”, everything is an objective, precise, mechanically connected, describable and quantifiable mathematical model, just like you can calculate and analyze the whole process of a wooden block sliding down a slope with a pen. However, several key words of quantum thinking may subvert all this:
Keyword 1: “Probability”. The world is jumpy, unpredictable, and uncertain, or in other words, it is extremely complex and interconnected like the butterfly effect.
Keyword 2: “Overlap”. The world is “plural”. Before we make a choice, the choices are infinite and changing. Only when we finally make a choice, other possibilities “collapse”. At the same time, this choice provides us with infinite options for the next choice.
Keyword three: “Observer”. This is even weirder – if you observe a quantum system, it changes immediately! In other words, the state of the quantum depends on the observer.
Einstein described the quantum world as “ghost-like”. There, many natural laws that people firmly believe in will become invalid, and the perspective of understanding the universe will be completely changed. Before opening the door to the quantum world, you need to abandon all the common sense you have acquired in the macroscopic world, replace it with quantum thinking, keep your mind open, and be ready to exclaim: “How is this possible?!”
A tiny quantum has brought about two revolutions
With quantum thinking, you may understand the two “unique skills” of quantum: one is “clone” – quantum superposition, a quantum can exist in several states at the same time; the other is “remote telepathy” – quantum entanglement, a pair of entangled quantum is like a pair of twins with telepathy. At the same time, quantum is also very “weird” – indivisible and non-cloneable.
It is precisely these magical properties that enable such tiny quantum to burst out with huge energy, setting off two technological waves in human history.
As early as 1900, German physicist Planck proposed the concept of quantum, which split the “hard core” of the real world and ushered in the quantum era. A group of talented scientists such as Heisenberg, Schrödinger, and Bohr basically completed the theoretical framework of quantum mechanics.
Quantum mechanics is one of the greatest scientific discoveries of the last century. Based on quantum mechanics, modern technologies such as transistors, lasers, nuclear fusion, mobile communications, and global positioning systems have emerged, allowing humans to enter the information age, and then developed into the ubiquitous computers and the Internet, creating further prosperity for society. This is the first quantum revolution.
In the 1980s, quantum information technology was born in the information field based on quantum mechanics. For example, quantum computers, quantum cryptography, quantum sensors, etc., not only are based on quantum mechanics, but the devices themselves also have quantum world characteristics such as superposition, entanglement, non-locality, and non-cloning, breaking through the physical limits of classical technology and finding new research directions. The birth of quantum information technology is called the second quantum revolution.
Quantum technology is one of the most cutting-edge technologies at present. It is moving out of the laboratory and achieving unprecedented leapfrog development in various fields. Some even predict that, like steam engines, electricity and computers, quantum technology will become the symbol of the fourth technological revolution.
“A pair of twin stars rises”
Academician Guo Guangcan of the University of Science and Technology of China once said vividly: “The computing power of quantum computers compared with electronic computers is equivalent to the computing power of electronic computers compared with abacus.” The computers we use use the two states of bits 0 and 1 as information processing units, and can only process a single state bit that is either 0 or 1 at a time; while the quantum computing processing unit is a quantum bit, which can process 0 and 1 at the same time due to the superposition effect, just like Sun Wukong can split into dozens of bodies to fight monsters. If a light quantum computer is made using quantum technology, the computing time of a classical computer that takes hundreds of thousands of years will be shortened to a few seconds.
Therefore, as the number of quantum bits continues to increase, the more “clones” there are, the faster the calculation will be. When the number of quantum bits reaches 50, that is, 250 states exist simultaneously, how huge is this number? Converted into the thickness of a 0.1 mm A4 paper folded in half 50 times, this number is 100 million kilometers, which is close to 3/4 of the distance from the earth to the sun. When a quantum computer can reach 100 bits, it may be 100 billion times faster than a supercomputer in some directions.
How should we use such powerful computing power?
First, large-scale, high-dimensional computing problems that were difficult or impossible to solve in the past can now be quickly solved, such as typical search problems and combinatorial optimization problems, such as optimal route selection, code cracking, network threat prediction, urban traffic planning, and so on.
Secondly, artificial quantum systems can be used to simulate natural quantum systems to explore the dynamic properties of molecules. For example, once we simulate and analyze the mechanism of high-temperature superconductivity, we can design some new superconducting materials. This will open a new door for drug design, new material exploration, weather forecasting, space exploration, chemical engineering and other fields, and has great economic and social value.
What is particularly worth looking forward to is that artificial intelligence and quantum technology will coexist and evolve at the same time, “rising like a pair of twin stars.”
Gordon Moore, the founder of Intel, proposed the famous Moore’s Law: Computer computing speed doubles every 18 months or so. Without the exponential growth of silicon transistors in chips and the increasing computing power, artificial intelligence would not have achieved such remarkable results in recent years. However, today, the size of a transistor is much smaller than a flu virus, approaching the physical limit, and computer computing speed is about to reach a “bottleneck”, and artificial intelligence may face a “cold winter”.
Scientists are convinced that only quantum computing, which goes beyond classical computing, can be a strong backing for artificial intelligence to break through its limits. In particular, machine learning technology, which relies on large-scale data processing, will benefit greatly from quantum computing and generate unlimited possibilities; at the same time, artificial intelligence technology can realize self-calibration and evaluation of quantum computing, and evolve with it.
In a foreseeable period, quantum computing will gradually transition from solving optimization problems, quantum encryption communications, and molecular structure research to integrating artificial intelligence, and infiltrating various industries such as smart manufacturing, smart logistics and smart retail, and smart finance. Cloud services will be a new form of service that quantum computing can provide.
Quantum communication “weaves” quantum internet
This is the most amazing phenomenon in the quantum world: independent particles can be completely “entangled” together. Even if the two particles are at the two ends of the universe, both sides can “sense” each other’s state; as long as the state of one of the particles changes, the state of the other particle will also change instantly.
At the same time, quantum is in multiple possible superposition states, and its true state cannot be determined before it is observed. We can achieve absolutely secure communication with subversive significance by constructing particles with quantum entanglement.
With the help of the magical properties of quantum, scientists have found an unbreakable code, the only unconditionally secure encryption method currently available to humans, and the most critical link in quantum communication – quantum key distribution.
Quantum keys use single photons as carriers. Once an eavesdropper takes action, the first layer of “firewall” will be triggered – the quantum state of particles will change. The eavesdropping behavior will be immediately discovered by the user transmitting the information, and the sender and receiver will immediately stop using the key to encrypt the information content. As a “spy”, since quantum state particles cannot be copied, can’t you just intercept and measure them directly? Sorry, doing so will trigger the second layer of “firewall” – the uncertainty principle. Even if you are intercepted by an eavesdropper, there is no way to get the correct information. Quantum satellites are the most promising way to achieve ultra-long-distance quantum communication. In August 2016, the world’s first quantum science experimental satellite “Mozi” was successfully launched in China.
Quantum communication technology and quantum resources have given rise to a new functional network – quantum Internet. It will bring about a leap forward in network security, computing and science, and has broad application prospects: in addition to achieving unconditional secure communication, it can also connect multiple quantum computers to build a distributed quantum computing system, forming a large-scale computing capability that a single quantum computer cannot achieve; forming a sensor network to increase the accuracy of navigation networks such as the global positioning system from the meter level to the millimeter level; connecting optical telescopes thousands of kilometers apart to obtain a resolution equivalent to that of a monocular telescope of the same diameter, and so on.
In May 2020, the European Union stated that it would promote the integration of quantum communications with traditional network infrastructure and applications, develop satellite-based quantum cryptography that can be used for global secure key distribution, and lay the foundation for the future “quantum internet” vision.
China Military Network Ministry of National Defense Network Friday , November 13, 2020
In the era of intelligence, new scenarios and new forms such as digital twins and “human-machine intelligence” have emerged in large numbers and have been deeply applied in the military field, giving rise to a comprehensive upgrade of the war form. This upgrade is mainly manifested in the integration of combat forces, the operation mode of battlefield energy, and the dominant factors in the generation and release of combat power. Facing intelligent warfare, the organizational form of the military has accelerated its transformation and presented a new development trend.
Generate new system emergence
System science believes that when several interacting parts form a system in a certain way, they can produce new overall characteristics such as properties, characteristics, behaviors, functions, etc. that only the system as a whole has, but not the parts or the sum of the parts; and once the system is reduced to unrelated parts, these new overall characteristics will no longer exist. This characteristic that only the whole has, but the isolated parts and their sum do not have, is the overall emergence. In the confrontation of military systems in the intelligent era, emergence is mainly presented in two ways: one is the formation of swarm intelligence. That is, a single low-intelligence, relying on the group to form a high-intelligence collective behavior. This phenomenon is produced in a self-organized way after each individual in the system obeys local rules and continuously interacts. In recent years, supported by artificial intelligence technology, swarm intelligence has developed rapidly. In the military field, drone “swarm” tactics and unmanned boat “school of fish” tactics are typical applications in this regard. Another way is to form “human-machine” advanced intelligence. That is, through the effective combination and reliable operation of man and machine, a higher level of intelligence based on the “man-machine” combination is formed. This is a new intelligence that is higher than human intelligence, robots, and artificial intelligence.
In fact, the emergence phenomenon is not uncommon in human military activities, especially in military organizations with clear and stable operating rules and a strong sense of common goals and beliefs. An army with a highly consistent collective identity can play a reliable role in mutual support and self-organization and self-coordination in combat operations, and then burst out with new capabilities that far exceed the sum of the individual capabilities within the organization. Entering the era of intelligence, the system’s emergence has taken on new forms and connotations. An important trend in the transformation of the military’s organizational form is to promote the realization of highly autonomous “man-machine” collaboration by improving functional elements and setting up scientific structures, so that the entire system can burst out with new functions that are not possessed by the accumulation of elements.
Forming new intelligent bonding force
The prominent feature of information warfare is the formation of “information structural power”. That is, due to the embedding of information platforms, the information chain movement based on information systems, data chains, and sensors has broken the originally closed and separated state between combat elements, allowing the military system to form a new structure and trigger a nonlinear leap in combat power. On the information battlefield, people and weapons, weapons and weapons, people and platforms, etc., all rely on information systems to establish effective connections to achieve efficient flow of data and information. The effectiveness of commanders in investigating the situation and judging the enemy has been greatly improved, and the realization method and iteration rhythm of command intentions have undergone a qualitative leap. This revolution in the interactive method from sensors to shooters is ultimately reflected in the overall upgrade of the combat power of the military system and combat system.
Entering the era of intelligence, the connotation of “information structural power” has undergone a fundamental change. Based on the widespread use of artificial intelligence technologies such as big data and big models, problems such as “information redundancy” and “decision-making delays” that have troubled commanders in the information age have been alleviated. The “cloud brain” decision-making and planning, the “human-machine” coordination of command and control, and the automation of action coordination have made the overall intelligence of the entire combat system higher. The reason why new models and methods such as “autonomous decision-making”, “order-based coordination” and “unmanned strikes” can be realized is the result of “wisdom” empowerment on the intelligent battlefield. The effective “glue” from the integration of several unit intelligent agents into a consensus-based, large-scale comprehensive intelligent agent is a higher level of intelligent bonding. To accelerate the transformation of the military’s organizational structure, we must establish scientific working and driving mechanisms on the basis of improving its structure and functions, build an autonomous, intelligent and efficient system link, allow the vitality of all combat power elements to compete and burst forth, and allow all sources of the military’s modernization to flow fully.
Reflecting the overall new quality of combat capability
New-quality combat power is a brand-new combat capability that is fundamentally supported by new-quality combat forces and is different from traditional combat capabilities in terms of mechanism, logic, and generation method. Therefore, simply designating a certain type of force as a new-quality force does not necessarily lead to the formation of new-quality combat capabilities. Just like using rifles as cold weapons, large combat platforms as vehicles, and network forces for attacking and defending cities, although from the external appearance, the elements of combat force composition and personnel ratios have changed greatly, the way people interact with weapons, the way weapons are used, and the way unit combat power is generated and released have not changed in essence, and they are far from being called new-quality combat power.
New quality combat power comes from the new combat capability of new combat forces, from the effective integration of a series of new combat capabilities, and from the new capabilities generated by the integration and innovation of new capabilities. Whether comprehensive and systematic new quality combat power can be generated is an important criterion for judging whether the modernization of organizational form for intelligent warfare is effective. To accelerate the transformation of the organizational form of the military, it is necessary to generate new “information structure power” within the military system through the optimization of system structure, operation mechanism, and energy form, and then use it to emerge a new and revolutionary system combat power.
Give full play to the structural frame support
Structure determines function. In engineering structures, the structural framework mainly refers to the key support for the balance of the beam-column system and the stability of the structure. This concept is transferred to organizational form management, and is mainly used to describe the link relationship and the action space for the effective interaction of various elements in the military organization. To give full play to the structural framework support of the organizational form involves two aspects: static support and dynamic support. The so-called static support is to focus on forming a scientific military organization force structure and to set up a scientific military organization structural framework as much as possible. It involves the scientific configuration of various elements in the combat power system, which is specifically manifested in three aspects. The first is the ratio of combat elements and force units. For example, the composition ratio of the military services in the combat system, or the ratio of military services, the ratio of offense and defense, the ratio of personnel and equipment, etc. The second is the distribution of combat elements and force units. It mainly refers to the scientific deployment of combat forces on the battlefield, the distribution and configuration of various combat elements within the troops, and the evolution and development of the battlefield situation. The third is the hierarchical setting and morphological design of the system. Including the hierarchy of the army, the level of integration, the command system, the command method, etc. Dynamic support emphasizes that the structural support of an organization is also a specific organizational operational capability, including the ability of the military organization to operate efficiently and exert its effectiveness under the established configuration framework, and also the ability of the organization to quickly adapt and respond to changes in the external environment and adjustments in internal needs. This capability is more reflected in the macro governance structure, business process system, talent team and resources of the military organization. To accelerate the transformation of the military organization’s form, it is necessary to lay the foundation for the effective interaction of various elements in the organization and the realization of organizational functions by building a scientific and reasonable framework structure.
Improve autonomous iterative growth
Autonomous iterative growth capability refers to the ability of military organizations to achieve orderly development and active growth through active and continuous self-adjustment and optimization in the face of ever-changing war situations, external environments, and competitive pressures. The diversity and integration of combat power, the sequentiality and integration of combat power generation, and the jointness and nonlinearity of combat power release all put forward new and higher requirements for the autonomous iterative growth capability of military organizations. First, we must have a keen ability to perceive the environment. We must be able to detect defects or shortcomings in a timely manner, accurately judge the problems and risks that may result, and scientifically determine the timing and methods of intervention; second, we must have reliable innovation and correction capabilities. The ability to face problems with an open mind, analyze problems with effective mechanisms, and study problems with innovative ideas, and then propose feasible, reliable and highly consensus-based correction plans; third, the ability to execute efficiently. The ability to achieve the specific goals of evolutionary correction with full enthusiasm and high consensus, and to promote growth and optimization with a proactive attitude, so that each individual can implement with full trust when facing innovative and revolutionary adjustments. Facing the future intelligent warfare, promoting the transformation of the military organization is to focus on improving the iterative growth capability of the military organization. In the whole process of promoting the construction of institutional mechanisms, force structures and legal systems, we should simultaneously think about building a scientific consultation and evaluation mechanism for major decisions, building a sound supervision, feedback and correction mechanism, forming a benign innovation incentive mechanism, and promptly dealing with key and difficult issues with a dynamic perspective and a development vision.
In short, the transformation of the military organization is a process of adapting to the development of technology, following the development of the war form, actively optimizing and innovating the combat power form, and constantly liberating and developing combat power. The advanced military organization form should include static contents such as “appearance” and “structure”, and on this basis, it should effectively streamline business processes, improve operating mechanisms, and stimulate organizational dynamics, so that the military organization can achieve comprehensive transformation and transformation in terms of structure, mechanism, function, etc., and fully adapt to the requirements of the era of future intelligent warfare.
(Author’s unit: College of Military Management, National Defense University)
Source: China Military Network – People’s Liberation Army Daily Author: Zhou Hui Editor: Sun Zhiying Release: 2024-06-18 07:xx:xx
Modern warfare practice has proved that high-tech has become the core combat power and has promoted the rapid advancement of warfare towards intelligence. Especially under the guidance of new technologies such as big data, the Internet of Things, and artificial intelligence, and supported by algorithms and computing power technologies, the degree of military intelligence is gradually deepening, and the characteristics of intelligent battlefield warfare are becoming more and more apparent.
The combat space is developing towards full-domain multi-dimensional integration
The widespread application of artificial intelligence technology in the military field will integrate combat units distributed in different battlefield spaces, accelerate the expansion of combat space, cross-domain linkage, and simultaneously exert efforts in multi-dimensional battlefield space and focus on multiple combat capabilities at the same time, so as to achieve precise energy concentration and release in the entire domain.
The pan-connection of data cloud networks has expanded the combat space in the information domain. With the development of new-generation information technologies such as big data and cloud computing, information domain operations will penetrate various combat spaces, and modular combat units dispersed in space will be connected into a decentralized distributed combat system. When combat missions change or certain nodes are damaged, by adding new nodes or upgrading other nodes, the original combat functions can be maintained or new combat functions can be formed. Relying on information infrastructure, the combat system presents the characteristics of distribution, self-organization, and self-synchronization, which greatly improves the reliability, anti-destruction, and flexibility of the combat system. The combat system has developed from a task-based, static-oriented direction to a capability-based, dynamic-oriented direction.
Intelligent weapons and equipment expand the physical domain combat space. With the development and application of advanced technologies such as artificial intelligence, big data, autonomous control, and the Internet of Things, weapons and equipment are becoming more and more intelligent, more powerful, and more widely used. The battlefield of intelligent combat has expanded from traditional land, sea, and air to near-space, polar regions, deep space, deep sea, and underground.
The human brain and computer complement each other to expand the cognitive domain space. With the integrated development of artificial intelligence and cognitive science, human brain intelligence and artificial intelligence promote each other, which can realize the complementary advantages of human brain logical thinking and computer high-speed computing. In intelligent warfare, the cognitive domain combat space will become the main battlefield, and “brain control” and “brain control” will become the focus of future wars.
Combat forces are developing towards mixed human-machine formations
In intelligent warfare, new types of unmanned combat forces will become the main combat force and a new growth point for the military’s combat effectiveness. New types of unmanned combat forces such as space, network, electromagnetic and intelligent ammunition will directly participate in combat, achieving a seamless link from strategy to tactics, and forming a multi-dimensional, all-domain attack and defense, and rapid assault overall force.
Combat force formations are organized in a variety of styles. Human-machine mixed formations. According to different tasks, combined with unmanned combat forces with different functions, reasonable human-machine formations are carried out to give full play to human subjective initiative on the one hand, and the special functions of unmanned combat forces on the other hand, so as to achieve the best combination to achieve combat objectives. Autonomous formation of unmanned forces. In intelligent warfare, unmanned tactical units, as the smallest combat units, can autonomously form combat groups or teams according to combat mission requirements to attack or defend targets. They can also automatically coordinate and cooperate according to changes in battlefield environment and tasks to ensure the achievement of unified combat objectives.
Combat command develops towards autonomous intelligence
In intelligent warfare, the application of high-tech in the military field with artificial intelligence as the core has had a profound impact on combat command and even triggered disruptive changes.
Command information acquisition is more autonomous. The sensor platform of the intelligent battlefield can implement intelligent fusion processing of multi-source intelligence with “large volume, multiple types, fast transmission speed and low value density”, obtain valuable data from massive data, and automatically transmit it to the command and control center to provide information support for commanders’ decision-making.
Human-machine collaboration in command and decision-making. In intelligent warfare, the use of intelligent robot systems to assist in decision-making has greatly reduced the burden on commanders, freeing them from heavy tasks and allowing them to concentrate on studying operations and command. They can hand over some tedious intelligence information judgment, identification and disposal work to artificial intelligence-assisted decision-making systems, giving full play to the role of human-machine integration, reasonable division of labor and mutual complementation, greatly improving the commanders’ command efficiency.
Dynamic planning. An intelligent system based on artificial intelligence technology and intelligent human-machine interface technology can speed up the pace of updating battlefield dynamic information and quickly propose suggestions for adjusting and improving plans, which will help commanders update mission plans in a timely manner and improve the troops’ ability to act quickly.
Agile control response. With the support of artificial intelligence technology and sensor technology, the ability of intelligent control of troops will be further improved in the future. Specifically, intelligent weapons and equipment can use sensors similar to human vision and hearing to track and detect targets, and process the information obtained and provided by the command information system through computers similar to the human brain, so as to achieve autonomous analysis, identification, judgment, and make corresponding decisions, thereby regulating the attack on the target.
Combat equipment is becoming more intelligent
With the widespread use of artificial intelligence technology in the field of military equipment, intelligent combat platforms and systems, intelligent ammunition and intelligent weapons and equipment have been successively equipped in the army. Combat equipment will develop from manned equipment as the main and unmanned equipment as the auxiliary to manned/unmanned equipment coordination and unmanned equipment as the main direction. UAVs, unmanned combat vehicles, unmanned ships, unmanned spacecraft, military robots and intelligent individual systems will become the main force of intelligent combat. They have good combat performance, fast response speed, strong mobility and high combat accuracy, which plays a key role in seizing the initiative in war and even affects the entire war process.
The entire process of technological infiltration war
Intelligent warfare in modern warfare is supported by Internet technology, unmanned technology, data processing and prediction technology, target recognition and search technology, and artificial intelligence technology. Various high-tech platforms and systems are increasingly likely to replace human actions in various combat links such as intelligence reconnaissance, efficient command, precise action, and comprehensive support in war. These intelligent combat platforms or systems also have super computing, recognition, and autonomous control capabilities, especially the ability to complete urgent, difficult, and dangerous tasks under harsh conditions that are difficult for humans to complete. This trend is attracting more and more interest and investment from military powers.
China Military Network Ministry of National Defense Network
Friday , August 13, 2021
Since the 21st century, global scientific and technological innovation has entered an unprecedented period of intensive activity. A new round of scientific and technological revolution and industrial transformation is reshaping the global innovation landscape and reshaping the global economic structure. Some people therefore call the current era the era of “deep technology”.
The military field is the most sensitive to technological change. At present, some major disruptive technologies are constantly emerging, showing a trend of cross-integration and group leaps. Their military applications will bring about sudden and revolutionary consequences, and even bring about a new form of war.
Artificial Intelligence: Opening the Door to Intelligent Warfare
Artificial intelligence was born in 1956. Its essence is to simulate the human thinking process, that is, to make machines understand, think and learn like humans, form experience, and generate a series of corresponding judgments and processing methods. In the past 10 years, with the continuous development of new theories and technologies such as big data, neural networks, and deep learning, artificial intelligence has pressed the fast-forward button and started to develop rapidly, bringing fundamental changes to all areas of human society.
In 2016, the artificial intelligence program AlphaGo defeated the world Go champion Lee Sedol. By 2020, the latest algorithmic programs can teach themselves to play Go, chess and other games without even being told the rules of the game.
As a strategic technology leading a new round of scientific and technological revolution and industrial transformation, the application of artificial intelligence in the military field has accelerated the transformation of warfare from informationization to intelligence. This transformation will be full-dimensional and full-spectrum, involving almost all links in the military chain. The most prominent impacts basically include the following aspects:
——Assisting unmanned combat. The rapid development of artificial intelligence will greatly enhance the collaborative and autonomous combat capabilities of various unmanned combat systems. This will undoubtedly promote structural changes in the composition of combat forces, and unmanned combat mode will gradually become the “main theme” of war. In a simulated confrontation in August 2020, an intelligent system funded by the US Defense Advanced Research Projects Agency controlled a fighter jet and defeated experienced air force pilots. The trend of unmanned combat seems to be increasingly unstoppable.
——Reshape command and control. Complex adaptive systems supported by artificial intelligence, such as swarm systems, will have increasingly strong self-organizing capabilities, thereby breaking the traditional strict hierarchical command system and incubating a new command and control model. The action control of a swarm composed of thousands of unmanned systems will be completed by an intelligent and efficient algorithm system, which can achieve a high degree of decentralization and dynamic aggregation, demonstrating a new concept of group intelligent combat.
——Achieve intelligent decision-making. That is, generate intelligent evaluation and auxiliary decision-making capabilities, realize automatic generation, dynamic optimization, and real-time adjustment of combat plans, and enable combat planning to flexibly adapt to changes in the mission environment and battlefield uncertainties. At present, the new generation of artificial intelligence technology is in a stage of vigorous development, and new technologies will continue to emerge.
Quantum technology: writing the winning code in “entanglement”
Quantum is the smallest, indivisible unit of energy. The biggest feature of quantum technology is that it can break through the physical limits of existing information technology, play a huge role in information processing speed, information capacity, information security, information detection accuracy, etc., and thus significantly improve human ability to obtain, transmit and process information, providing strong impetus for the evolution and development of the future information society.
Quantum theory has gone through more than a hundred years of development since its birth. The development of quantum technology has directly given rise to modern information technology. Nuclear energy, semiconductor transistors, lasers, nuclear magnetic resonance, high-temperature superconducting materials, etc. have come into being, changing human production and life. In recent years, the continuous combination of quantum mechanics and information technology will usher in a new quantum technology revolution, impacting the traditional technology system and even causing the reconstruction of the traditional technology system.
Compared with the macroscopic physical world, quantum has many wonderful properties, the most representative of which are quantum superposition and quantum entanglement. Quantum superposition means that a quantum can be in different states at the same time, and can be in a superposition of these states. A vivid metaphor is the cat in a state of “both dead and alive” imagined by physicist Schrödinger. Quantum entanglement means that independent particles can be completely “entangled” together. No matter how far apart they are, when the state of one quantum changes, the other will change accordingly like “telepathy”.
These special properties of quantum contain great military potential. In quantum detection, quantum communication, quantum imaging, quantum computing, etc., they are gradually showing great military application value. For example, by taking advantage of the characteristics of quantum state superposition and the inability to accurately copy unknown quantum states, quantum codes that cannot be deciphered can be developed.
In addition, based on the characteristics of quantum entanglement, the high correlation between two microscopic particles with a common source can be utilized, and entangled photons can be used as light sources to achieve quantum imaging, which can greatly improve the resolution and anti-interference ability of imaging.
Gene technology: a new weapon that can be “edited”
Genes are the genetic information that controls various characteristics of organisms and are known as the “master switch” of various life activities of organisms. Gene editing is equivalent to a pair of “gene scissors”, which can accurately achieve gene “modification” such as insertion, removal, and replacement of specific target genes of organisms, thereby achieving control over the genetic information of organisms.
In 2012, researchers from the United States and Sweden found a very effective pair of “gene scissors”, namely the CRISPR/Cas9 system, which can cut any genome at any desired location. Since then, the development of gene editing technology has achieved unprecedented “acceleration”, realizing gene editing of fruit flies, mice, pigs, sheep, rice, wheat and other organisms, and also providing new medical means for treating diseases such as tumors, AIDS, and thalassemia.
While genetic technology is gradually unlocking the mysteries of life, it will also cause unpredictable military security issues. If gene editing is used in the development of biological weapons, it means that developers can modify genes to obtain new pathogenic microorganisms according to their own needs, or implant biological gene fragments with different characteristics and transform existing biological warfare agents, or even artificially design and synthesize new viruses that do not exist in nature. These may produce new biological weapons that humans cannot prevent and control, and even use the precision of genetic technology to make attacks more targeted. This new coronavirus epidemic has made the world suspicious of Fort Detrick and more than 200 American overseas biological experimental bases. The United States should disclose more facts and give an explanation to the international community.
Brain science: heading towards the battlefield of “brain control”
The human brain is a highly complex information processing system that consists of billions of neurons that communicate with each other and complete a variety of cognitive tasks in an overall coordinated manner.
The brain’s complex neural information processing and cognition are so complex that even supercomputers pale in comparison. Therefore, brain science research is regarded as the “ultimate frontier” of natural science research, and the International Brain Research Organization believes that the 21st century is the “era of brain science.”
In recent years, major countries in the world have announced the launch of brain science research programs. With the emergence of new imaging technologies, convergence technologies, and computing and information communication technology platforms, brain science research has made new breakthroughs in the fields of neural circuits, brain-like intelligence, and brain-computer interfaces.
As a branch of cognitive science, the “brain-computer interface” technology was born in the 1970s. It collects the EEG signals generated by the activity of the cerebral cortex nervous system, and converts them into signals that can be recognized by computers through methods such as amplification and filtering, so that external devices can read the brain’s neural signals, identify people’s true intentions, and achieve effective control of external physical devices. In other words, a certain operation is performed by the human brain without the need to complete it through the body.
As a new type of human-computer interaction, brain-computer interface technology provides a new intelligent development direction for the control of weapons and equipment. Realizing the direct control of weapons and equipment by the human brain and giving them the intelligent features of “moving at will” are becoming the goals pursued by Western military powers. In 2013, the US Department of Defense disclosed a research project called “Avatar”, which plans to control remote “machine warriors” through thoughts in the future to replace soldiers in the battlefield and carry out various combat tasks.
If the above research is regarded as “brain control”, then the use of “brain-computer interface” and other technical means to interfere with, destroy or even control people’s neural activities and thinking abilities is the so-called “brain control”. For example, electromagnetic waves and sound waves are used to affect the normal activities of human brain cells, and even suggestions and commands are directly “projected” into the human brain. In March 2018, a Western country proposed the “Next Generation Non-Invasive Neurotechnology (N3)” plan to develop a new generation of non-invasive two-way brain-computer interfaces to further improve the high-level interaction capabilities of soldiers and weapons and equipment.
In the future, the rapid development of brain science will give rise to a new cognitive domain combat model centered on the brain, and “brain control” will also become a new battlefield for the competition in the cognitive domain.
At present, a new round of scientific and technological revolution and military revolution is in a “qualitative change period”. Science and technology have never had such a profound impact on national security and military strategy as today. In the face of the rapid development of science and technology, we must vigorously enhance our scientific and technological cognition and acumen, strive to seize the commanding heights of science and technology, seek military competitive advantages, and seize the initiative in future wars.
Professor Liu Yangyue from the College of Arts and Sciences at the National University of Defense Technology
●To understand the laws of intelligent warfare, we must grasp the foundation of intelligence and autonomy, the key of building a war knowledge and action system, and the essence of the changes in the connotation of war power.
●War leaders must examine intelligent warfare dynamically, keenly capture the new elements spawned by intelligent warfare, correctly analyze the changes in the relationship between the new elements, and constantly re-understand intelligent warfare.
President Xi pointed out that we should seriously study the military, war, and how to fight, and grasp the laws of modern warfare and the laws governing war. Today, the intelligent characteristics of war are becoming increasingly prominent, and intelligent warfare has already shown its early form. In order to seize the initiative in future intelligent warfare, we should actively follow the development of modern warfare, keep close to the actual military struggle preparations, proactively understand the laws of intelligent warfare, deeply grasp its guiding laws, focus on answering questions such as “what is it” and “how to do it”, and constantly innovate war and strategic guidance.
Answering the question “What is it?” and understanding the laws of intelligent warfare
Comrade Mao Zedong pointed out: “The laws of war are a problem that anyone who directs a war must study and must solve.” Today, as intelligent warfare begins to emerge, we should proactively understand “what” intelligent warfare is. Otherwise, we will not be able to solve “how to do it,” let alone control future wars.
The laws of intelligent warfare are the reconstruction of the war knowledge and action system. The laws of intelligent warfare, like the laws of cold weapon warfare, hot weapon warfare, mechanized warfare, and information warfare, are the inherent and essential connections between the elements of war. The difference is that it has new elements and new modes of composition between elements. It is essentially the reconstruction of the war knowledge and action system caused by the intelligent revolution. Today, to understand the laws of intelligent warfare, we must grasp the foundation of intelligence and autonomy, grasp the key to building a war knowledge and action system, and grasp the essence of the change in the connotation of war power. Mastering these laws can overcome the chaos and uncertainty in future wars and find order and certainty from them. This is the objective requirement for dealing with intelligent warfare.
The laws of intelligent warfare are the basis of the laws of war guidance. In “Problems of Strategy in China’s Revolutionary War”, Mao Zedong first analyzed the characteristics of China’s revolutionary war and revealed the laws of war, and then “derived our strategies and tactics from this”, that is, the laws of war guidance; in “On Protracted War”, he first explained “what it is”, and then turned to the question of “how to do it”, reflecting a logical order of the cognitive process. Today, the study of intelligent warfare should still follow this order, and neither put the cart before the horse, nor reverse the order; nor add, reduce or replace links. On the basis of mastering the fundamental law of intelligent autonomy, we must reveal the laws of war guidance such as autonomous perception, autonomous planning, autonomous implementation, autonomous linkage, and autonomous evaluation.
If you don’t understand the laws of intelligent warfare, you can’t guide the war. “Sun Bin’s Art of War” points out: “Know, win” and “Don’t know, don’t win.” Tao is the law of war. If you master it and act in accordance with it, you can win; otherwise, you will lose. Mao Zedong also emphasized: “If you don’t know the laws of war, you don’t know how to guide the war, and you can’t win the war.” Similarly, mastering the laws of intelligent warfare is the premise for correctly guiding intelligent warfare. Otherwise, it is inevitable to be confused by the superficial phenomena of intelligent warfare. Today, we need to analyze the basic, long-term and subversive impact of intelligent technology groups on war, and study what intelligent warfare looks like? What are the laws? How should it be fought? These are all major issues that must be answered in the guidance of intelligent warfare.
Solve the “how to do it” problem and reveal the guiding principles of intelligent warfare
The guiding laws of intelligent warfare are the medium for guiding practice by using the laws of intelligent warfare, playing the role of “bridge” and “boat”. We should solve the problem of “how to do it” on the basis of answering “what is it” and propose the “swimming skills” of intelligent warfare.
The guiding laws of intelligent warfare are the laws of applying the laws of war. The purpose of understanding the laws of war is to apply them. Marx pointed out: “Philosophers only interpret the world in different ways, but the problem is to change the world.” Similarly, intelligent warfare itself forces commanders to discover the laws. Once discovered, they will combine initiative and use the laws to serve winning the war, which will inevitably lead to the emergence of guiding laws for intelligent warfare. Today, war is the continuation of politics, which is still the law of intelligent warfare. From this, it can be concluded that intelligent warfare must obey the guiding laws that serve politics; soldiers and civilians are the basis of victory, which is still the law of intelligent warfare. From this, it can be concluded that the guiding laws of mobilizing the people in the broadest possible way are derived, and so on. These guiding laws for intelligent warfare are derived from the laws of war and are “swimming skills in the sea of intelligent warfare.”
Give full play to the active role of people in intelligent warfare. Engels said: “It is people, not guns, who win the battle.” The guiding laws of intelligent warfare are the laws of practice and use. It is not a simple “transfer” or “copying” of the laws of intelligent warfare, but it can be transformed into the guiding laws of war with the addition of people’s subjective initiative. Today, military talents who master artificial intelligence are not only the operators of intelligent weapons, but also the creators of artificial intelligence. People still occupy a dominant position in the intelligent human-machine system and are the decisive factor in the victory or defeat of intelligent warfare. Commanders should give full play to their initiative on the basis of mastering the laws of intelligent warfare and adhere to the “technology + strategy” combat theory generation model, so as to change from answering “what is” to solving “how to do”.
The laws governing intelligent warfare are constantly evolving. War is a “chameleon”. Intelligent warfare itself will also go through different stages such as germination, development, and maturity, which will inevitably lead to the development of laws governing intelligent warfare. War leaders must dynamically examine intelligent warfare, keenly capture the new elements of intelligent warfare, correctly analyze the changes in the relationship between the new elements, and constantly re-recognize intelligent warfare. We must keep up with the historical process of the accelerated advancement of war forms towards intelligence, grasp the direction of development of intelligent warfare and the pulse of the times, push the research on the laws governing intelligent warfare to a new level, and seize strategic initiative and opportunities on future battlefields.
Keep a close eye on the “initiative” and continue to innovate intelligent warfare and strategic guidance
As the military is ever-changing, water is ever-changing. As intelligent warfare has already arrived, we must follow the laws and guidance of intelligent warfare, keep close to the actual military struggle preparations, strengthen research on opponents and enemy situations, take the initiative to design “when”, “where” and “who to fight”, innovate war and strategic guidance, and firmly grasp the strategic initiative of future wars.
You fight yours, I fight mine. The highest realm of the art of war guidance is that you fight yours, I fight mine. “Each fights his own” requires commanders to use their own forces independently and autonomously in future intelligent wars, no matter how complex and difficult the environment is. In particular, enemies with high-tech equipment may cause a temporary local situation where the enemy is active and we are passive. At this time, we must use comprehensive means such as politics, economy, and diplomacy to make up for the disadvantages in weapons with an overall favorable situation, quickly reverse this situation, and restore the active position. If you are led by the nose by your strategic opponent, you may suffer a great loss.
Seize the opportunity and use the troops according to the time. The Six Secret Teachings pointed out: “The use depends on the opportunity.” Jomini emphasized: “The whole art of war lies in being good at waiting for the opportunity to act.” On the one hand, if the time is not right, do not force it. Be cautious about the opportunity, and have great patience before the opportunity comes to prevent strategic blind action. On the other hand, the time will not come again, so don’t miss the opportunity. Be good at seizing the opportunity, and once you encounter a favorable opportunity, you must resolutely use it and avoid being timid. It should be pointed out that we should look at the issue of the maturity of the opportunity dialectically. The future intelligent war is changing rapidly, requiring quick decision-making, but in the face of uncertain factors, we must make careful decisions. Sometimes making a decision early may be more effective than making a more perfect decision tomorrow. Therefore, we must dare to take a little risk, otherwise we will sit back and watch the loss of the opportunity for success.
Different domains are different, and operations are based on the local conditions. Clausewitz pointed out: “War is not like a field full of crops, but like a field full of trees. When harvesting crops, you don’t need to consider the shape of each crop, and the quality of the harvest depends on the quality of the sickle; when chopping down trees with an axe, you must pay attention to the shape and direction of each tree.” Different strategic spaces lead to different wars, and war guidance is also different. At present, the battlefield space is constantly expanding from traditional spaces such as land, sea and air to new spaces such as space and the Internet. War leaders should explore new intelligent war laws and guidance laws based on the characteristics of multi-domain, three-dimensional, and networked.
Aim at the opponent and win by taking advantage of the enemy. The Art of War by Sun Tzu states: “Follow the enemy and decide the battle.” Jomini also said: “No matter who you are, if you don’t understand the enemy, how can you know how to act?” Looking to the future, smart strategists should classify combat targets into primary combat targets and general combat targets, actual combat targets and potential combat targets according to their importance and urgency, and comprehensively and objectively understand the strategic intentions, force deployment, combat concepts, etc. of different combat targets, propose new intelligent war guidance laws that can give full play to the advantages of their own combat power, and implement correct war actions.
In short, the laws of intelligent warfare are the laws of the cognitive process, solving the problem of “what”; the guiding laws are the laws of the practical process, solving the problem of “how”. The two are dialectically unified and inseparable, forming a complete chain of understanding and guiding intelligent warfare. “Victory is not repeated, but should be formed in infinity.” Today, war and strategic leaders should, based on objective conditions, deeply explore and flexibly apply the laws of intelligent warfare and the laws of war guidance, and innovate war and strategic guidance in line with the times.
(Author’s unit: Academy of Military Science, Institute of War Studies)
Source: Liberation Army DailyAuthor: Hao Jingdong Niu Yujun Duan FeiyiEditor-in-charge: Wang Feng2021-03-16 10:12
In today’s world, the new military revolution has entered a critical qualitative change stage. Intelligent warfare with ubiquitous intelligence, interconnectedness, human-machine integration, and full-domain collaboration is accelerating. In order to consolidate its position as the world’s hegemon, the United States actively promotes the third “offset strategy” to “change the future war situation”, formulates an artificial intelligence development strategy, accelerates the actual combat testing and exercises of artificial intelligence, and regards intelligent technology as the core of a “disruptive technology group” that can change the “rules of the game”. Military powers such as Russia, Britain, and Israel are unwilling to lag behind and are also stepping up to improve their respective strategic layouts in the field of artificial intelligence. As competition among major powers intensifies, military intelligence will become the new commanding heights of the arms race.
【Key words】military conflict, artificial intelligence strategy, AI war 【Chinese Library Classification Number】D81 【Document Identification Code】A
In 2017, Master, known as the evolved version of “AlphaGo”, swept the top Go players on the online Go platform and won 60 consecutive games; in 2019, in the StarCraft II man-machine competition, two top human players were defeated with a score of 1:10; in 2020, in the “Alpha” air combat competition held by the Defense Advanced Research Projects Agency of the United States Department of Defense, the F-16 piloted by the US military ace pilot was completely defeated by the artificial intelligence fighter with a score of 0:5. These events show that the era of artificial intelligence that humans both look forward to and fear has quietly arrived.
Engels said, “Once technological advances can be used for military purposes and have been used for military purposes, they will immediately and almost forcibly, and often against the will of the commander, cause reforms or even changes in the way of warfare.” At present, the militarized application of artificial intelligence has caused “the winning mechanism of war to undergo an unprecedented transformation, and the center of gravity of combat power generation is undergoing a historic shift.” A new round of scientific and technological revolution, industrial revolution and military revolution provides support for the intelligent era of “controlling energy with intelligence.”
Military artificial intelligence demonstrates its powerful power in modern warfare
The drive of the arms race among the major powers is triggering a chain of changes in the military field. In recent years, the world situation has been in a turbulent period, which has triggered a series of geopolitical crises. The concept of “hybrid warfare” has entered the war stage, and military artificial intelligence has entered a new stage of development. The rapid development and comprehensive integration of technologies such as artificial intelligence, big data, cloud computing, and reconnaissance and strike drones have demonstrated their powerful power in modern warfare. Whether it is the physical domain of firepower strikes, the interest domain of economic sanctions, or the cognitive domain of public opinion and psychological control, it makes people deeply feel that military artificial intelligence is becoming popular.
Assassinating senior Iranian officials, AI becomes a “killing tool” for the US military. On January 3, 2020, then-US President Trump ordered the US military to launch an airstrike on Baghdad International Airport in Iraq without the consent of the US Congress. This airstrike directly killed Iranian senior official Soleimani. Soleimani is the top commander of the “Quds Brigade” of the Iranian Revolutionary Guard. Why was he successfully assassinated by the United States in the capital of Iraq? It is reported that the “Reaper” drone carried out this mission, which “targeted and eliminated” Soleimani by projecting “Hellfire” missiles. The operation was very secretive and could not be detected by radar. Even the US spy satellites did not know the location of the “Reaper” at the time. It should be emphasized that the assassination of Soleimani was an illegal and brutal act of the United States using terrorist means, “one of the war crimes committed by the United States by abusing force”, and its so-called “rules-based international order” is a pure whitewash, and its essence is a true manifestation of hegemony.
In the Israeli-Palestinian conflict, Israel launched the “first AI war”. In May 2021, Israel launched “Operation Rampart” against Hamas. During the 11-day battle in the Gaza Strip, Israel relied on advanced information collection technology, analytical algorithms and AI-led decision support systems to quickly and effectively select attack targets and use the most appropriate ammunition as needed. Through hundreds of intensive and precise strikes from multiple combat platforms, it paralyzed Hamas and the Palestinian Islamic Jihad Organization’s rocket positions, rocket manufacturing plants, ammunition depots, military intelligence agencies, senior commanders’ residences and other key facilities, destroyed several autonomous GPS-guided submarines of the Hamas Maritime Commando, and killed Bassem Issa and other Hamas senior commanders and senior agents.
It has been disclosed that the artificial intelligence system used in the war is an algorithm system developed by an elite team code-named 8200. The three systems “Alchemist”, “Gospel” and “Deep Wisdom” hatched by the team were all used in this military operation. The “Alchemist” system can analyze the enemy’s attempt to launch an attack and provide real-time warnings through the communication device carried by individual soldiers. The information fed back by the soldiers will also be collected again and evaluated for the next attack; the “Gospel” system can generate target strike suggestions and mark target information in real time. Commanders can flexibly select important targets and implement strikes based on battlefield conditions; the “Deep Wisdom” system can accurately draw a map of the tunnel network of Hamas armed organizations in the Gaza Strip through intelligence collection and big data fusion such as signal intelligence, visual intelligence, personnel intelligence, and geographic intelligence, forming a situation map that fully reflects the conflict area scenario. The use of these technologies has greatly enhanced the Israeli army’s battlefield situation awareness capabilities. A senior intelligence official of the Israel Defense Forces said that this is “the first time that AI has become a key component and combat power amplifier in fighting the enemy.” The Israeli military believes that the use of AI has brought “super cognitive ability” and even directly calls it “the first artificial intelligence war.”
In order to seize the technological commanding heights, countries are stepping up their strategic layout of military intelligence
Artificial intelligence is regarded as a key strategic technology in the Fourth Industrial Revolution. In order to gain the upper hand in the new round of disruptive technology competition, the world’s military and technological powers, led by the United States, have stepped up their strategic layout around military intelligence, and are working intensively and spare no effort.
The United States attempts to rely on artificial intelligence to maintain its military hegemony. Since 2016, the U.S. Department of Defense has successively issued documents such as “Preparing for the Future of Artificial Intelligence”, “National Artificial Intelligence Research and Development Strategic Plan”, and “Department of Defense Artificial Intelligence Strategy”, which have elevated the development of artificial intelligence to the national strategic level. In order to establish its own “rules of war”, the Pentagon has successively formulated artificial intelligence technology research and development plans, key project concepts, and technical standards and specifications, and focused on building a research and development production and combat application system. In summary, the U.S. military’s layout for the future development of artificial intelligence can be roughly divided into three stages: near, medium, and long. In the first stage, before 2025, with unmanned, stealth, and remote combat platforms as the development focus, a “global surveillance and strike system” will be built, and unmanned systems will become the main means of military intervention by the U.S. military. In the second stage, before 2035, with intelligent combat platforms, information systems, and command and decision-making systems as the development focus, an intelligent combat system will be initially established, and unmanned systems will surpass manned systems and occupy a dominant position in combat. The third stage, before 2050, will focus on the development of technologies such as strong artificial intelligence, nanorobots, and brain networking, fully realize the intelligence of combat platforms, information systems, and command and control, promote the expansion of combat space to biospace, nanospace, and intelligent space, and strive to seek the intelligent combat system to enter the advanced stage.
The various branches of the U.S. military have also launched and continuously updated their artificial intelligence development plans. The ground unmanned autonomous system has the “U.S. Ground Unmanned System Roadmap” and the “U.S. Robot Development Roadmap”, etc., and plans to achieve intelligent formations and coordinated actions of manned and unmanned by 2030, and realize the mobility of synthetic forces by 2040. The aerial unmanned autonomous system has a special drone development plan, and the long-term goal is to form a complete aerial unmanned equipment system covering high, medium and low altitudes, large, medium, small and micro, ordinary and long flight time. The maritime unmanned autonomous system is divided into two directions. One is to create a new underwater combat system, using multiple unmanned submarines to form a mobile integrated reconnaissance, detection, and strike network, and form an “advanced underwater unmanned fleet”; the other is to accelerate the development of surface unmanned ships and make breakthroughs in the “human-machine cooperation” of surface unmanned ships. In addition, the U.S. Department of Defense has also established partnerships with industry, academia and allies to ensure access to the most advanced artificial intelligence technology support.
Russia has also put forward its own strategic plan in the field of artificial intelligence. In recent years, Russian President Vladimir Putin has attached great importance to the development of artificial intelligence. He proposed that artificial intelligence is the future for both Russia and all mankind. Whoever becomes a leader in this field will stand out and gain a huge competitive advantage. Artificial intelligence is related to the future of the country. Russian Chief of General Staff Gerasimov said that the Russian army is “developing non-nuclear strategic deterrence forces” through artificial intelligence equipment. Russian Defense Minister Sergei Shoigu said that the Russian army is stepping up the research and development and deployment of military robots, and combat robots will be put into mass production.
As early as November 2014, Russia adopted a plan to develop combat robots by 2025, proposing that robot systems will account for 30% of the entire weapons and military technology system by 2025. In December 2015, Putin signed a presidential decree to “establish a national robotics technology development center”, providing institutional support for the development of artificial intelligence from a strategic level. In recent years, Russia has successively issued strategic plans such as “Future Russian Military Robot Application Concept”, “National Artificial Intelligence Development Strategy by 2030”, and “Russian Federation Defense Plan 2021-2025”, carried out war games in various complex combat environments, studied the impact of artificial intelligence on various levels such as strategy, campaign and tactics, and strived to build a multi-level and multi-dimensional unmanned intelligent combat system that is interconnected.
From the perspective of medium- and long-term goals, attacking unmanned equipment is the focus of Russia’s development. In 2019, Russian President Vladimir Putin proposed at the Russian Federation Security Conference that in the next 10 years, the Russian army will vigorously develop combat robot systems that can perform tasks on the battlefield. The short-term goal is to build a multifunctional combat robot force with certain autonomous control capabilities by 2025. According to information, the force will be composed of 5 types of robots, each of which can be independently divided into combat units and can basically complete battlefield combat tasks without or with very little human intervention. At present, the Russian army has started the experimental design work of the heavy and light robot “assault” and “comrade” systems. Some experts analyzed that the combat robot force may become an independent and brand-new branch of the Russian army.
The United States is wooing its allies to prepare for AI wars, and the AI arms race is intensifying. In recent years, in order to maintain its absolute leading position in the field of artificial intelligence, the United States has stepped up its own AI militarization construction while trying to win over its allies to jointly develop a joint operation AI system in the name of serving the alliance combat system. According to the U.S. “Defense News” website, in September 2020, the U.S. Joint Artificial Intelligence Center has launched the “Defense Partnership Program”, which covers the United Kingdom, France, Israel, Japan, South Korea, Australia, Canada, Finland, Norway, Sweden and other countries. It aims to develop an AI system that is interconnected with the above-mentioned allies and lay the foundation for joint operations in intelligent warfare. It is reported that relevant defense representatives of the United States and its allies have held several meetings around this plan. The United States also claimed that this defense cooperation will “open the door” to more interested U.S. allies.
The United States’s push will undoubtedly intensify the AI arms race among the world’s major military powers. Among the United States’ many allies, Israel’s AI level is the best. Israel is the world’s largest exporter of military drones; it has the world’s first controllable autonomous unmanned vehicle, the Guardian, which has been equipped to the troops; it is the only country in the world, except the United States, equipped with unmanned surface vessels, and has many types of unmanned surface vessels such as the Protector, Stingray, and Seagull.
Other major countries are also stepping up their layout in the field of artificial intelligence. The United Kingdom has formulated an artificial intelligence development path of “universities as the source, military-civilian integration”, and issued the “National Artificial Intelligence Strategy” and the “Robots and Artificial Intelligence” strategic plan. France has formulated the “French Artificial Intelligence Strategy” and the “French Artificial Intelligence Plan”. Since 2018, it has increased its defense budget year by year and continuously increased investment in the research and development of artificial intelligence weapons. Germany has the world’s largest artificial intelligence research center. In 2018, it issued the “Artificial Intelligence Strategy” and planned to create an “Artificial Intelligence Made in Germany” brand by 2025. Japan has successively issued the “Artificial Intelligence Strategy”, “New Robot Strategy” and “Comprehensive Science and Technology Innovation Strategy”, and established the “Innovative Intelligence Comprehensive Research Center” to focus on the development of artificial intelligence-related technologies. In January 2021, the Australian Department of Defense issued the “Fighting the Artificial Intelligence War: Operational Concepts for Future Intelligent Warfare”. This document focuses on how to apply artificial intelligence to land, sea and air combat.
As some experts have said, “Intelligent technology is a double-edged sword. While it promotes the evolution of warfare to intelligent warfare, it also brings about a series of new war ethics issues and dilemmas in the law of war.” What changes will artificial intelligence bring to human society? This issue deserves in-depth thinking and continued attention.
(The author is the director of the News Research Department of Guangming Daily)
【References】
①Wu Mingxi: Intelligent Warfare—AI Military Vision, Beijing: National Defense Industry Press, January 2020.
③ Ding Ning and Zhang Bing: “Development of Intelligent Weapons and Equipment of Major Military Powers in the World”, “Military Digest”, Issue 1, 2019.
④ Ge Yan and Jia Zhenzhen: “Future Combat Concepts and Combat Styles under Military Transformation”, “Military Digest”, Issue 15, 2020.
⑤He Fuchu: “The Future Direction of the New World Military Revolution”, Reference News, August 23, 2017.
⑥Ma Junyang: “Russian-made unmanned intelligent weapons debut in Syria”, People’s Liberation Army Daily, December 30, 2019.
Geng HaijunPeople’s Forum (July 1, 2022, Issue 03)
