Tag Archives: #Artificial #Intelligence

Artificial Intelligence Will Profoundly Change the Face of Warfare for China

人工智慧將深刻改變中國的戰爭面貌

現代英語:

Defeating dozens of top Go players in a man-machine battle, defeating a retired US Air Force pilot in a simulated air combat… In recent years, artificial intelligence has been like an omnipotent “magician”, creating endless miracles, shocking many people and constantly refreshing people’s imagination.

As a technical science dedicated to simulating, extending and expanding human intelligence, artificial intelligence has long surpassed scientists’ initial imagination and entered a “booming period” of rapid development. It is profoundly changing the way humans produce and live, and promoting the social form to accelerate from digitalization and networking to intelligence. At the same time, the widespread use of artificial intelligence technology in the military field will fundamentally change the winning mechanism and combat methods of modern warfare, give birth to new combat means and combat ideas, and promote the war form to accelerate into the intelligent era.

In intelligent warfare, intelligent equipment, intelligent command, intelligent maintenance, and intelligent combat methods are all conceivable – “fake news” created by artificial intelligence is everywhere in the entire process of war preparation, conduct and conclusion, and it is “false and true”; the role of inanimate intelligent entities and robot fighters in intelligent warfare is prominent, and artificial intelligence combat forces such as “cloud brain”, “digital staff” and “virtual warehouse” used for information support, command and control, effect evaluation and logistics support will play an increasingly important role in future wars. Intelligent machines and intelligent weapons will become the main force on future battlefields; remote and precise Specific, miniaturized, and large-scale unmanned attacks will become the main form of attack. “Man-to-man” warfare will expand to “machine autonomous warfare” warfare; intelligent swarm attrition warfare, cross-domain mobile warfare, and cognitive control warfare will become basic combat types; decentralized deployment of humans and machines, autonomous coordination, and concentrated energy offensive and defensive operations will become the basic principles of cross-domain integration and global operations; the “observation-judgment-decision-action” link will be greatly shortened, the combat rhythm will be faster, the actions will be more precise, and the efficiency will be higher; upgrading and training artificial intelligence systems and various unmanned combat platforms through continuous confrontation exercises will become an important way to enhance combat effectiveness. Intelligence will surpass firepower, mobility, and information power and become the most critical factor in determining the outcome of a war. As a result, the meaning of battlefield control will need to be redefined, new topics will be added to international arms negotiations, and textbooks on intimidation theory will need to be rewritten.

The world’s military powers, represented by the United States, have foreseen the broad application prospects of artificial intelligence technology in the military field. They believe that future wars will be intelligent wars and future arms competitions will be intelligent competitions. They have also laid out a series of research plans in advance, hoping to seize the initiative in the military application of artificial intelligence and strive to open up a “generation gap” with potential opponents. In recent years, NASA, the Department of Defense and various military services have deployed a series of artificial intelligence technology research projects in the military field. The U.S. Department of Defense has also proposed the establishment of a “Joint Artificial Intelligence Center” to jointly promote artificial intelligence projects with the U.S. military and 17 intelligence agencies, and coordinate the planning and construction of an intelligent military system supported by military technology and military applications. Russia also sees artificial intelligence as the commanding heights of future military competition. The Russian military is stepping up the development of humanoid robots that can drive vehicles and build robot troops that can fight side by side with human soldiers. Russian President Vladimir Putin said: “Artificial intelligence is not only the future of Russia, but also the future of all mankind. It contains huge opportunities and threats that are difficult to predict today.” Countries such as the United Kingdom, Japan, Australia, South Korea, and India are also increasingly paying attention to the development and application of artificial intelligence in the military field.

Today, the pace of military application of artificial intelligence may be difficult to stop. Faced with the new situation, we need to firmly grasp the major historical opportunities for the development of artificial intelligence, judge the general trend, take the initiative to plan, grasp the direction, seize the initiative, and effectively safeguard national security. At the same time, from the perspective of the future and destiny of mankind, the international community should establish a mechanism to prevent the excessive military application of artificial intelligence as soon as possible. After all, the power of human beings to create civilization should not become a tool to destroy civilization, and scientific and technological progress should be a blessing for the benefit of mankind, rather than a death knell that threatens human survival and development.

(Author’s unit: Academy of Military Science)

現代國語:

■遊光榮

在人機大戰中擊敗數十名頂級圍棋高手、在模擬空戰中擊敗美國空軍退役飛行員……近年來,人工智能猶如萬能的“魔法師”,創造了層出不窮的奇跡,在驚掉不少人下巴的同時,也不斷刷新著人們的想像。

作為一門致力於模擬、延伸和擴展人的智慧的技術科學,人工智慧早已超越了科學家最初的想像,進入了一個高速發展的“井噴期”,正在深刻改變人類的生產生活方式,推動社會形態從數位化、網絡化向智慧化加速躍升。同時,人工智慧技術在軍事領域的廣泛運用,將從根本上改變現代戰爭制勝機理和作戰方式,催生新的作戰手段和作戰思想,推動戰爭形態加速邁入智能化時代。

在智慧化戰爭中,智慧化裝備、智慧化指揮、智慧化維修、智慧化作戰方式都是可以想像的——人工智慧製造的「虛假新聞」在戰爭準備、進行和結束的全過程中無處不在,而且“以假亂真”;無生命智能體、機器人戰鬥員在智能化戰爭中的作用凸顯,用於信息支援、指揮控制、效果評估、後勤保障的“雲大腦”“數字參謀”“虛擬倉儲”等人工智慧作戰力量將在未來戰爭中發揮越來越重要的作用,智慧機器和智慧武器將成為未來戰場的主力;遠程化、精確化、小型化、大規模無人攻擊將成為主要進攻形式,「人對人」的戰爭將向「機器自主作戰」的戰爭拓展;智慧化的蜂群消耗戰、跨域機動戰、認知控制戰將成為基本作戰類型;人機分散部署、自主協同、集中能量攻防作戰,成為跨域融合、全局作戰的基本準則;「觀察-判斷-決策-行動」連結大大縮短,作戰節奏更加快速、行動更加精準、效率更高;透過持續的對抗演習對人工智慧系統和各類無人化作戰平台的升級訓練,將成為戰鬥力提升的重要方式。智能將超越火力、機動性和資訊力,成為決定戰爭勝負的最關鍵因素。隨之而來的是,戰場控制權的內涵將需要重新界定,國際軍備談判將增加新主題,威懾理論的教科書也將改寫。

以美國為代表的世界軍事強國,預見到人工智慧技術在軍事領域的廣闊應用前景,認為未來的戰爭將是智慧化戰爭、未來的軍備競賽將是智慧化競賽,並已提前佈局了一系列研究計劃,希望搶佔人工智慧軍事化應用先機,力求與潛在對手拉開「代差」。近年來,美國國家航空暨太空總署、國防部和各軍種在軍事領域部署了一系列人工智慧技術研究項目,美國國防部還提出建立“聯合人工智慧中心”,計劃聯合美軍和17家情報機構共同推進人工智慧項目,統籌規劃建設以軍事技術和軍事應用為支撐的智慧軍事體系。俄羅斯也視人工智慧為未來軍事競爭的製高點,俄軍正加緊研發可以駕駛車輛的類人機器人、組建可與人類戰士並肩戰鬥的機器人部隊。俄總統普丁提出:「人工智慧不僅僅是俄羅斯的未來,也是全人類的未來。這包含著巨大的機會和當今難以預測的威脅。」英國、日本、澳洲、韓國、印度等國家也日益重視人工智能在軍事領域的發展與應用。

現今,人工智慧軍事化應用步伐或許難以阻止,面對新形勢,我們需要牢牢掌握人工智慧發展的重大歷史機遇,研判大勢、主動謀劃、把握方向、搶佔先機,有效維護國家安全。與此同時,從人類自身前途命運出發,國際社會應該早日建立防止人工智慧在軍事上過度應用的機制。畢竟,人類創造文明的力量不應該成為毀滅文明的工具,科技進步應該成為造福人類的福音,而不是成為威脅人類生存與發展的喪鐘。

(作者單位:軍事科學院)

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/4826892.html?big=fan

Militarization of Artificial Intelligence Competition Accelerating, China Must Adapt to Win

人工智慧軍事化競爭加速,中國必須適應才能取勝

現代英語:

Adapt to the general trend of technological development and seize the commanding heights of future wars——

Artificial intelligence is a general term for cutting-edge technologies such as big data, automated decision-making, machine learning, image recognition, and space situational awareness. It can liberate the “cognitive burden” of human intelligence and physical energy, and enable technology users to gain the advantages of foresight, preemption, and preemptive decision-making and action. As a “force multiplier” and “the foundation of future battles”, artificial intelligence will fundamentally reshape the future form of war, change the country’s traditional security territory, impact the existing military technology development pattern, reconstruct the future combat system and military force system, and become an important dominant force on the future battlefield.

With the rapid development of technology and the accelerating competition, major countries have launched their own artificial intelligence development plans, and accelerated the reform of organizational mechanisms, scientific and technological research and development, and innovation of tactics and strategies, promoting the military use of artificial intelligence and seizing the commanding heights of future wars.

Accelerate organizational innovation

Promoting technology transformation and application

Unlike traditional technologies, the development and transformation of artificial intelligence has its own characteristics. The institutional setup and operation mode of the traditional national defense system are difficult to adapt to the needs of the rapid development of artificial intelligence. To this end, the armed forces of relevant countries have vigorously carried out organizational system reform and innovation, removed the institutional barriers in the process of artificial intelligence technology development, and accelerated the transformation and application of related technologies.

Emphasis on “connecting the near and the far”. The UK, with the “Defense Data Office” and the “Digital Integration and Defense Artificial Intelligence Center” as the main body, integrates route planning, specification setting, technology governance and asset development, and removes administrative obstacles that restrict the development and application of artificial intelligence technology. The United States, relying on the “Strategic Capabilities Office” and the “Chief Digital and Artificial Intelligence Officer”, uses the Army Futures Command as a pilot to integrate decentralized functions such as theoretical development, technology research and development, and equipment procurement, focusing on strengthening the innovative use of existing platforms in a “potential tapping and efficiency increasing” manner, while buying time for the Defense Advanced Research Projects Agency’s medium- and long-term technological innovation, thereby effectively balancing actual needs and long-term development.

Attach importance to “research-use conversion”. The application of artificial intelligence in the military field will have a profound impact on battlefield combat methods, tactical and combat method selection, etc. Russia has established institutions such as the “Advanced Research Foundation” and the “National Robotics Technology Research and Development Center” to guide the design, research and development and application of artificial intelligence technology in the Russian military to improve the practical conversion rate of scientific research results. The United States has established the “Joint Artificial Intelligence Center” and relied on the “National Mission Plan” and “Service Mission Plan” to coordinate military-civilian collaborative innovation and scientific and technological achievements. The transformation promotes the widespread application of artificial intelligence in the US Department of Defense and various services.

Focus on “military-civilian integration”. Russia has established institutions such as the “Times Science and Technology City” in Anapa and other places, relying on the “Advanced Research Foundation” to fully absorb military and civilian talents, actively build scientific and technological production clusters and research clusters, and effectively expand the two-way exchange mechanism of military and civilian talents. The United States has established institutions such as the “Defense Innovation Experimental Group” in Silicon Valley and other places, relying on the “Defense Innovation Board”, so that the latest achievements in technological innovation and theoretical development in the field of artificial intelligence can directly enter high-level decision-making. France has established innovative defense laboratories, defense innovation offices and other technical research and development institutions in the Ministry of National Defense, aiming to solicit private capital investment and defense project cooperation to improve scientific research efficiency.

Highlight the “integration of science and technology”. The Israel Defense Forces has established a digital transformation system architecture department. According to the specific effects of the organic integration of various systems into various military services, new technologies, new theories, and new concepts are fully demonstrated to determine the corresponding technology research and development priorities and strategic development directions. The United States has enhanced the overall management of defense technology innovation and application by re-establishing positions such as the Deputy Secretary of Defense for Research and Engineering and creating the Chief Digital and Artificial Intelligence Officer. It has also relied on theoretical methods such as red-blue confrontation, simulation and deduction, and net assessment analysis to conduct practical tests on various new ideas, new concepts, and new methods, so as to select various technology research and development focuses and strategic and tactical research directions, and achieve a virtuous interaction between technological development and theoretical innovation.

Project establishment for military needs

Seize the opportunity for future development

In recent years, various military powers have targeted the research and development of cutting-edge artificial intelligence technologies, and have launched extensive projects in the fields of situational awareness, data analysis, intelligence reconnaissance, unmanned combat, etc., with the intention of seizing the initiative in future development.

Situational awareness. In the traditional sense, situational awareness refers to the collection and acquisition of battlefield information through satellites, radars, and electronic reconnaissance. However, under the conditions of “hybrid warfare” where peacetime and wartime are blurred, soldiers and civilians are integrated, internal and external links are linked, and the entire domain is integrated, the role of situational awareness in non-traditional domains such as the human domain, social domain, and cognitive domain has received unprecedented attention. The U.S. “Computable Cultural Understanding” project aims to process multi-source data through natural language processing technology to achieve cross-cultural communication; the “Compass” project aims to extract cases from unstructured data sources, integrate key information, and respond to different types of “gray zone” operations. The French “Scorpion” combat system project aims to use an intelligent information analysis and data sharing platform to enhance the firepower support effectiveness of the French army’s existing front-line mobile combat platforms to ensure the safety of operational personnel.

Data analysis. Relying on artificial intelligence technology to improve intelligent data collection, identification analysis and decision-making support capabilities can transform information advantages into cognitive and action advantages. Russia’s “Battle Command Information System” aims to use artificial intelligence and big data technology to analyze the battlefield environment and provide commanders with a variety of action plans. The UK’s “THEIA Project” and France’s “The Forge” digital decision support engine are both aimed at enhancing information processing capabilities in command and control, intelligence collection, etc., and improving commanders’ ability to control complex battlefields and command effectiveness.

Intelligence reconnaissance field. Compared with traditional intelligence reconnaissance, the use of artificial intelligence algorithms to collect and process intelligence has the advantages of fast information acquisition, wide content sources, and high processing efficiency. The Japanese Self-Defense Forces’ satellite intelligent monitoring system is designed to identify and track foreign ships that may “infringe” its territorial waters near key waters. The U.S. military’s “Causal Exploration of Complex Combat Environments” project aims to use artificial intelligence and machine learning tools to process multi-source information and assist commanders in understanding the cultural motivations, root causes of events, and relationships between various factors behind the war; the “Marvin” project uses machine learning algorithms, face recognition technology, etc. to screen and arrange various suspicious targets from full-motion videos, providing technical support for counter-terrorism and other operations.

Unmanned combat field. In some technologically advanced countries, the unmanned combat system is becoming more mature and the spectrum of equipment types is becoming more complete. The Israeli military’s M-RCV unmanned combat vehicle can perform a variety of tasks such as unmanned reconnaissance, firepower strikes, and the transportation and recovery of drones under all-terrain and all-time conditions. The Russian military’s “Sentinel-R” drone system, which has the ability to detect, track, and strike military targets in real time, also has certain anti-reconnaissance and anti-interference capabilities, and has been tested on the battlefield. The U.S. military’s “Future Tactical Unmanned Aerial Vehicle System” project aims to comprehensively improve the U.S. Army’s ability to perform reconnaissance and surveillance, auxiliary aiming, battle damage assessment, and communication relay missions.

Adapting to future battlefield changes

Constantly exploring new tactics

In order to adapt to the tremendous changes in the battlefield environment in the intelligent era, relevant countries have explored a series of new tactics by improving the efficiency of artificial intelligence’s participation in key military decisions and operations.

Algorithmic warfare, that is, relying on big data and artificial intelligence technology, gives full play to the powerful potential of combat networks, human-machine collaboration, and autonomous and semi-autonomous weapons, so that the “observation-adjustment-decision-action” cycle of the side is always ahead of the opponent, thereby destroying the enemy’s combat plan and achieving preemptive strike. In December 2015, the Russian army relied on unmanned reconnaissance and intelligent command information systems to guide ground unmanned combat platforms to cooperate with Syrian government forces, and quickly eliminated 77 militants within the target range at the cost of 4 minor injuries. In 2021, the US Air Force conducted a test flight of the first intelligent drone “Air Borg”, marking the US military’s algorithmic warfare further moving towards actual combat.

Unmanned warfare is guided by low-cost attrition warfare with saturated quantity attacks and system offensive and defensive operations, and strives to achieve all-round situation tracking, dynamic deterrence and tactical suppression of the enemy’s defense system through human-machine collaboration and group combat modes. In May 2021, the Israeli army used artificial intelligence-assisted drone swarms in the conflict with the Hamas armed group, which played an important role in determining the enemy’s position, destroying enemy targets, and monitoring enemy dynamics. In October 2021 and July 2022, the US military launched drone targeted air strikes in northwestern Syria, killing Abdul Hamid Matar, a senior leader of al-Qaeda, and Aguer, the leader of the extremist organization “Islamic State”, respectively.

Distributed warfare, relying on the unlimited command and control capabilities of artificial intelligence and new electronic warfare means, uses special forces and other shallow-footprint, low-signature, fast-paced forces to form small groups of multi-group mobile formations, infiltrating the combat area in a multi-directional and multi-domain manner, continuously breaking the enemy’s system weaknesses and chain dependence, and increasing the difficulty of its firepower saturation attack. In this process, “people are in command and machines are in control”. In recent years, the US military has successively launched a number of “distributed combat” scientific research projects such as “Golden Tribe” and “Elastic Network Distributed Mosaic Communication”.

Fusion warfare relies on network quantum communications and other means to build an anti-interference, high-speed “combat cloud” to eliminate technical barriers to data link intercommunication, interconnection and interoperability among military services and achieve deep integration of combat forces. In 2021, the joint common basic platform developed by the US Joint Artificial Intelligence Center officially has initial operational capabilities, which will help the US military break down data barriers and significantly improve data sharing capabilities. During the NATO “Spring Storm” exercise held in Estonia in 2021, the British Army used artificial intelligence technology to conduct intelligent analysis and automated processing of battlefield information from various services, improving the integration between services and enhancing the effectiveness of joint command and control.

(Author’s unit: National University of Defense Technology)

現代國語:

適應科技發展大趨勢,搶佔未來戰爭制高點——

人工智慧是大數據、自動化決策、機器學習、圖像識別與空間態勢感知等前沿技術群的統稱,可解放人類智能體能的“認知負擔”,使技術使用者獲得先知、先佔、先發製人的決策行動優勢。作為“力量倍增器”和“未來戰鬥的基礎”,人工智慧將從根本上重塑未來戰爭形態、改變國家傳統安全疆域、衝擊現有軍事技術發展格局、重建未來作戰體系和軍事力量體系,成為未來戰場的重要主導力量。

隨著科技的快速發展和競爭的不斷提速,主要國家紛紛推出自己的人工智慧發展規劃,並加速推動組織機制變革、科技研發和戰術戰法創新,推動人工智慧軍事運用,搶佔未來戰爭制高點。

加速組織形態創新

推進技術轉換應用

有別於傳統的技術,人工智慧的研發和轉化有自身的特點,傳統國防體系的機構設置和運作方式,很難適應人工智慧快速發展的需求。為此,相關國家軍隊大力進行組織體制改革與創新,破除人工智慧技術研發過程中的體制障礙,加速推廣相關技術的轉換與應用。

強調「遠近銜接」。英國以「國防資料辦公室」與「數位整合與國防人工智慧中心」為主體,將路線規劃、規範設定、技術治理與資產開發等能效聚攏整合,破除限制人工智慧技術發展應用的行政阻礙。美國以“戰略能力辦公室”和“首席數位和人工智慧官”為依托,以陸軍未來司令部為試點,將理論開發、技術研發、裝備採辦等分散職能整合到一起,重點以“挖潛增效”方式加強現有平台的創新運用,同時為國防高級研究計畫局的中長期技術創新爭取時間,從而有效兼顧現實需求與長遠發展。

重視「研用轉換」。人工智慧在軍事領域的運用,將對戰場戰斗方式、戰術戰法選擇等方面產生深刻影響。俄羅斯透過組成「先期研究基金會」和「國家機器人技術研發中心」等機構,指導俄軍人工智慧技術的設計、研發與應用工作,以提高科學研究成果的實用轉換率。美國透過設立“聯合人工智慧中心”,依托“國家任務計畫”和“軍種任務計畫”,著力統籌軍地協同創新和科技成果轉化,促進人工智慧在美國國防部和諸軍種的廣泛應用。

注重「軍民一體」。俄羅斯在阿納帕等地設立“時代科技城”等機構,依托“高級研究基金會”,充分吸收軍地人才,積極構建科技生產集群和研究集群,有效拓展軍地人才雙向交流機制。美國透過在矽谷等地設立“國防創新試驗小組”等機構,依托“國防創新委員會”,使人工智慧領域的技術創新與理論發展最新成果可以直接進入高層決策。法國在國防部建立創新防務實驗室、防務創新處等技術研發機構,旨在徵集民間資本投資與國防專案合作,提昇科研能效。

突顯「理技結合」。以色列國防軍設立數位轉型體​​系架構部,依據各類系統有機融入各軍兵種的具體效果,對新技術、新理論、新概念進行充分論證,以確定相應技術研發重點與戰略發展方向。美國透過重設國防部研究與工程副部長、創建首席數位與人工智慧長等職位,提升國防技術創新與應用的統管力度,並依托紅藍對抗、模擬推演、淨評估分析等理論方法,對各類新觀念、新觀念、新方法進行實務檢驗,以選定各類技術研發焦點與策略戰術攻關方向,實現技術發展與理論創新的良性互動。

針對軍事需求立項

搶佔未來發展先機

近年來,各軍事強國瞄準人工智慧前線技術研發,在態勢感知、資料分析、情報偵察、無人作戰等領域廣泛立項,意圖搶佔未來發展先機。

態勢感知領域。傳統意義的態勢感知是指依托衛星、雷達和電子偵察等手段收集和取得戰場資訊。然而,在平戰模糊、兵民一體、內外連動、全域融合的「混合戰爭」條件下,人類域、社會域、認知域等非傳統領域態勢感知的作用受到前所未有的重視。美國「可計算文化理解」項目,旨在透過自然語言處理技術處理多源數據,實現跨文化交流;「指南針」項目,旨在從非結構化數據源中提取案例,整合關鍵訊息,應對不同類型的「灰色地帶」行動。法國「蠍子」戰鬥系統項目,旨在運用智慧化資訊分析與資料共享平台,提升法軍現有前線移動作戰平台的火力支援效力,以保障行動人員安全。

數據分析領域。依託人工智慧技術提高智慧化資料蒐集、識別分析和輔助決策能力,可將資訊優勢轉化為認知和行動優勢。俄羅斯“戰鬥指揮資訊系統”,旨在藉助人工智慧與大數據技術分析戰場環境,為指揮官提供多類行動預案。英國「THEIA計畫」和法國的「The Forge」數位決策支援引擎,都旨在增強指揮控制、情報蒐集等方面的資訊處理能力,提高指揮官駕馭複雜戰場的能力和指揮效能。

情報偵察領域。相較於傳統情報偵察,利用人工智慧演算法蒐集處理情報,具備獲取資訊快、內容來源廣、處理效率高等優勢。日本自衛隊衛星智慧監控系統,旨在識別、追蹤重點水域附近可能「侵犯」其領海的外國船隻。美軍「複雜作戰環境因果探索」項目,旨在利用人工智慧和機器學習工具處理多源訊息,輔助指揮官理解戰爭背後的文化動因、事件根源和各因素關係;「馬文」項目則透過運用機器學習演算法、人臉辨識技術等,從全動態影片中篩選排列出各類可疑目標,為反恐等行動提供技術支撐。

無人作戰領域。一些技術先進的國家,無人作戰體係日臻成熟、裝備種類譜係日趨完善。以軍M-RCV型無人戰車,可在全地形、全時段條件下,執行無人偵察、火力打擊、運載及回收無人機等多樣化任務。具備察打一體能力的俄軍「前哨-R」無人機系統,可即時偵測、追蹤、打擊軍事目標,也具備一定反偵察和抗干擾能力,已在戰場上經過檢驗。美軍「未來戰術無人機系統」項目,旨在全面提升美陸軍執行偵察監視、輔助瞄準、戰損評估、通訊中繼等作戰任務的效能。

適應未來戰場轉變

不斷探索全新戰法

為適應智慧化時代戰場環境的巨大變化,相關國家透過提升人工智慧在各關鍵軍事決策與行動的參與能效,探索出一系列全新戰法。

演算法戰,即以大數據和人工智慧技術為依托,充分發揮作戰網路、人機協作以及自主和半自主武器的強大潛能,使己方「觀察-調整-決策-行動」的循環週期始終領先對手,進而破壞敵作戰計劃,實現先發制人。 2015年12月,俄軍依托無人偵察與智慧化指揮資訊系統,引導地面無人作戰平台與敘利亞政府軍配合,以4人輕傷代價,迅速消滅了目標範圍內的77名武裝分子。 2021年,美空軍進行了首架智慧無人機「空中博格人」的試飛,標誌著美軍演算法戰進一步向實戰化邁進。

無人戰,以飽和數量攻擊、體系攻防作戰的低成本消耗戰為指導,力求透過人機協同、群體作戰模式,實現對敵防禦體系全方位的態勢追蹤、動態威懾和戰術壓制。 2021年5月,以軍在同哈馬斯武裝組織的衝突中使用人工智慧輔助的無人機蜂群,在確定敵人位置、摧毀敵方目標、監視敵方動態等方面發揮了重要作用。 2021年10月和2022年7月,美軍在敘利亞西北部發起無人機定點空襲,分別擊斃「基地」組織高階領導人阿卜杜勒·哈米德·馬塔爾和極端組織「伊斯蘭國」領導人阿蓋爾。

分佈戰,以人工智慧無限指揮控制能力及全新電子戰手段為依托,利用特種部隊等淺腳印、低特徵、快節奏的兵力,形成小股多群機動編隊,以多向多域方式分散滲入作戰區域,持續破擊敵體系短板和鍊式依賴,增加其火力飽和攻擊的難度。在這個過程中,實現「人在指揮、機器在控制」。近年來,美軍相繼啟動「金色部落」「彈性網路分散式馬賽克通訊」等多個「分散式作戰」科學研究立項。

融合戰,依托網路量子通訊等手段,建構抗干擾、高速率的“作戰雲”,以消除軍兵種數據鏈互通、互聯和互操作技術障礙,實現作戰力量的深度融合。 2021年,美聯合人工智慧中心研發的聯合通用基礎平台正式具備初始操作能力,將協助美軍打破資料壁壘,大幅提升資料共享能力。 2021年在愛沙尼亞舉行的北約「春季風暴」演習期間,英軍運用人工智慧技術,對各軍種戰場資訊進行智慧分析與自動化處理,提升了軍種間的融合度,增強了聯合指揮控制效能。

(作者單位:國防科技大學)

中國原創軍事資源:http://www.81.cn/jfjbmap/content/2022-09/01/content_323888.htm

Artificial Intelligence Brings About New Changes in Chinese Military Training

人工智慧為中國軍事訓練帶來新變化

現代英語:

The widespread application of artificial intelligence in the military has triggered changes in the field of military training, which is reflected in specific training activities, that is, it has given rise to new changes in training elements. This is particularly evident in the fact that intelligent equipment systems have become important training targets, intelligent combat theories have begun to enter training content, and intelligent technology has been deeply integrated into training methods and training support.

The training object has changed from “human-only” to “human-machine hybrid”. The object of traditional military training is a single person. Both the trainer and the trainee are human. Humans are the only object of military training activities. Artificial intelligence technology is embedded or integrated into weapons and equipment, making weapons and equipment that previously required human control have machine intelligence and a certain degree of autonomy. Intelligent robots that can autonomously perform combat missions have appeared in large numbers on modern battlefields, making intelligent unmanned systems and manned systems “close comrades-in-arms”. Mixed operations of “unmanned forces” and “manned forces” will become a new formation pattern. These weapons and equipment with machine intelligence are different from traditional manned weapons and equipment. At their core, they are artificial intelligence algorithms embedded or integrated with learning capabilities. They need to be trained through repeated training in actual combat or battlefield environments that are close to actual combat, so as to accumulate experience and improve performance, and then gradually enhance the actual combat capability of the equipment to fight autonomously. Therefore, weapons and equipment with machine intelligence also need to form and improve their combat capabilities through continuous training and become new trainees. At the same time, training systems with machine intelligence can also become training platforms for military personnel to acquire combat skills or the right-hand man of military training organizers, playing the role of trainers. It can be seen that, with the empowerment of artificial intelligence, weapons and equipment and related systems are gradually becoming the same training targets as military personnel. The targets of military training are no longer just military personnel, but also include weapons and equipment or systems with a certain level of autonomy, presenting a new scene of people training machines, machines training people, and human-machine hybrid training.

The content of training has expanded from “enhancing physical fitness and skills” to “enhancing intelligence and integration”. Training content is the core element of military training and is constantly changing with the development of technical forms and situations and tasks. The content of traditional military training is mainly to enhance the combat fitness, skills and command capabilities of military personnel. The widespread application of artificial intelligence in the military field has made battlefield winning weapons and equipment and systems more and more intelligent, breaking through the limits of human cognition of traditional time and space, reconstructing the relationship between humans and weapons and equipment, incubating new command and control methods, and giving rise to the continuous emergence of new combat methods and the evolution of war forms. Human-machine integration has become a prominent feature of intelligent warfare, and “controlling the brain and seizing intelligence” is the key to winning intelligent warfare. Therefore, military training in the intelligent era will compress traditional military training content and strengthen perception and cognition, human-machine collaboration, intelligent decision-making and command, etc. The training for people is mainly to understand and master the basic principles, thinking concepts, operating skills, and command art of intelligent warfare; the training for intelligent equipment and systems is mainly to improve learning ability, autonomy, collaboration, and the ability to integrate with human intelligence. The main training content system includes thinking training content focusing on intelligent cognition and human-computer interaction, intelligent skill training content focusing on intelligent equipment operation and human-computer interaction, intelligent command training content focusing on giving full play to the advantages of intelligent information systems such as autonomous analysis, auxiliary decision-making, and accurate evaluation, and intelligent coordination training content focusing on autonomous coordination of unmanned intelligent platforms and human-computer collaborative actions. In order to improve the combat reliability of intelligent weapons and equipment and enhance the intelligent system’s understanding of combat intent, the “deep learning” training content of intelligent autonomous weapons and equipment emphasizes enhancing the intelligence of humans and machines, and strengthening the collaborative training of humans and machines, so as to achieve a perfect integration of man and machine.

The training method has moved from “human-dominated” to “human-led”. The way people produce determines the way they fight and the way they train. Traditional military training methods, lacking the support of artificial intelligence technology, are mainly determined based on factors such as the ability characteristics of trainers and the ability foundation of trainees. The organizational form is limited, the implementation procedures are rigid, and the methods and means are single. At present, the intelligence of war is forcing the intelligence of military training. With the help of artificial intelligence technology, military training planning will move from artificial intelligence planning to system intelligence planning. With the assistance of cloud computing, new algorithms, big data analysis and other technologies, the intelligent training system can autonomously generate training plans with requirements on training content, conditions, standards and other aspects according to the training objectives, efficiently assist training planning and improve the quality and efficiency of training planning; training management will leap from artificial extensive type to intelligent and precise type, and the intelligent training system can overcome the traditional training There are problems in management such as incomplete elements, incomplete processes, untimely feedback, and inaccurate guidance. By automatically collecting training data of all elements and the whole process, using artificial intelligence technology to conduct in-depth analysis of training data, analyzing and evaluating the training effectiveness of trainees, generating real-time training evaluation reports, accurately feedback on problems in training, and proposing personalized improvement suggestions, the training method has been transformed from the previous single “human-dominated” type to the “human-host-assisted” “human-dominated” type.

The training environment has extended from “relying on reality” to “virtual and real integration”. Organizing training in a training environment based on real equipment and real scenes is the main mode of traditional military training. This training mode has problems such as high requirements for training venues, large consumption of materials and equipment, great difficulty in training support, long training preparation time, and difficulty in grasping training safety, which makes a certain gap between training and actual combat. Training like fighting is the development direction of military training, and artificial intelligence technology provides conditions for realizing this development direction. The combination of virtual and real can create a more “real” weapon operation experience and battlefield environment, conduct virtual war experiments, realistically simulate combat processes, accurately evaluate combat concepts, and thus narrow the gap between training and actual combat, so that the odds of victory can be established in the laboratory first. Intelligent simulation training systems can be used to repeat, reproduce and create scenes, environments and conditions of classic battles and difficult training courses, and set up difficult and dangerous situations to test and train troops. In individual soldier training, artificial intelligence and technologies such as augmented reality, virtual reality, and simulation are used to provide a “virtual-reality integration” platform and environmental support for the officers and soldiers’ combat skills, physiological functions, and psychological effectiveness training. Officers and soldiers can see, hear, and “touch” the “real” weapons and equipment and battlefield environment; in unit training, a “real” battlefield environment can be set up, a “homogeneous” combat time domain can be created, and a simulated blue army with “both form and spirit” can be built, effectively improving the quality and effectiveness of confrontational training with actual soldiers and equipment, enhancing the training effect of “being in the situation and feeling the same”, and achieving the training goal of “based on reality, with the help of virtuality, and transcending reality”.

現代國語:

人工智慧在軍事領域的廣泛應用,引發了軍事訓練領域的變革,反映在具體訓練活動中,就是催生了訓練要素的新變化。這突顯在智慧化裝備系統成為重要的訓練對象,智慧化作戰理論開始進入訓練內容,智慧化技術深度融入訓練方法與訓練保障。

訓練對象由「人為唯一」轉變為「人機混合」。傳統軍訓的對像是單一的人,組訓者和受訓者都是人,人是軍訓活動的唯一對象。人工智慧技術嵌入或融入武器裝備中,使得以往需要人操控的武器裝備有了機器智能,具備了一定自主性。能夠自主遂行作戰任務的智慧機器人大量出現在現代戰場,使得智能無人系統與有人系統成為“親密戰友”,“無人部隊”與“有人部隊”混編作戰將成為新的編組樣式。這些具有機器智慧的武器裝備不同於傳統有人操控的武器裝備,其核心是嵌入或融入了學習能力的人工智慧演算法,需要在實戰或近似實戰的戰場環境中,通過多次反復的訓練獲取數據來對演算法進行訓練,從而實現經驗累積、性能提升,進而逐步增強裝備自主作戰的實戰能力。因此,具有機器智慧的武器裝備也需要透過不斷訓練來形成和提高作戰能力,成為新的受訓者。與此同時,具有機器智慧的訓練系統還能夠成為軍事人員獲取作戰技能的訓練平台或軍事訓練組訓者的得力助手,扮演組訓者的角色。由此可見,在人工智慧的賦能下,武器裝備及相關係統逐步成為與軍事人員同樣的訓練對象,軍事訓練的對像不再是單一的軍事人員,也包括具有一定自主化程度的武器裝備或系統,呈現人訓機、機訓者、人機混合訓練的新景象。

訓練內容由「增體強技」向「增智強融」拓展。訓練內容是軍事訓練的核心要素,隨著技術形態和形勢任務的發展而不斷變化。傳統軍事訓練的內容主要是為了增強軍事人員的戰鬥體能、技能和指揮能力。人工智慧在軍事領域的廣泛應用,使得戰場制勝的武器裝備和系統越來越具有智慧化的特徵,突破了人類對傳統時空認知的極限,重構了人與武器裝備的關系,孵化了全新的指揮控制方式,催生了新型作戰方式不斷湧現和戰爭形態的嬗變。人機融合成為智慧化戰爭的顯著特徵,「制腦奪智」是製勝智能化戰爭的關鍵。因此,智能化時代的軍事訓練將壓縮傳統軍事訓練內容,加強感知認知、人機協同、智慧決策指揮等內容。針對人的訓練主要是理解和掌握智能化作戰的基本原理、思維理念、操作技能、指揮藝術等;對於智能化裝備和系統的訓練主要是學習能力、自主能力、協同能力以及與人類智能共融的能力。主要訓練內容體系包括以智慧化認知、人機互動為重點的思維訓練內容,以智慧化裝備操作、人機互動為重點的智慧化技能訓練內容,以發揮智慧資訊系統自主分析、輔助決策、精確評估等優勢為重點的智慧化指揮訓練內容,以無人智慧化平台自主協同、人機協同行動等為重點的智慧化協同訓練內容,為提高智慧化武器裝備作戰可靠性、增強智慧化系統對作戰意圖理解力的智慧自主武器裝備「深度學習」訓練內容,突顯增強人和機的智慧、強化人與機的協同訓練,從而達到人機一體的完美融合。

訓練方法由「人為主宰」向「人為主導」邁進。人的生產方式決定了作戰方式,也決定了訓練方式。傳統軍事訓練的方法由於缺乏人工智慧技術支撐,主要是根據組訓人員的能力特點和受訓人員的能力基礎等因素來確定,組織形式受限,實施程序固化,方法手段單一。當前,戰爭的智慧化倒逼軍事訓練的智慧化。在人工智慧技術的助力下,軍事訓練籌劃將由人工集智籌劃向系統智能籌劃邁進,智能化訓練系統在雲計算、新型演算法、大數據分析等技術的輔助下,能夠根據訓練目標自主生成關於訓練的內容、條件、標準等方面指標要求的訓練方案,高效輔助訓練籌劃,提高訓練籌劃的質效;訓練管理由人為粗放型向智能精確型跨越,智能化訓練系統能夠克服傳統訓練管理存在要素不全面、流程不完整、回饋不及時、指導不精確等問題,透過自動採集全要素、全過程訓練數據,利用人工智慧技術對訓練數據進行深度分析,對受訓者的訓練成效進行分析評估,產生即時性訓練評估報告,精準回饋訓練中存在的問題,提出個性化的改進建議,使訓練方法由以往單一的「人為主宰」式向「人主機輔」的「人為主導」式邁進。

訓練環境由「依托現實」延伸至「虛實一體」。依托實裝實景的訓練環境組織訓練是傳統軍事訓練的主要模式。這種訓練模式存在對訓練場地要求高、物資器材消耗大、訓練保障難度大、訓練準備耗時長、訓練安全難把握等問題,使訓練與實戰之間存在一定的差距。像作戰一樣訓練是軍事訓練的發展指向,人工智慧技術為實現這一發展指向提供了條件。利用虛實結合的方式能夠創設更「真實」的武器操作體驗和戰場環境,能夠進行虛擬戰爭實驗,逼真演繹作戰進程,準確評估作戰構想,從而縮小訓練與實戰之間的差異,讓勝算先在實驗室裡奠定。可利用智慧化模擬訓練系統,重復、再現和創設經典戰例、重難點訓練課目的場景、環境及各項條件,設置難局危局險局摔打錘煉部隊。單兵訓練中,運用人工智慧以及增強現實、虛擬現實、模擬模擬等技術,為官兵的戰鬥技能、生理機能、心理效能等訓練提供「虛實融合」的平台與環境支撐,官兵可看到、聽到、「觸摸」到「真實」的武器裝備和戰場環境;部(分)隊訓練中,可以設置「真實」的戰場環境、創造「同質」的作戰時域、打造「神形兼具」的模擬藍軍,有效提升實兵實裝對抗性訓練的質效,增強「身臨其境、感同身受」的訓練效果,達成「基於現實、借助虛擬、超越現實」的訓練目標。

中國原創軍事資源:http://www.81.cn/szb_223187/szbxq/index.html?

Chinese Military to Distinguish Role and Function of Artificial Intelligence in War

中國軍方將區分人工智慧在戰爭中的作用和功能

現代英語:

This article reviews the article “Foresight and Judgment: Why Artificial Intelligence Enhances the Importance of Humans in Future Wars” published in the journal “International Security”. It explores the contextual challenges faced by artificial intelligence in the process of war strategic decision-making, as well as the difficulty and uncontrollability of artificial intelligence’s participation in prediction and judgment in a war environment. It analyzes the common decision-making process and characteristics of artificial intelligence in military decision-making, and points out the important role played by human factors.

In recent years, artificial intelligence has developed rapidly and has been widely used in many fields such as business, logistics, communications, transportation, education, communication, translation, etc. The military field also attaches great importance to it. A large number of studies and practices have shown that artificial intelligence can generally replace human work in many positions. Therefore, using artificial intelligence to carry out military operations and dominate all actions in future wars has become the goal of artificial intelligence in the military field. Future wars are essentially wars of artificial intelligence. Avi Goldfarb and Jon R. Lindsay pointed out in the article “Prediction and Judgment: Why Artificial Intelligence Increases the Importance of Humans in War” that in future wars, artificial intelligence cannot replace humans. Artificial intelligence has not weakened the role of humans, but has increased the importance of humans in war. The author believes that artificial intelligence supported by pure machines cannot solve the problems in current and future wars, mainly due to data quality issues and the difficulty of judgment. Coupled with the opponent’s cover-up, deception and interference, the role of artificial intelligence supported by pure machines in future wars will be greatly reduced. The two authors mainly discussed four main aspects: strategic context, artificial intelligence in war, the performance of artificial intelligence in military decision-making, and discussion and reflection on the strategic significance of military artificial intelligence. They discussed that artificial intelligence still cannot replace pure artificial intelligence in current and future wars. On the contrary, the role of humans will still be important in future wars. The analysis process and main points are as follows. In order to facilitate direct evaluation of relevant views, we also gave corresponding comments after the views of all parties.

  The strategic context of military organizational decision-making poses a huge challenge to artificial intelligence

  The author points out that the decision-making of military organizations will be affected by many factors. Generally speaking, it may manifest as follows: (1) Political context: The political context is mainly manifested in the strategic environment, facility conditions and psychological preferences; (2) Technical context: The rapid advancement of machine learning can complete more accurate, complex, convenient and larger-scale forecasts including image recognition and navigation; (3) Decision-making process: This process mainly involves the objective facts of goals, values, and environment and the reasoning extracted from them, that is, a process of judgment, data and prediction; (4) Division of labor between man and machine: The application of artificial intelligence is a function of data quality and judgment difficulty. The quality of data and the clarity or difficulty of judgment determine the relative advantages of man and machine in decision-making.

  It should be said that the author has grasped the main macro-contextual factors that artificial intelligence faces in the process of participating in military decision-making, taking on specific military roles, completing various military tasks, and realizing strategic and campaign intentions. Political context is often the most difficult condition for artificial intelligence to grasp. International politics and domestic politics, especially the instability of international diplomatic relations, the sudden changes in international politics, the stability and mutation of domestic politics, the unpredictability of changes in international geography and natural environment, and the psychological changes of international and domestic personnel are difficult for artificial intelligence to grasp. In terms of technology, although artificial intelligence has developed rapidly, it cannot be separated from its high dependence on data, which makes technological development equivalent to the basic fact in physics, that is, no matter how fast an object moves, it cannot exceed the speed of light. The decision-making process is the most important aspect of artificial intelligence participating in military decision-making and affecting future wars, and it is also the most complex process of military command under the background of war. However, at present, no army of any country or commander of any army can say so confidently that artificial intelligence can make all aspects of decision-making as rational as humans. In the face of huge amounts of data, the biggest advantage of artificial intelligence is computing. However, the prerequisite for humans is that some data does not need to be calculated and conclusions can be drawn by intuition. Moreover, decision-making and command often reflect the commander’s higher wisdom and art. The context of human-machine division of labor actually makes us more aware that more data will be used in war decisions in the future. Humans can hand over the decision-making power of certain matters to artificial intelligence, and necessary decisions must still be made by humans. The actual stage of human-machine division of labor is the harmonious division of labor and human-machine collaboration, especially the emphasis on rationality, humanity, morality and ethics of war by humans.

  The unreliability of artificial intelligence in prediction and judgment during war

  (1) Uncontrollable data in the strategic environment inevitably affects predictions: This may be reflected in the data itself and in the acquisition and use of data. The more prominent manifestations in data are: data falsification, data restriction, data control, data invalidity, and inability to analyze. The main manifestations in the source of data and data analysis are: there are many data sources and it is difficult to predict; data analysis is limited by technology; the scope of data continues to expand with the development of the network, diluting effective data; network systems and software are susceptible to interference from multiple parties; hackers and multiple parties harassment; conflicts among multiple technologies.

  (2) Military management judgment cannot be separated from human participation: Artificial intelligence faces many challenges in the process of participating in military management. First, military management judgment is a highly subjective issue. Second, the use of machine learning to complete this calculation process is also inevitably affected by human judgment. Third, the function used by AI has clear goals, and all relevant parties are guided by common goals to reach a consensus and exert the leadership and command of the troops. The command of the army often faces different military services, branches, and units. Their respective skills, tactics, capabilities, and cognition will be different. When artificial intelligence is used to solve these collective action problems, huge disputes are inevitable, which often makes the problem worse.

  In this section, the author points out two fatal weaknesses that artificial intelligence must face in participating in military command, and at least cannot be solved at present: one is that the reliability of data is difficult to guarantee, and the other is the problem of human participation. Regarding the reliability of data, in the course of war, there are often a lot of data that are difficult to distinguish between true and false. In addition to the controllability of data, as an opponent or a third party, they may intentionally control certain aspects of data, and the data provided may also be arranged with special content and logical relationships. It is even possible to intentionally distort the data and provide irrational scattered data, making the data analysis results irrelevant and unable to draw effective conclusions, thus losing the ability to judge. Humans will not solve the problem that human participation is necessary in the judgment process of artificial intelligence for a long time in the future. The current artificial intelligence is designed by humans. Although it can be trained and optimized through a large amount of data, humans do not allow artificial intelligence to break away from the regulations and constraints of humans in advance. Artificial intelligence is completely determined by its own design, optimization and upgrade. Considering that the military decision-making process is full of variables, it is impossible to completely hand over a military decision-making process to artificial intelligence. What artificial intelligence can accomplish is to automatically transmit data and analyze large quantities of data and provide results. If general management decisions can be handed over to artificial intelligence, then the real key decisions still need to be made manually. In fact, considering the decision-making of military management, especially the more complex, challenging and controlled decision-making and process in the war environment, artificial intelligence still has a long way to go to perfectly reflect the personal decision-making charm and intention of the commander, and to fully realize the collective integrated action of the army and the personalized command of diversified military services. Under human war conditions, each combatant, especially the end and senior commander of the combatant, has many variables in the execution of the war. For example, changes in wind, rain, ice and snow, rivers, lakes and seas, fighting will, road conditions, transportation capacity, production operation, material supply, etc. often lead to emergencies. Therefore, the actual battlefield often has more variables than design. In the many judgments of military management and battlefield decision-making, even under the conditions of future intelligent combat, human participation will still be dominant.

  Artificial intelligence has limited involvement in military decision-making tasks

  The article points out that artificial intelligence embodies four decision-making processes in the military decision-making task mechanism, and also embodies four corresponding decision-making characteristics, which are mainly manifested as follows.

  Automated decision-making process: The best example of AI performance is “automated decision-making”. First, it can reduce the work of administrative agencies. Second, AI helps to improve the efficiency and scale of routine activities. Finally, AI helps to optimize logistics supply chains. But even in these tasks, the intervention of human judgment is the basis and scale of automated decision-making.

  Manual decision-making process: AI cannot perform tasks characterized by limited, biased data and ambiguous, controversial judgments, which must be completed by human decision-making. For military strategy and command tasks, the “fog” in the environment and the “friction” in the organization all require human “ingenuity” to solve. Whenever the “fog” and “friction” are the greatest and human “genius” is most needed, the role of AI becomes weak.

  Decision-making automation process: Premature automation mainly refers to the intervention of AI when the conditions are not mature. Relying on AI is particularly dangerous when the data quality is low, but the machine has a clear goal and is authorized to act. The risk is greatest when the killing action is authorized. In addition, the data may be biased, and the machine may not understand human behavior well. The risks of premature automation are extreme in the military field (for example, friendly fire and civilian casualties). AI weapons may inadvertently target innocent civilians or friendly forces, or provoke hostile retaliation. As a result, AI often kills without regard for the consequences.

  Human-machine cooperation process: Human-machine cooperation refers to the need for the joint cooperation of humans and machines in the processing of large amounts of information. In fact, many judgment tasks are difficult, and human intervention is necessary to obtain high-quality data. In practice, intelligence analysts have an instinct to deal with deceptive targets and ambiguous data, and it is difficult for artificial intelligence to learn this instinct-based ability. Applying artificial intelligence to the judgment of such problems is a difficult and challenging practice. However, in human-machine cooperation, artificial intelligence is more about solving complex and large data and analyzing complex problems under human guidance. However, whether it is high-quality data analysis or the final decision, the dominant force is still people.

  The above lists the role of artificial intelligence in four different decision-making modes in the current military decision-making mechanism. Although the author did not say it explicitly, we can feel that these four processes either require human participation or the role of artificial intelligence is limited; in this overall process, artificial intelligence is also showing a weakening trend. These four processes can be reinterpreted as: artificial intelligence dominates the automatic decision-making process, artificial intelligence decision-making is limited in the manual decision-making process, decision-making is prematurely automated in the decision-making automation process, and human experience is difficult to replace in the human-machine cooperation process. In the first process, it is obvious that artificial intelligence can demonstrate its advantages in routine routine work, big data repetitive tasks, and programmed procedural activities. However, even in such activities, the scale and basis of human judgment are still the key to the realization of artificial intelligence. In the second process, it is mainly those cases where the data is small, the attitude is strong, the subjectivity is prominent, and the judgment is very easy to be ambiguous. Due to insufficient data, machine learning is difficult to complete, and each case may have specific changes, and it is impossible to form an overall judgment scale. In such a situation, artificial intelligence is often difficult to act. Humans’ unique values, worldviews, outlooks on life, moral emotions, personal spiritual realms, and personal work experiences often lead to very reasonable judgments on decisions like this, which is difficult for artificial intelligence to accomplish for the time being. Although there are still many experiments in this area, the ability of humans to comprehensively call on personal comprehensive knowledge, emotions, and value judgments in decision-making is significantly better than that of artificial intelligence. In the third process, the decision-making automation process has the advantages of huge data volume, fast data processing response, real-time data analysis results, and a reader-friendly interface. Therefore, for many problems, people are particularly inclined to collect relevant data from the beginning and use artificial intelligence to conduct data learning and analysis. However, since the data may have just begun to appear, or the data is easy to be manipulated or arranged, the actual data obtained is often only the front end of the actual data. Therefore, whether it is deep learning with artificial intelligence or data analysis with artificial intelligence, there will be premature automated analysis, and the trained artificial intelligence or the results of the analysis cannot fully identify the issues of concern. In fact, when we conduct research on any problem, it is difficult to guarantee that the data we obtain in a certain aspect represents all the data of the problem we are concerned about. Although the external data looks huge, this data may only be extremely biased or extremely local, extremely early or even immature data about the relevant things. The artificial intelligence based on this, whether it is training or calculation, the result is premature calculation, prematurely representing all the problem data information. And artificial intelligence itself, due to its high dependence on data, is difficult to escape the pre-determination of the data itself. Therefore, in the context of war, if the data of artificial intelligence is often interfered with, destroyed, deceived, manipulated and designed by relevant parties, then the decision-making judgments made by artificial intelligence are often unreliable, even very dangerous or tragic. Therefore, the outcome of leaving the war completely to artificial intelligence must be terrible: either the war has unlimited intensity, or there will be inhumane killings. After all, it is difficult for artificial intelligence to make rational value judgments and humane emotional decisions. In the fourth process, the author highly emphasizes that in human-machine cooperation, human judgment can produce a high level of judgment in deceptive, slightly different, ambiguous, unclear data and diversified data. This is an instinct generated by professional experience. Although artificial intelligence can obtain some amazing conclusions in the study of big data, such analysis standards and strategies can never escape human design and are constantly adjusted under human intervention. Of course, we must also point out that artificial intelligence’s values, moral sense, humanity and emotions cannot surpass humans in any way. Although it can have super knowledge content, logic and computing power, at present and for a long time in the future, considering the auxiliary data processing status of artificial intelligence in human-machine cooperation, even if artificial intelligence reaches human sensitivity, complexity, sharpness, consciousness and intuition, we will still give the complex and important final decision-making power to humans themselves.

  In response to the above situation, the author discussed and reflected on the role of artificial intelligence in war and came to the following conclusions: First, the artificial intelligence data and judgments used by military organizations rely on human intervention; second, opponents in war have the motivation to complicate the data and judgments that artificial intelligence relies on; third, it is too early for artificial intelligence machines to replace human soldiers; finally, the unintended consequences and controversies brought about by artificial intelligence-driven wars are becoming increasingly prominent. For this reason, the author emphasizes that it is too early to assume that artificial intelligence will replace humans in war or any other competitive activities. Whether from the environment and conditions of the war itself, the process of war decision-making, the deep learning and computing of artificial intelligence in war, and the performance of artificial intelligence in the execution of military tasks, there is every reason to believe that even in future wars dominated by artificial intelligence, the role of humans will become increasingly important.

  Here, the author puts forward a view that is very different from the current mainstream view: military artificial intelligence will not replace human dominance in war, but will instead highlight the prominent position and role of artificial intelligence in future wars. The author’s view should be worthy of deep thinking by artificial intelligence researchers, especially military artificial intelligence researchers. The author analyzes from many aspects why artificial intelligence cannot be independent of humans, act alone, and take on major tasks in future wars: the diverse context of war brings insurmountable challenges to artificial intelligence; the prediction and judgment of artificial intelligence in war cannot be reliable; artificial intelligence has limited ability to participate in military decision-making and cannot completely replace human participation and decision-making. In particular, it emphasizes the difficulty of grasping war itself, the unpredictability of multiple factors, the elusiveness and deliberate design and deception of all parties involved, the complexity, variability, deception, uncontrollability and difficulty in ensuring the authenticity of the war data obtained, and the vulnerability of artificial intelligence in prediction and judgment: the problems solved by artificial intelligence, the basis for solving them, the process of solving them, the procedures for solving them and the models for solving them are all affected by human factors, as well as the limited ability of artificial intelligence to participate in military decision-making. These three aspects show that artificial intelligence still faces many challenges in war and give us important inspiration: it is too early for artificial intelligence to dominate the future battlefield and become a truly independent warrior and war commander in future wars. Only humans are the masters and rulers of war. Due to the high degree of dominance of humans in the design of artificial intelligence, we hope that the day when artificial intelligence dominates war will never come. As humans, we expect that when artificial intelligence is galloping on the track of war, the developers of artificial intelligence should also always take ethical emotions and international law, the law of war and humanitarianism as the bottom line. This is the basic guarantee for peaceful development, harmonious development and harmonious development on the earth, and the pursuit of beauty, peace and happiness.

  At present, we are paying close attention to the rapid development of artificial intelligence. In particular, the development of ChatGPT, which can handle all kinds of challenges in daily chatting, knowledge search, question answering, problem solving, programming, business management, project planning, language translation, paper writing, and literary creation, has indeed sounded the alarm for many positions that undertake deep mental work. However, no matter how artificial intelligence develops, no matter how subversive artificial intelligence like ChatGPT develops in the military field, humans are the leaders of artificial intelligence and the masters of war, and only humans can ensure the humanity, legitimacy, and effectiveness of war. I hope that the development of artificial intelligence can eliminate war.

現代國語:

摘要:本文評論了《國際安全》期刊上發表的《預見與判斷:為什麼人工智慧增強了人在未來戰爭中的重要性》一文,探討了人工智慧在戰爭戰略決策過程中所面臨的脈絡挑戰問題,以及戰爭環境下人工智慧參與預測與判斷的難度與不可控性,分析了軍事決策中人工智慧常見的決策過程及其特點,指出其中人工因素所扮演的重要角色。

近年來,人工智慧發展迅猛,被廣泛應用於商業、物流、通訊、交通、教育、傳播、翻譯等眾多領域,軍事領域也對其高度重視。大量研究和實踐表明,人工智慧大體可以取代人類在眾多崗位上的工作,因此,用人工智慧進行軍事行動並主導未來戰爭中的所有行動成為人工智慧在軍事領域的目標。未來戰爭,實質是人工智慧的戰爭。高德法伯與喬恩R.林賽在《預見與判斷:為什麼人工智慧增強了人在未來戰爭中的重要性》(Prediction and Judgment: Why Artificial Intelligence Increases the Importance of Humans in War)一文中指出,未來戰爭中,人工智慧不可能取代人類,人工智慧不但沒有弱化人類的作用,相反也增強了人類在戰爭中的重要性。作者認為,純粹機器支援下的人工智慧解決不了當下和未來戰爭中的問題,主要是數據的品質問題以及判斷的困難性,加上對手的掩蓋、欺騙和乾擾,純粹機器支持下的人工智慧在未來戰爭中的作用將大打折扣。兩位作者主要從戰略脈絡、戰爭中的人工智慧、人工智慧在軍事決策中的表現以及軍事人工智慧戰略意義的討論與反思四個主要方面論述了人工智慧在當下及未來戰爭中依然無法取代純人工,相反,人類的角色在未來戰爭中依舊重要。其分析過程和主要觀點如下所示。為了便於對相關觀點直接做出評價,我們也一併在各方觀點之後給出了相應的評論。

軍事組織決策的戰略脈絡為人工智慧帶來了巨大挑戰

作者指出,軍事組織的決策會受到多方面的影響,整體說來,可能會表現為如下情況:(1)政治脈絡:政治脈絡主要表現為戰略環境與設施條件與心理偏好;(2)技術脈絡:機器學習的快速推進可以完成包括影像辨識、導航等在內的更精準、複雜、便捷以及更大數量上的預報;(3)決策過程:本過程主要涉及目標、價值、環境的客觀事實以及由此抽取的推理,也就是一個判斷、數據以及預測的過程;(4)人機分工:人工智慧的運用都是數據品質和判斷困難性所形成的函數,數據的品質高低、判斷的明確或困難決定了人機在決策上的相對優勢。

應該說,作者此處抓住了當前人工智慧參與軍事決策、擔任軍事具體角色、完成各種軍事任務、實現戰略戰役意圖過程中面臨的主要宏觀語境因素。政治脈絡往往是人工智慧最難掌握的條件,國際政治與國內政治,特別是國際間外交關係不穩定、國際政治的風雲突變、國內政治的穩定與突變性、國際地理和自然環境變化的不可預測性、國際與國內人員的心理變化等,是人工智慧難以掌握的。在技​​術方面,儘管人工智慧快速發展,但是,其無法脫離對資料的高度依賴性,這使得技術發展等同於物理學中的基本事實,即物體的移動速度再快也無法超越光速限制。決策過程,是人工智慧參與軍事決策影響未來戰爭的最重要的方面,也是戰爭背景下軍事指揮最為複雜的過程。但是,目前還沒有哪一個國家的軍隊、哪一個軍隊的指揮官能夠如此自信地說,人工智慧可以將決策的所有環節做到像人一樣有獨特的理性。面對龐大的數據,人工智慧的最大優勢是計算,但是,人類的先決條件是,有些數據不需要計算,憑直覺便能得出結論,更何況決策指揮往往體現指揮員更為高超的智慧與藝術。人機分工的脈絡其實讓我們愈發體認到,未來將有更多數據運用到戰爭決策中,人類可以將某些事務的決策權交給人工智慧,必要的決策仍要由人類來做。人機分工實際走向的階段,是人機的和諧分工與人機協同,特別是人類對戰爭的理性、人性、道德與倫理的重視。

戰爭中人工智慧在預測與判斷上的不可靠性

(1)戰略環境的不可控制資料難免影響預測:這可能表現在資料本身以及資料的取得與使用。資料方面較突出的表現為:資料造假、資料受限、資料受控、資料無效、無法分析等。在資料的源頭和資料分析中的主要表現為:資料來源眾多,難以預料;資料分析受技術限制;資料範圍隨網路發展不斷擴大,稀釋有效資料;網路系統和軟體易受多方幹擾;駭客以及多方的襲擾;多種技巧的衝突。

(2)軍事管理的判斷無法脫離人工參與:人工智慧在參與軍事管理過程中面臨眾多考驗。第一,軍事管理的判斷是個主觀性極強的問題。第二,運用機器學習來完成這個計算過程也不得不受人為判斷影響。第三, AI所使用的函數目標明確,各相關方為共同目標所牽引達成一致,發揮部隊領導指揮力。軍隊的指揮往往要面臨不同軍兵種、分支機構、單位人員,各自的技戰術、能力以及認知等都會有差異,讓人工智慧來解決這些集體行動問題時,難免會出現巨大的爭議,往往會使得問題變得更糟。

在這部分,作者指出了人工智慧參與軍事指揮中不可不面對,而且至少當下無法解決的兩個致命弱點:一個是數據的可靠性難以保證,一個是人工參與問題。關於數據的可靠性,在戰爭過程中,數據往往存在大量真假難辨的情況。再加上數據的受控性,作為對手一方以及第三方,可能有意控制某方面的數據,提供的數據也做了特殊內容以及邏輯關係的安排,甚至還有可能將數據做有意歪曲以及提供無理性的分散數據,使得數據分析結果毫無關聯性,也無法得出有效結論,從而喪失判斷能力。人類在未來很長一段時間內不會解決人工智慧判斷過程中必須有人工參與此問題。當下的人工智慧都是由人類設計出來的,儘管可以透過大量資料進行訓練以及優化,但是,當下人類還不允許人工智慧脫離人類事先的規定和約束,完全由人工智慧來決定自身的設計與優化和升級。考慮到軍事決策過程充滿了變數,不可能將一個軍事決策過程完全交給人工智慧來完成。人工智慧能夠完成的,就是自動化的傳遞數據以及大量的數據分析並提供結果。如果說一般的管理決策可以交給人工智慧來完成,那麼真正的關鍵決策,還是要交給人工來實現。實際上,考慮到軍事管理的決策,特別是戰爭環境下更為複雜、更具有挑戰性、更為受控的決策與過程,人工智慧要想完美體現指揮官的個人決策魅力和意圖,要想完全實現軍隊集體一體化行動以及多樣化軍兵種的個人化指揮,還有很長的路要走。人類戰爭條件下,每一個參戰方,特別是作戰者末端和高級指揮方對戰爭的執行有著很多的變量,比如,風雨冰雪、江河湖海、戰鬥意志、道路狀況、運輸能力、生產運行、材料補給等方面的變化往往會導致突發狀況。因此,實際的戰場往往變數大於設計。在軍事管理與戰場決策的眾多判斷中,即便是在未來智慧化作戰條件下,人工的參與將依舊處於主導地位。

人工智慧在軍事決策任務機制中參與受限

文章指出,人工智慧在軍事決策任務機制中體現了四種決策過程,也體現了相應的四種決策特點,其主要表現如下。

自動決策過程:人工智慧效能的最佳案例就是「自動決策」。首先,它可以減少行政機構的工作。其次,人工智慧有助於提高常規活動的效率和規模。最後,人工智慧有利於優化物流供應鏈。但即便是在這些任務中,人的判斷的介入才是自動決策提供決策的依據和判斷的尺度。

人工決策過程:人工智慧無法執行以有限、有偏見的數據和模棱兩可、有爭議的判斷為特徵的任務,這必須要人工決策來完成。對於軍事戰略和指揮任務來說,環境中的「迷霧」、組織中的「摩擦」等都需要人類的「聰明才智」來解決。每當「迷霧」和「摩擦」最大,最需要人類「天才」的時候,人工智慧的作用就變得弱小了。

決策自動化過程:過早的自動化主要是指在條件不成熟的情況下進行人工智慧的介入。在資料品質低但機器有明確目標並獲得授權採取行動的情況下,依賴人工智慧尤其危險。當授權採取殺戮行動時,風險最大。另外,數據也可能有偏差,而且機器也不能很好地理解人類的行為。過早自動化的風險在軍事領域是極端的(例如,誤傷和平民傷亡)。人工智慧武器可能無意中以無辜平民或友軍為目標,或引發敵對報復。因此,AI 往往會不顧及後果地殺人。

人機合作過程:人機合作指的是在大量資訊處理中需要人工和機器的共同協作。實際上,在許多判斷任務中困難重重,要獲得高品質的數據必須介入人工。在實踐中,情報分析人員處理欺騙性目標和模糊資料有著一種本能,人工智慧難以學到這種基於本能的能力。將人工智慧應用到這類問題的判斷中是一項困難和挑戰性極大的實踐。但是,人工智慧在人機合作中更多的還是在人工指導下解決複雜、龐大的數據以及分析複雜問題。不過,無論是高品質的數據分析,還是最後的決策,主導力量仍然是人。

以上羅列了當前人工智慧在參與軍事決策機制過程中,四種不同決策模式情況下人工智慧所扮演的角色。儘管作者沒有明說,但是我們能夠感覺到,這四個過程要不是需要人工的參與,就是人工智慧的作用受限;在這個整體過程中,人工智慧還隱約呈現出弱化的趨勢。這四個過程可以重新解讀為:自動決策過程中人工智慧占主導地位,人工決策過程中人工智慧決策受限,決策自動化過程中決策過早自動化以及人機合作過程中人工經驗難以取代。在第一個過程中,顯然人工智慧能夠體現自身在常規慣例性工作、大數據重複性任務、程式化程序性活動中的優勢,但是,即便是在這類活動中,人的判斷尺度和依據依舊是人工智慧得以實現的關鍵。在第二個過程中,主要是那些數據偏小、態度性強、主觀性突出、判斷極易出現模棱兩可情況,由於數據量不足,機器學習難以完成,而且每一個個案可能都有具體變化,無法形成總體的判斷尺度,在這樣的情況下,人工智慧往往難以作為。人類獨有的價值觀、世界觀、人生觀、道德情感、個人精神境界以及個人工作經驗,往往會對類似這樣的決策做出非常合理的判斷,這個是人工智慧一時難以完成的,儘管這方面的實驗依舊很多,但是人類決策中綜合調用個人綜合知識以及情感與價值判斷的能力明顯優於人工智慧。在第三個過程中,決策自動化過程由於具有資料量龐大、處理資料反應快、分析資料結果即時化、讀者介面親近友善等優勢,因此,對於許多問題來說,人們特別傾向於一開始就將相關數據集合起來,並利用人工智慧進行數據學習和分析,但由於數據可能剛開始呈現,或者數據易被操控或者安排,實際獲得數據往往只是實際數據的前端部分,因此,無論是用人工智能進行深度學習還是用人工智慧進行資料的分析,都會出現過早自動化分析的情況,所訓練的人工智慧或說分析的結果都無法全面標識所關心的問題。而實際上,我們在進行任何問題研究時,很難保證我們獲取的某個方面的數據代表了所關心問題的全部數據,儘管外部數據看上去很龐大,但是這個數據很可能只是有關事物的極為偏態或極為局部、極為初期乃至不成熟的資料。在此基礎上的人工智慧,無論是訓練和計算,其結果都是過早計算,過早代表了問題資料資訊的全部。而人工智慧自身,由於對於資料的高度依賴性,很難逃離資料本身的先設決定。因此,在戰爭背景下,如果人工智慧的數據經常受到有關方面的干擾、破壞、欺騙、操控與設計,那麼,人工智慧得出的決策判斷往往是不可信賴,甚至是非常危險或可悲的。因此,完全把戰爭交給人工智慧的結局肯定是可怕的:要么是戰爭出現了無限制的烈度,要么出現慘無人道的殺戮,畢竟人工智慧很難做到人類理性的價值判斷以及人道情感決策。在第四個過程中,作者高度強調了人機合作中,人工的判斷能夠在欺騙性、微小差別、模棱兩可、模糊不清的數據以及多樣化數據中產生一種高水平的判斷,這是一種職業經驗產生的本能;儘管人工智慧能在大數據的學習中獲取某些讓人驚嘆的結論,但是這樣的分析標準和策略,始終逃脫不過人工的設計,也始終在人工的干預下不斷調整。當然,我們也要指出的是,人工智慧的價值觀、道德感、人性和情感,無論如何是超越不了人類的,儘管其可以具備超強的知識含量、邏輯性和計算能力,但是在目前和未來相當長一段時間,考慮到人工智慧在人機合作中的輔助處理資料地位,即便人工智慧達到人類的敏感、複雜、敏銳、自覺與直覺,我們仍會將複雜而重要的最後決策權交給人類本身。

針對以上情況,作者對人工智慧在戰爭中的作用做了一番討論和反思,得出如下結論:首先,軍事組織使用的人工智慧數據和判斷都依賴人工的干預;其次,戰爭中的對手有動機使人工智慧依賴的數據和判斷複雜化;再一次,現在人工智慧機器取代人類戰士所帶來的優勢還為時過早;最後,人工智慧所驅動的戰爭帶來的不可意想的後果和爭議日益突出。為此,作者強調,現在就認為人工智慧將在戰爭或任何其他競爭活動中取代人類還為時過早。無論從戰爭本身的環境和條件,戰爭決策的過程,戰爭的人工智慧深度學習與運算,以及人工智慧參與軍事任務執行的表現來看,有充分的理由相信,即便是未來在由人工智慧主導的戰爭中,人類的角色也會愈加重要。

此處,作者提出了與當下主流觀點很是相左的觀點:軍事人工智慧不會在戰爭中取代人類的主導,相反還會凸顯人工在未來戰爭中的突出地位與作用。作者的觀點應該值得人工智慧研究者,特別是軍事人工智慧研究者的深度思考。作者從多方面分析了人工智慧無法做到在未來戰爭中獨當一面、獨立人類、獨行其道、獨當大任:戰爭的多樣化語境為人工智慧帶來不可逾越的挑戰;戰爭中人工智慧的預測與判斷無法做到可靠;人工智慧在軍事決策中參與能力有限、無法完全取代人類的參與和決策。特別是強調了戰爭本身的難以捉摸性、多方因素的不可預測性、各參與者的難以捉摸和刻意設計與欺騙性,所獲得的戰爭數據的複雜性、多變性、欺騙性、不可控制性、難以確保真實性,人工智慧在預測和判斷中的脆弱性:人工智慧所解決的問題、解決的依據、解決問題的過程、解決的程序以及解決的模型都受人工因素的影響,以及人工智慧在軍事決策中參與能力的受限三大面向,向人們展示了戰爭中人工智慧還面臨諸多挑戰,給了我們重要的啟示:人工智慧要主宰未來戰場,成為未來戰爭中真正獨立於人類之外的戰士和戰爭指揮者,還為時過早。唯有人類才是戰爭的主人和主宰者。由於人類對人工智慧設計的高度主宰性,我們希望人工智慧主宰戰爭這一天永遠不會到來。當人類的我們期望人工智慧在戰爭的賽道上疾馳時,人工智慧的開發者也要把倫理情感和國際法、戰爭法、人道主義始終作為底線,這是在地球上和平發展、和諧發展、和諧發展,追求美好、追求和平、追求幸福的基本保證。

當前,我們對人工智慧的快速發展高度關注。特別是ChatGPT的發展,它在日常聊天、知識搜尋、問題回應、難題解題、編寫程式、經營管理、專案規劃、語言翻譯、論文撰寫、文學創作等方面能夠接受百般刁難,確實已向承擔深度腦力工作的眾多崗位拉響了警報。但是,無論人工智慧如何發展,無論類似ChatGPT這樣具有顛覆性的人工智慧在軍事領域怎樣發展,人類才是人工智慧的主導者和戰爭中的主宰者,也只有人類才能確保戰爭的人道性、合法性和有效性。但願人工智慧的發展能夠消滅戰爭。

原文責任編輯:舒建軍 馬氍鴻

(本文註釋內容略

中國原創軍事資源:https://www.cssn.cn/dkzgxp/zgxp_gjshkxzzzwb/gjshkxzz202301/202308/t20230807_5677376.shtml

Aspects of Chinese intelligent warfare: Artificial intelligence will change the winning mechanism of future Chinese wars

中國智慧化戰爭看點:人工智慧將改變未來中國戰爭制勝機制

現代英語:

Artificial intelligence technology is an important support for improving strategic capabilities in emerging fields. It has developed rapidly in recent years and is widely used in the military field. It continues to generate new asymmetric advantages and profoundly changes the basic shape, combat methods and winning mechanisms of future wars. We should have a deep understanding of the revolutionary technological power of artificial intelligence, accurately identify changes, respond scientifically, and proactively seek changes, and strive to explore ways to win future wars, and win the initiative in the accelerating intelligent wars.

information mechanism

If you know your enemy and yourself, you can fight a hundred battles without danger. Quickly and effectively mastering all-round information is the primary prerequisite for winning a war. Artificial intelligence can realize intelligent perception of battlefield situation, intelligent analysis of massive data, and intelligent processing of multiple information, and can form a “transparent” advantage on the battlefield.

Autonomous implementation of battlefield awareness. By embedding intelligent modules into wartime reconnaissance systems, various types of reconnaissance node units can achieve random networking, on-the-fly collaboration, and organic integration. They can independently capture battlefield information in all directions and dimensions, and build a relatively “transparent” digital battlefield environment and combat situation. It then clears the “fog” of war and presents combat scenes in a panoramic manner.

Accurate identification of massive data. Relying on intelligent technologies such as precise sensing technology and analysis and recognition technology, it can accurately interpret, analyze, compare and integrate diversified voice, text, pictures, videos and other data to obtain a faster, more complete, more accurate and deeper battlefield situation. The result is far faster and more accurate than human brain processing.

Respond efficiently to key information. Based on intelligent technology groups such as combat cloud, big data, and the Internet of Things, it can quickly excavate large quantities of non-standardized and heterogeneous intelligence data, independently discover symptoms, identify intentions, study trends, find patterns, and respond accurately in real time. Commander’s need for critical information.

Synchronize and share the integration situation. The intelligent control system can optimize and integrate various reconnaissance and surveillance systems distributed in different spaces and frequency domains such as land, sea, air and space power grids, and play an important hub role in sharing information and unified cognition, building a system based on “one picture” and “one picture”. The “open network” and “one chain” situation enables all combat units to synchronously share the required information from different spaces, distances, and frequencies in all areas, all frequencies, and all the time, realizing wisdom sharing.

Decision-making mechanism

If the husband has not fought yet and the temple is considered the winner, he must be considered the winner. Scientific and accurate decision-making is a prerequisite for winning a war. Artificial intelligence can conduct dynamic battlefield simulations, quickly make feasible decisions, significantly shorten the operational planning and decision-making cycle, and form a decision-making advantage.

Intelligent analysis and judgment of strategic situations. The decision-making assistance system integrated with artificial intelligence technology has functions such as information collection, query management, data processing, and correlation analysis. It can effectively break through the limitations of human analysis capabilities, maximize the elimination of falsehoods and preserve truths, correlation verification, and link thinking, and automatically conduct analysis of the enemy’s situation, our situation, and our situation. Big data analysis such as battlefield environment can form comparative data on relevant troops, weapons, etc., which can effectively assist combat command and help commanders quickly make combat decisions.

Intelligent selection of combat plans. Relying on the intelligent combat simulation system, based on the pre-entered combat missions and target information, multiple sets of intuitive plans and plans are automatically generated, comprehensively evaluate their advantages, disadvantages and potential risks, and select the plan that is most conducive to realizing the commander’s intention. for the commander to make the final decision. After receiving combat missions and target requirements from superiors, each combat unit further screens and screens battlefield target information based on the tasks and requirements at this level, and independently formulates the optimal solutions and plans at this level to maximize combat effectiveness.

Intelligent prediction of decision-making effectiveness. The intelligent auxiliary decision-making system relies on intelligent technologies such as big data, high-performance computing, and neural network algorithms to give the command and control system more advanced “brain-like” capabilities. It can think more rationally about unexpected situations on the battlefield and quickly draw relative conclusions. Objective results of the engagement.

power control mechanism

Powerful people control power because of profit. Seizing power is a key factor in gaining a winning edge in war. Artificial intelligence can “transplant” part of human intelligence into weapons, making the integration of humans and weapon systems closer and closer. In-depth human-machine integration has changed the traditional elements of power control and given new power control connotations, which can help to obtain new technologies. control advantage.

Territorial power expanded to high frontiers. In the future, highly intelligent unmanned systems will operate in extreme environments such as extreme heights, extreme distances, extreme depths, extremely low temperatures, extreme darkness, and extreme brightness, even under harsh conditions such as high temperature, extreme cold, high pressure, hypoxia, poison, and radiation. , a variety of combat missions can still be carried out, and the battle for control of the combat field and combat space extends to high frontiers, far frontiers, and deep frontiers.

Expand the right to control information to multiple means. The traditional way of seizing and controlling information power is to control the acquisition, processing, and distribution of information by attacking the enemy’s reconnaissance and early warning system and destroying its command and control system. However, information operations led by artificial intelligence use information itself as “ammunition”. ”, the means to seize the right to control information are more diverse.

Network control rights are expanded to distributed areas. The network information system built based on intelligent technology provides a ubiquitous network “cloud” to aggregate battlefield resources of various terminals and provide services. It can realize modular grouping and automatic reorganization of combat forces. Traditionally, it can achieve network outage and destruction by attacking key nodes. The purpose of the chain will be difficult to achieve, and the “decentralized” battlefield must be dealt with in an intelligent distributed attack mode.

Brain power expands to new dimensions. The gradual militarization of brain-inspired technology and simulation technology has formed a new field of games and confrontations. The focus has shifted from focusing on confrontation in the physical and information domains to more emphasis on influencing and controlling the opponent’s psychology. Technologies such as virtual reality and audio-visual synthesis can confuse fakes with real ones. “Core attack warfare” can quietly change the enemy’s command and control system algorithm, and “brain control warfare” can directly control the enemy’s decision-making. By controlling and influencing the enemy’s psychology, thinking, will, etc., it can achieve control at the minimum cost. The purpose of war and victory.

Mechanism of action

The passion of soldiers is the key to speed, taking advantage of others’ disadvantages. Taking actions that the enemy does not expect is the key to winning a war. Artificial intelligence can improve the intelligence of weapons and equipment, command and control systems, and operational decision-making, making maneuver response capabilities faster and joint strike capabilities more accurate, creating a super operational advantage.

The speed of action is “instantaneous”. The intelligent combat system can see, hear, learn, and think, effectively shortening the “OODA” cycle. Once an “opportunity is found,” it will use intelligently controlled hypersonic weapons, kinetic energy weapons, and lasers. Weapons, etc., can quickly “kill” targets from a long distance.

The action style is “unmanned”. “Unmanned + intelligence” is the future development direction of weapons and equipment. Low-cost unmanned autonomous equipment such as unmanned vehicles, drones, and unmanned underwater vehicles, with the support of the cluster autonomous decision-making system, can plan the task division of each unit according to the combat objectives, and accurately dock and autonomously combine the unmanned aerial vehicles. , covert penetration, and carry out cluster saturation attacks on the enemy.

The space for action “blurs”. In future wars, using interference means to carry out soft attacks on the enemy’s intelligent combat systems and smart weapons, and using smart weapons to delay or affect the decision-making and psychology of enemy personnel will become the key to victory. Most of these actions were completed unknowingly or silently, presenting a “blurred” state in which neither the enemy nor ourselves were visible, the boundaries between the front and the rear were unclear, and the visible and invisible were difficult to distinguish.

The operational layout is “invisible”. Intelligent command systems and weapons and equipment have bionic and stealth properties. As long as they are deployed in possible combat areas in advance during peacetime preparations or training exercises, they are lurking in advance, dormant and ready for battle. Once needed in wartime, they can be activated in a timely manner to launch a sudden attack on the enemy, which will help to quickly grasp the initiative in the war.

System mechanism

Five things and seven strategies to know the outcome. Future wars will be systematic confrontations in all fields, systems, elements, and processes. A stable and efficient combat system is the basic support for winning the war. As the application of artificial intelligence in the military field continues to expand, the combat system is becoming more and more intelligent, and a fully integrated combat system will produce powerful system advantages.

There are more means of “detection”. The intelligent combat cluster relies on the network information system to connect with various large-scale sensors, electronic warfare systems and other human-machine interaction platforms. It uses each combat unit’s own detection and sensing equipment to obtain battlefield data, leverages the self-organizing characteristics of the intelligent group, and strengthens joint operations. The real-time reconnaissance and surveillance support of the system and back-end intelligence analysis can realize full-area reconnaissance and search, joint early warning, and collaborative verification, forming a multi-dimensional integrated, full-area coverage large-area joint reconnaissance intelligence system.

The field of “control” is wider. The use of intelligent unmanned combat platforms can break through the logical limits of human thinking, the physiological limits of the senses, and the physical limits of existence, and replace humans into traditional restricted areas of life such as the deep sea, space, polar regions, and areas with strong radiation, and stay there for a long time. Implement “unconventional operations” to further expand the combat space and have the ability to continue to deter opponents in a wider area.

“Hit” is faster. With the support of the intelligent network information system, the intelligence chain, command chain, and kill chain are seamlessly connected. Information transmission speed, decision-making speed, and action speed are simultaneously accelerated. Intelligent combat units can be flexibly organized, autonomously coordinated, and struck quickly. All these make time utilization extremely efficient and battlefield reaction speed extremely fast.

The accuracy of “evaluation” is more accurate. Using intelligent technologies such as experiential interactive learning and brain-like behavioral systems, the intelligent combat assessment system can independently collect, aggregate and classify multi-means action effect assessment information, accurately perceive battlefield actions based on big data and panoramic views, and dynamically identify Combat process and correct deficiencies, predict complex battlefield changes, comprehensively plan and respond flexibly.

“Guarantee” is more efficient. The widespread application of intelligent comprehensive support systems, represented by equipment maintenance expert systems and intelligent sensing equipment, can efficiently respond to support needs in various domains, intelligently plan support resources, ensure that the “cloud” aggregates various battlefield resources, and effectively enhances the networked battlefield Comprehensive support capabilities.

(Author’s unit: Henan Provincial Military Region)

現代國語:

人工智慧技術是提升新興領域策略能力的重要支持。近年來發展迅速,在軍事領域廣泛應用。它不斷生成新的不對稱優勢,深刻改變未來戰爭的基本形態、作戰方式和勝利機制。我們應該深刻認識人工智慧革命性技術力量,準確辨識變化、科學應對、主動求變,努力探索打贏未來戰爭的辦法,在加速推進的智慧化戰爭中奪取主動權。

資訊機制

知己知彼,百戰不殆。迅速有效地掌握全方位資訊是贏得戰爭的首要前提。人工智慧可以實現戰場態勢的智慧感知、大量數據的智慧分析、多種資訊的智慧處理,可以在戰場上形成「透明」優勢。

自主實施戰場感知。透過在戰時偵察系統中嵌入智慧模組,使各類偵察節點單元實現隨機組網、動態協同、有機融合。它們能夠自主獲取全方位、多維度的戰場訊息,建構相對「透明」的數位化戰場環境和作戰態勢。它撥開戰爭的“迷霧”,全景式地呈現戰鬥場景。

海量資料精準識別。依托精準感知技術、分析辨識技術等智慧技術,對多樣化的語音、文字、圖片、視訊等數據進行精準解讀、分析、比較與整合,獲得更快、更全、更準、更深層的戰場態勢。其結果比人腦處理的速度更快、更準確。

有效響應關鍵訊息。基於作戰雲、大數據、物聯網等智慧技術群,快速挖掘大量非標準化、異質情報數據,自主發現症狀、辨識意圖、研究趨勢、尋找模式、精準應對即時。指揮官需要關鍵資訊。

同步分享整合情況。智慧控制系統能夠優化整合陸、海、空、天電網等分佈在不同空間、不同頻域的各種偵察監視系統,發揮資訊共享、統一認知的重要樞紐作用,建構基於智慧感知的體系。一張圖」與「一張圖」。 「開網」「一條鏈」的局面,使各作戰單元能夠全地域、全頻率、全時間,同步分享不同空間、不同距離、不同頻率的所需信息,實現智慧共享。

決策機制

如果丈夫還沒有戰鬥,而寺廟被認為是勝利者,那麼他必須被視為勝利者。科學準確的決策是贏得戰爭的前提。人工智慧可以進行動態戰場模擬,快速做出可行決策,大幅縮短作戰規劃和決策週期,形成決策優勢。

智能分析判斷戰略情勢。融入人工智慧技術的決策輔助系統具有資訊收集、查詢管理、資料處理、關聯分析等功能。能有效突破人的分析能力限制,最大限度實現去偽存真、關聯驗證、連結思考,自動進行敵情、我情、我勢分析。戰場環境等大數據分析可以形成相關兵力、武器裝備等比較數據,可以有效輔助作戰指揮,幫助指揮官快速做出作戰決策。

智慧選擇作戰計畫。依托智能作戰模擬系統,根據預先輸入的作戰任務和目標訊息,自動產生多套直觀的作戰方案和計劃,綜合評估其優勢、劣勢及潛在風險,選取最有利於實現了指揮官的意圖。由指揮官作出最終決定。各作戰單元接到上級作戰任務和目標要求後,依據本級任務和要求,對戰場目標資訊進行進一步甄別篩選,自主制定本級最優解決方案和預案,最大限度提高戰鬥力。

智慧預測決策的有效性。智慧輔助決策系統依賴大數據、高效能運算、神經網路演算法等智慧技術,賦予指揮控制系統更先進的「類大腦」能力。能夠更理性地思考戰場上的突發狀況,並迅速得出相關結論。參與的客觀成果。

權力控制機制

有權勢的人因為利益而控制權力。奪取政權是戰爭中取得勝利的關鍵因素。人工智慧可以將人類部分智慧「移植」到武器中,使得人與武器系統的結合越來越緊密。人機深度融合改變了傳統的動力控制要素,賦予了動力控制新的內涵,有助於獲得新的技術。控制優勢。

領土權力擴展到高地邊境。未來高度智慧的無人系統將在極高、極遠、極深、極低溫、極暗、極亮等極端環境下,甚至在高溫、極寒、高壓、缺氧、中毒和輻射。 ,多種作戰任務仍可實施,戰場和作戰空間控制權的爭奪向高邊、遠邊、深邊延伸。

將資訊控制權拓展到多種手段。奪取和控制資訊權的傳統方式是透過攻擊敵方偵察預警系統、摧毀敵方指揮控制系統來控制資訊的取得、處理和發布。然而,人工智慧主導的資訊作戰,是以資訊本身作為「彈藥」的。 ”,奪取資訊控制權的手段更加多樣化。

網路控制權擴展至分散式區域。基於智慧技術建構的網路資訊體系,提供無所不在的網路“雲”,聚合各類終端的戰場資源並提供服務。可實現作戰力量模組化編組和自動重組。傳統上它透過攻擊關鍵節點來實現網路中斷和破壞。鏈上的目的將很難實現,必須以智慧分散式的攻擊方式來應對「去中心化」的戰場。

腦力拓展至新的維度。類腦技術、模擬技術逐漸軍事化,形成了新的博弈與對抗領域。從注重身體和資訊領域的對抗,轉向更加重視影響和控制對手的心理。虛擬實境、視聽合成等技術可以使真假混淆。 「核心攻擊戰」可以悄悄改變敵人的指揮控制系統演算法,「腦控戰」則可以直接控制敵人的決策。透過控制和影響敵人的心理、思維、意誌等,以最小的代價來實現控制。戰爭的目的和勝利。

作用機制

士兵的熱情是速度的關鍵,利用別人的劣勢。採取敵方意想不到的行動是贏得戰爭的關鍵。人工智慧可以提升武器裝備、指揮控制系統、作戰決策的智慧化,讓機動反應能力更快速、聯合打擊能力更精準,打造超級作戰優勢。

作用速度是「瞬時的」。智慧作戰系統能夠看、聽、學、想,有效縮短「OODA」週期。一旦“發現機會”,它就會使用智慧控制的高超音速武器、動能武器和雷射。武器等,可以從遠距離快速「殺死」目標。

行動方式為「無人化」。 「無人化+智能化」是未來武器裝備的發展方向。無人駕駛汽車、無人機、無人潛航器等低成本無人自主裝備,在集群自主決策系統支援下,可依作戰目標規劃各單元任務分工,精準對接、自主組合無人駕駛飛行器。 、隱蔽滲透,對敵方實施集群飽和攻擊。

行動空間「模糊」。未來戰爭中,利用乾擾手段對敵方智慧作戰系統和智慧武器實施軟攻擊,利用智慧武器延緩或影響敵方人員的決策和心理,將成為勝利的關鍵。這些動作大多是在不知不覺中或默默無聞地完成的,呈現出一種「模糊」的狀態,雙方都沒有意識到。無論是敵人還是自己,都是看不見的,前方與後方的界線不清,看得見與看不見的難以區分。

作戰佈局「隱形」。智慧指揮系統和武器裝備具有仿生、隱身性能。只要在平時準備或訓練演習中,提前部署到可能的作戰區域,就是提前潛伏,蟄伏,隨時準備戰鬥。一旦戰爭需要,可以及時投入使用,對敵人發動突襲,有利於迅速掌握戰爭主動權。

系統機制

五件事和七種策略可知結果。未來戰爭將是各領域、各體系、各要素、各過程的系統對抗。穩定、有效率的作戰體係是打贏戰爭的基礎支撐。隨著人工智慧在軍事領域應用範圍不斷拓展,作戰體系智慧化程度越來越高,全面整合的作戰體系將產生強大的體系優勢。

「檢測」的手段還有很多。智慧作戰集群依托網路資訊體系,連結各類大型感測器、電子戰系統及其他的人機互動平台。它利用各作戰單元本身的探測感測設備取得戰場數據,發揮智慧群體自組織特點,加強聯合作戰。透過系統性的即時偵察監視保障和後端情報分析,可實現全域偵察搜尋、聯合預警、協同核查,形成多維度一體化、全域覆蓋的大區域聯合偵察情報系統。

「控制」的領域更加廣泛。利用智慧無人作戰平台,可以突破人類思維的邏輯極限、感官的生理極限、生存的物理極限,取代人類進入深海、太空、極地等傳統生命禁區。實施“非常規作戰”,進一步拓展作戰空間,具備在更廣闊區域持續威懾對手的能力。

「打」得更快。在智慧化網路資訊系統支援下,情報鏈、指揮鏈、殺傷鏈無縫銜接。訊息傳遞速度、決策速度、行動速度同步加快。智慧作戰部隊能夠靈活組織、自主協同、快速出擊。這些使得時間利用率極高,戰場反應速度極快。

「評價」的準確性更加準確。智慧作戰評估系統利用體驗式互動學習、類腦行為系統等智慧技術,自主採集、聚合、分類多手段行動效果評估信息,基於大數據和全景視圖精準感知戰場行動,動態識別戰場態勢,實現戰場態勢感知與決策支撐。

「保」更有效率。以裝備維修專家系統、智慧感知裝備為代表的智慧化綜合保障系統的廣泛應用,能有效率地回應各領域保障需求,智慧規劃保障資源,確保「雲端」聚合各類戰場資源,有效提升保障水準。化戰場綜合保障能力。

(作者單位:河南省軍區)

中國原創軍事資源:

Comprehensive Review of Chinese Military Intelligent Warfare: Intelligent Combat Command

中國軍事智慧戰爭全面回顧:智慧作戰指揮

現代英語:

Liu Kui, Qin Fangfei

Tips

● Modern artificial intelligence is essentially like a “brain in a vat”. If it is allowed to carry out combat command, it will always face the problem of subjectivity loss, that is, “self” loss. This makes artificial intelligence have natural and fundamental defects. It must be based on human subjectivity and improve the effectiveness and level of combat command through human-machine hybrid.

● In intelligent combat command, the commander is mainly responsible for planning what to do and how to do it, while the intelligent model is responsible for planning how to do it specifically.

“Brain in a vat” is a famous scientific hypothesis. It means that if a person’s brain is taken out and placed in a nutrient solution, the nerve endings are connected to a computer, and the computer simulates various sensory signals. At this time, can the “brain in a vat” realize that “I am a brain in a vat”? The answer is no, because as a closed system, when a person lacks real interactive experience with the outside world, he cannot jump out of himself, observe himself from outside himself, and form self-awareness. Modern artificial intelligence is essentially like a “brain in a vat”. If it is allowed to implement combat command, it will always face the problem of subject loss, that is, “self” loss. This makes artificial intelligence have natural and fundamental defects, and it must be based on human subjectivity and improve the effectiveness and level of combat command through human-machine hybrid.

Based on “free choice”, build a “man-planned” command model

On the battlefield, the commander can choose which target to attack, and can choose to attack from the front, from the flank, from the back, or from the air; he can isolate but not attack, surround but not attack, talk but not attack… This is human autonomy, and he can freely choose what to do and how to do it. But machines can’t do that. The combat plans they give can only be the plans implied in the intelligent model. As far as the specific plan given each time is concerned, it is also the most likely plan in the sense of probability statistics. This makes the plans generated by artificial intelligence tend to be “templated”, which is equivalent to a “replica machine”. It gives similar answers to the same questions and similar combat plans for the same combat scenarios.

Compared with artificial intelligence, different commanders design completely different combat plans for the same combat scenario; the same commander designs different combat plans when facing similar combat scenarios at different times. “Attack when the enemy is unprepared and take them by surprise”, the most effective plan may seem to be the most dangerous and impossible plan. For commanders, facing combat scenarios, there are infinite possibilities in an instant, while for artificial intelligence, there is only the best-looking certainty in an instant, lacking creativity and strategy, and it is easy for the opponent to predict it. Therefore, in intelligent combat command, based on human autonomy, the commander is responsible for planning and calculation, innovating tactics and tactics, and designing basic strategies, and the machine is responsible for converting basic strategies into executable and operational combat plans, forming a “man-planned” command mode. More importantly, autonomy is the unique mark of human existence as human being. This power of free decision-making cannot and is not allowed to be transferred to machines, making people become vassals of machines.

Based on “self-criticism”, build a command model of “people against machine”

Human growth and progress are usually based on the real self, focus on the ideal self, and criticize the historical self in a negation-negation style. Artificial intelligence has no “self” and has lost its self-critical ability. This makes it only able to solve problems within the original cognitive framework. The combat ideas, combat principles, and tactics of the model are given when the training is completed. If you want to update and improve your knowledge and ideas, you must continuously train the model from the outside. Mapped to a specific combat scenario, the intelligent model can only provide the commander with a pre-given problem solution. It is impossible to dynamically adjust and update it continuously during a battle.

People with a self-critical spirit can jump out of the command decision-making thinking process and review, evaluate, and criticize the command decision. In the continuous self-criticism, the combat plan is constantly adjusted, and even the original plan is overturned to form a new plan. In the command organization group, other commanders may also express different opinions on the combat plan. The commander adjusts and improves the original plan on the basis of fully absorbing these opinions, and realizes the dynamic evolution of the combat plan. Therefore, combat command is essentially a dynamic process of continuous forward exploration, not a static process given in advance by the combat plan. When the machine generates a combat plan, the commander cannot accept it blindly without thinking, but should act as an “opponent” or “fault finder”, reflect on and criticize the combat plan, and raise objections. Based on the human’s objections, the machine assists the commander to continuously adjust and optimize the combat plan, forming a command mode of “human opposing and machine correcting”.

Based on “self-awareness and initiative”, we build a command model of “people lead and machines follow”

Comrade Mao Zedong once said that what we call “conscious initiative” is the characteristic that distinguishes humans from objects. Any complex practical activity to transform the world starts with a rough and abstract idea. To transform abstract concepts into concrete actions, it is necessary to overcome various risks and challenges, give full play to conscious initiative, and take the initiative to set goals, make suggestions, and think of ways. Artificial intelligence without conscious initiative, when people ask it questions, it only gives the answers implied in the model, without caring whether the answer can be used, targeted, or practical. In other words, when an abstract and empty question is raised, it gives an abstract and empty answer. This is also why the current popular large model unified operation mode is “people ask questions and machines answer”, rather than “machines ask questions”.

Relying on conscious initiative, even the most abstract and empty problems can be transformed step by step into specific action plans and specific action practices. Therefore, in intelligent combat command, the commander is mainly responsible for planning what to do and what ideas to follow, while the intelligent model is responsible for planning how to do it specifically. If the combat mission is too abstract and general, the commander should first break down the problem into details, and then the intelligent model should solve the detailed problem. Under the guidance of the commander, the problem is gradually solved in stages and fields, and the combat goal is finally achieved, forming a command mode of “people lead and machines follow”. It’s like writing a paper. First you make an outline and then you start writing. People are responsible for making the outline, and the specific writing is done by the machine. If the first-level outline is not specific enough, people can break it down into a second-level or even a third-level outline.

Based on “self-responsibility”, build a command model of “human decision-making and machine calculation”

Modern advanced ship-borne air defense and anti-missile systems usually have four operational modes: manual, semi-automatic, standard automatic, and special automatic. Once the special automatic mode is activated, the system will no longer require human authorization to launch missiles. However, this mode is rarely activated in actual combat or training. The reason is that humans, as the responsible subject, must be responsible for all their actions, while the behavior of machines is the absence of the responsible subject. When it comes to holding people accountable for major mistakes, machines cannot be held accountable. Therefore, life-and-death matters must not be decided by a machine without autonomous responsibility. Moreover, modern artificial intelligence is a “black box”. The intelligent behavior it exhibits is inexplicable, and the reasons for right and wrong are unknown, making it impossible for people to easily hand over important decision-making power to machines.

Because AI lacks “autonomous responsibility”, all problems in its eyes are “domesticated problems”, that is, the consequences of such problems have nothing to do with the respondent, and the success or failure of the problem solving is irrelevant to the respondent. Corresponding to this are “wild problems”, that is, the consequences of such problems are closely related to the respondent, and the respondent must be involved. Therefore, in the eyes of AI without self, there are no “wild problems”, all are “domesticated problems”, and it stays out of any problem. Therefore, in intelligent combat command, machines cannot replace commanders in making judgments and decisions. It can provide commanders with key knowledge, identify battlefield targets, organize battlefield intelligence, analyze battlefield conditions, predict battlefield situations, and even form combat plans, formulate combat plans, and draft combat orders. However, the plans, plans, and orders it gives can only be used as drafts and references. As for whether to adopt them and to what extent, it is up to the commander to decide. In short, both parties make decisions together, with artificial intelligence responsible for prediction and humans responsible for judgment, forming a command mode of “human decision-making and machine calculation”.

現代國語:

從「缸中之腦」看智慧化作戰指揮

■劉 奎 秦芳菲

要點提示

●現代人工智慧,本質上就如同“缸中之腦”,如果讓它實施作戰指揮,始終會面臨主體缺失即“自我”缺失的問題。這使得人工智慧存在天然的、根本的缺陷,必須基於人的主體性,透過人機混合來提升作戰指揮效能和水平

●智能化作戰指揮中,指揮員主要負責規劃做什麼、依什麼思路做,智能模型則負責規劃具體怎麼做

「缸中之腦」是一項著名科學假設。意思是,假如人的大腦被取出放在營養液中,神經末梢接上計算機,由計算機模擬出各種感知信號。這時候,「缸中之腦」能不能意識到「我是缸中之腦」?答案是不能,因為人作為一個封閉的系統,當與外界缺乏真實的互動體驗時,人是無法跳出自身、從自身之外觀察自身並形成自我意識的。而現代人工智慧,本質上就如同“缸中之腦”,如果讓它實施作戰指揮,始終會面臨主體缺失即“自我”缺失的問題。這使得人工智慧存在天然的、根本的缺陷,必須基於人的主體性,透過人機混合來提升作戰指揮效能和水準。

基於“自由選擇”,建構“人謀機劃”的指揮模式

戰場上,指揮員可以選擇打哪一個目標,可以選擇從正面打、從翼側打、從背後打、從空中打;可以隔而不打、圍而不打、談而不打……這就是人的自主性,可以自由選擇做什麼、怎麼做。但機器不行,它給出的作戰方案,只能是智慧模型中蘊含的方案。就每次給出的特定方案而言,也是機率統計意義上可能性最大的方案。這使得人工智慧生成的方案呈現“模板化”傾向,相當於一個“復刻機”,同樣的問題,它給出的是相似的回答,同樣的作戰場景,它給出的就是相似的作戰方案。

與人工智慧相比,同樣的作戰場景,不同的指揮員設計的作戰方案完全不同;同一指揮員在不同的時間面對相似的作戰場景,設計的作戰方案也不相同。 “攻其無備,出其不意”,最有效的方案很可能看上去是最危險、最不可能的方案。對於指揮員,面對作戰場景,一瞬間有無限可能,而對於人工智慧,一瞬間卻只有看上去最好的確定,缺乏創意、缺少謀略,很容易為對方所預料。所以,在智慧化作戰指揮中,要基於人的自主性,由指揮員負責籌謀算計、創新戰法打法、設計基本策略,由機器負責將基本策略轉化為可執行可操作的作戰方案,形成「人謀機劃」的指揮模式。更重要的是,自主性是人作為人而存在的獨特標志,這種自由作決定的權力不可能也不允許讓渡給機器,使人淪為機器的附庸。

基於“自我批判”,建構“人反機正”的指揮模式

人類的成長進步,通常是立足現實自我,著眼理想自我,對歷史自我進行否定之否定式的批判。人工智慧沒有“自我”,同時也喪失了自我批判能力。這使得它只能停留在原有認知框架內解決問題,模型擁有的作戰思想、作戰原則、戰法打法,是在訓練完成時所給予的。如果想獲得知識和想法的更新提升,就必須從外部對模型進行持續訓練。映射到特定作戰場景,智慧模型給指揮員提供的只能是事先給定的問題解決方案,要想在一次作戰中不斷地動態調整更新是做不到的。

具有自我批判精神的人類,可以跳脫指揮決策思考過程,對指揮決策進行審視、評價、批判。在持續地自我批判中不斷對作戰方案進行調整,甚至推翻原有方案,形成新的方案。在指揮機構群體中,其他指揮人員也可能對作戰方案提出不同意見,指揮員在充分吸納這些意見的基礎上,調整改進原有方案,實現作戰方案的動態進化。所以,作戰指揮本質上是一個不斷向前探索的動態過程,不是作戰方案事先給定的靜態過程。當機器生成作戰方案時,指揮員不能不加思考地盲目接受,而應充當“反對者”“找茬人”,對作戰方案展開反思批判,提出反對意見,機器根據人的反對意見,輔助指揮員不斷調整、優化作戰方案,形成「人反機正」的指揮模式。

基於“自覺能動”,建立“人引機隨”的指揮模式

毛澤東同志說過,我們名之曰“自覺的能動性”,是人之所以區別於物的特點。任何一項改造世界的複雜實踐活動,都是從粗糙的、抽象的想法開始的,要將抽象觀念轉化為具體行動,需要克服各種風險和挑戰,充分發揮自覺能動性,主動定目標、出主意、想辦法。沒有自覺能動性的人工智慧,人們向它提出問題,它給出的只是模型中蘊含的答案,而不會管這個答案能不能用、有沒有針對性、可不可以實際操作,即提出抽象、空洞的問題,它給出的就是抽象、空洞的回答。這也是為什麼時下流行的大模型統一的運行模式是“人問機答”,而不是“機器提出問題”。

依賴自覺能動性,再抽象、空洞的問題都能由人一步一步轉化為具體的行動方案、具體的行動實踐。因此,在智慧化作戰指揮中,指揮員主要負責規劃做什麼、依什麼思路做,智慧模型則負責規劃具體怎麼做。若作戰任務太過抽象籠統,應先由指揮員對問題進行分解細化,再由智慧模型對細化後的問題進行解算。在指揮引導下,分階段、分領域逐步解決問題,最終達成作戰目標,形成「人引機隨」的指揮模式。這就像寫一篇論文,先列出提綱,再進行寫作,列提綱由人負責,具體寫作由機器完成,如果感覺一級綱目不夠具體,可由人細化為二級乃至三級綱目。

基於“自主負責”,建立“人斷機算”的指揮模式

現代先進的艦載防空反導系統,通常有手動、半自動、標準自動、特殊自動四種作戰模式,一旦啟用特殊自動模式,系統發射導彈將不再需要人的授權幹預。但該模式無論在實戰還是在訓練中都很少啟用。究其原因,人作為責任主體要對自己的所有行為負責,而機器行為背後卻是責任主體的缺失,當要為重大失誤追責時,機器是無法負責的。所以,生死攸關的大事決不能讓一個沒有自主責任的機器決定。況且,現代人工智慧是一個“黑箱”,它所展現的智能行為具有不可解釋性,對與錯的原因無從知曉,讓人無法輕易將重大決定權完全交給機器。

由於人工智慧缺乏“自主責任”,會使它眼中的問題全是“馴化問題”,也就是該類問題產生的後果與回答者沒有關系,問題解決的成功也罷、失敗也罷,對回答者來說無所謂。與之相應的是“野生問題”,也就是該類問題產生的後果與回答者息息相關,回答者必須置身其中。所以,在缺失自我的人工智慧眼中沒有“野生問題”,都是“馴化問題”,它對任何問題都置身事外。因此,在智慧化作戰指揮中,機器不能取代指揮員做出判斷和決策。它可以為指揮員提供關鍵知識、識別戰場目標、整編戰場情報、分析戰場情況、預測戰場態勢,甚至可以形成作戰方案、制定作戰計劃、擬製作戰命令,但它給出的方案計劃命令,只能作為草稿和參考,至於採不採用、在多大程度上採用,還得指揮員說了算。簡單來說,就是雙方共同做出決策,人工智慧負責預測,人負責判斷,形成「人斷機算」的指揮模式。

中國原創軍事資源:http://www.81.cn/yw_208727/16361814.html

Chinese Weaponization of Digitalization, Networking, Intelligence, Grasping the Focus New Chinese Generation of Information Technology

數位化、網路化、智慧化的中國武器化,抓住中國新一代資訊科技的焦點

現代英語:

Digitalization, networking, and intelligence are the prominent features of the new round of scientific and technological revolution, and are also the core of the new generation of information technology. Digitalization lays the foundation for social informatization, and its development trend is the comprehensive dataization of society. Dataization emphasizes the collection, aggregation, analysis and application of data. Networking provides a physical carrier for information dissemination, and its development trend is the widespread adoption of information-physical systems (CPS). Information-physical systems will not only give birth to new industries, but will even reshape the existing industrial layout. Intelligence reflects the level and level of information application, and its development trend is the new generation of artificial intelligence. At present, the upsurge of the new generation of artificial intelligence has arrived.

  In his important speech at the 2018 General Assembly of Academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering, Comrade Xi Jinping pointed out: “The world is entering a period of economic development dominated by the information industry. We must seize the opportunity of the integrated development of digitalization, networking, and intelligence, and use informatization and intelligence as leverage to cultivate new momentum.” This important statement is an accurate grasp of the dominant role and development trend of information technology in today’s world, and an important deployment for using information technology to promote national innovation and development.

  Human society, the physical world, and information space constitute the three elements of today’s world. The connection and interaction between these three worlds determine the characteristics and degree of social informatization. The basic way to perceive human society and the physical world is digitization, the basic way to connect human society and the physical world (through information space) is networking, and the way information space acts on the physical world and human society is intelligence. Digitalization, networking, and intelligence are the prominent features of the new round of scientific and technological revolution, and are also the focus of the new generation of information technology. Digitalization lays the foundation for social informatization, and its development trend is the comprehensive dataization of society; networking provides a physical carrier for information dissemination, and its development trend is the widespread adoption of information-physical systems (CPS); intelligence reflects the level and level of information application, and its development trend is the new generation of artificial intelligence.

  Digitalization: From computerization to dataization

  Digitalization refers to the technical approach of storing, transmitting, processing, handling and applying information carriers (text, pictures, images, signals, etc.) in digital coding form (usually binary). Digitalization itself refers to the way of representing and processing information, but in essence it emphasizes the computerization and automation of information application. In addition to digitalization, dataization (data is an information carrier in coded form, and all data is digital) emphasizes the collection, aggregation, analysis and application of data, and strengthens the production factors and productivity functions of data. Digitalization is developing from computerization to dataization, which is one of the most important trends in the current social informatization.

  The core connotation of dataization is the deep understanding and deep use of big data generated by the integration of information technology revolution and economic and social activities. Big data is a fragmentary record of social economy, real world, management decision-making, etc., containing fragmented information. With the breakthrough of analytical technology and computing technology, it is possible to interpret this fragmented information, which makes big data a new high-tech, a new scientific research paradigm, and a new way of decision-making. Big data has profoundly changed the way people think and live and work, bringing unprecedented opportunities to management innovation, industrial development, scientific discovery and other fields.

  The value generation of big data has its inherent laws (obeying the big data principle). Only by deeply understanding and mastering these laws can we improve the awareness and ability to consciously and scientifically use big data (big data thinking). The value of big data is mainly realized through big data technology. Big data technology is an extension and development of statistical methods, computer technology, and artificial intelligence technology. It is a developing technology. The current hot directions include: blockchain technology, interoperability technology, storage and management technology of integrated storage and computing, big data operating system, big data programming language and execution environment, big data foundation and core algorithm, big data machine learning technology, big data intelligent technology, visualization and human-computer interaction analysis technology, authenticity judgment and security technology, etc. The development of big data technology depends on the solution of some major basic problems, including: the statistical basis and computational theoretical basis of big data, the hardware and software basis and computational methods of big data computing, and the authenticity judgment of big data inference.

  Implementing the national big data strategy is an important way to promote the digital revolution. Since my country proposed the implementation of the national big data strategy in 2015, the pattern of rapid development of big data in my country has been initially formed, but there are also some problems that need to be solved: data openness and sharing are lagging, and the dividends of data resources have not been fully released; the profit model of enterprises is unstable, and the integrity of the industrial chain is insufficient; core technologies have not yet made major breakthroughs, and the technical level of related applications is not high; there are still loopholes in security management and privacy protection, and the construction of relevant systems is still not perfect; etc. At present, effective measures should be taken to solve the bottleneck problems that restrict the development of big data in my country.

  Networking: From the Internet to Cyber-Physical Systems

  As an information-based public infrastructure, the Internet has become the main way for people to obtain, exchange and consume information. However, the Internet only focuses on the interconnection between people and the resulting interconnection between services.

  The Internet of Things is a natural extension and expansion of the Internet. It connects various objects to the Internet through information technology, helping people obtain relevant information about the objects they need. The Internet of Things uses information collection equipment such as radio frequency identification, sensors, infrared sensors, video surveillance, global positioning systems, laser scanners, etc., and connects objects to the Internet through wireless sensor networks and wireless communication networks, so as to achieve real-time information exchange and communication between objects and between people and objects, so as to achieve the purpose of intelligent identification, positioning, tracking, monitoring and management. The Internet realizes the interconnection between people and services, while the Internet of Things realizes the cross-connection between people, objects and services. The core technologies of the Internet of Things include: sensor technology, wireless transmission technology, massive data analysis and processing technology, upper-level business solutions, security technology, etc. The development of the Internet of Things will go through a relatively long period, but it may take the lead in achieving breakthroughs in applications in specific fields. Internet of Vehicles, Industrial Internet, unmanned systems, smart homes, etc. are all areas where the Internet of Things is currently showing its prowess.

  The Internet of Things mainly solves the problem of people’s perception of the physical world, while to solve the problem of manipulating physical objects, it is necessary to further develop the cyber-physical system (CPS). The cyber-physical system is a multi-dimensional complex system that integrates computing, networking and physical environment. It realizes real-time perception, dynamic control and information services of large engineering systems through the organic integration and deep collaboration of 3C (Computer, Communication, Control) technologies. Through the human-computer interaction interface, the cyber-physical system realizes the interaction between the computing process and the physical process, and uses the networked space to control a physical entity in a remote, reliable, real-time, secure and collaborative manner. In essence, the cyber-physical system is a network with control attributes.

  Unlike public infrastructure that provides information interaction and application, the focus of the development of cyber-physical systems is on the research and development of networked physical equipment systems that deeply integrate perception, computing, communication and control capabilities. From an industrial perspective, cyber-physical systems cover a range of applications from smart home networks to industrial control systems and even intelligent transportation systems, which are national and even world-class applications. More importantly, this coverage is not just about simply connecting existing devices together, but will give rise to a large number of devices with computing, communication, control, collaboration and autonomous capabilities. The next generation of industry will be built on cyber-physical systems. With the development and popularization of cyber-physical system technology, physical devices that use computers and networks to achieve functional expansion will be ubiquitous, and will promote the upgrading of industrial products and technologies, greatly improving the competitiveness of major industrial fields such as automobiles, aerospace, national defense, industrial automation, health and medical equipment, and major infrastructure. Cyber-physical systems will not only give birth to new industries, but will even reshape the existing industrial layout.

  Intelligence: From Expert Systems to Meta-Learning

  Intelligence reflects the quality attributes of information products. When we say that an information product is intelligent, we usually mean that the product can accomplish things that only intelligent people can accomplish, or has reached a level that only humans can achieve. Intelligence generally includes perception, memory and thinking, learning and adaptive, behavioral decision-making, etc. Therefore, intelligence can also be generally defined as: enabling an object to have sensitive and accurate perception functions, correct thinking and judgment functions, adaptive learning functions, and effective execution functions.

  Intelligence is the eternal pursuit of the development of information technology, and the main way to achieve this pursuit is to develop artificial intelligence technology. In the more than 60 years since the birth of artificial intelligence technology, although it has experienced three ups and two downs, it has still made great achievements. From 1959 to 1976, it was a stage based on artificial representation of knowledge and symbol processing, which produced expert systems with important application value in some fields; from 1976 to 2007, it was a stage based on statistical learning and knowledge self-representation, which produced various neural network systems; in recent years, research based on environmental adaptation, self-game, self-evolution, and self-learning is forming a new stage of artificial intelligence development – meta-learning or methodological learning stage, which constitutes a new generation of artificial intelligence. The new generation of artificial intelligence mainly includes big data intelligence, group intelligence, cross-media intelligence, human-machine hybrid enhanced intelligence, and brain-like intelligence.

  Deep learning is an outstanding representative of the new generation of artificial intelligence technology. Due to its performance that surpasses that of humans in many fields such as face recognition, machine translation, and chess competitions, deep learning has almost become synonymous with artificial intelligence today. However, deep learning has major challenges in terms of topological design, effect prediction, and mechanism explanation. There is no solid mathematical theory to support the solution of these three major problems. Solving these problems is the main focus of future research on deep learning. In addition, deep learning is a typical big data intelligence, and its applicability is based on the existence of a large number of training samples. Small sample learning will be the development trend of deep learning.

  Meta-learning is expected to become the next breakthrough in the development of artificial intelligence. Recently developed meta-learning methods such as learning to learn, learning to teach, learning to optimize, learning to search, and learning to reason, as well as the outstanding performance of “AlphaGo Zero” in Go, have demonstrated the attractive prospects of such new technologies. However, meta-learning research is only just beginning, and its development still faces a series of challenges.

  The new generation of artificial intelligence is already here, and the foreseeable development trend is based on big data, centered on model and algorithm innovation, and supported by powerful computing power. The breakthrough of the new generation of artificial intelligence technology depends on the comprehensive development of other types of information technology, as well as the substantial progress and development of brain science and cognitive science. (Xu Zongben, academician of the Chinese Academy of Sciences and professor of Xi’an Jiaotong University)

現代國語:

數位化、網路化、智慧化是新一輪科技革命的突出特徵,也是新一代資訊科技的核心。數位化為社會資訊化奠定基礎,其發展趨勢是社會的全面數據化。資料化強調對資料的收集、聚合、分析與應用。網路化為資訊傳播提供實體載體,其發展趨勢是資訊物理系統(CPS)的廣泛採用。資訊物理系統不僅會催生出新的工業,甚至會重塑現有產業佈局。智慧化體現資訊應用的層次與水平,其發展趨勢為新一代人工智慧。目前,新一代人工智慧的熱潮已經來臨。

習近平同志在2018年兩院院士大會上的重要演講指出:「世界正進入以資訊產業為主導的經濟發展時期。我們要把握數位化、網路化、智慧化融合發展的契機,以資訊化、智慧化為槓桿培育新動能。

人類社會、物理世界、資訊空間構成了當今世界的三元。這三元世界之間的關聯與交互,決定了社會資訊化的特徵與程度。感知人類社會和物理世界的基本方式是數位化,連結人類社會與物理世界(透過資訊空間)的基本方式是網路化,資訊空間作用於物理世界與人類社會的方式是智慧化。數位化、網路化、智慧化是新一輪科技革命的突出特徵,也是新一代資訊科技的聚焦點。數位化為社會資訊化奠定基礎,其發展趨勢是社會的全面資料化;網路化為資訊傳播提供物理載體,其發展趨勢是資訊物理系統(CPS)的廣泛採用;智慧化體現資訊應用的層次與水平,其發展趨勢是新一代人工智慧。

數位化:從電腦化到資料化

數位化是指將資訊載體(文字、圖片、影像、訊號等)以數位編碼形式(通常是二進位)進行儲存、傳輸、加工、處理和應用的技術途徑。數位化本身指的是資訊表示方式與處理方式,但本質上強調的是資訊應用的電腦化和自動化。資料化(資料是以編碼形式存在的資訊載體,所有資料都是數位化的)除包括數位化外,更強調對資料的收集、聚合、分析與應用,強化資料的生產要素與生產力功能。數位化正從電腦化朝向資料化發展,這是當前社會資訊化最重要的趨勢之一。

資料化的核心內涵是對資訊科技革命與經濟社會活動交融生成的大數據的深刻認識與深層利用。大數據是社會經濟、現實世界、管理決策等的片段記錄,蘊含著片段化資訊。隨著分析技術與運算技術的突破,解讀這些片段化資訊成為可能,這使得大數據成為一項新的高新技術、一類新的科學研究範式、一種新的決策方式。大數據深刻改變了人類的思考方式和生產生活方式,為管理創新、產業發展、科學發現等多個領域帶來前所未有的機會。

大數據的價值生成有其內在規律(服從大數據原理)。只有深刻認識並掌握這些規律,才能提高自覺運用、科學運用大數據的意識與能力(大數據思維)。大數據的價值主要透過大數據技術來實現。大數據技術是統計學方法、電腦技術、人工智慧技術的延伸與發展,是正在發展中的技術,目前的熱點方向包括:區塊鏈技術、互通技術、存算一體化儲存與管理技術、大數據作業系統、大數據程式語言與執行環境、大數據基礎與核心演算法、大數據機器學習技術、大數據智慧技術、視覺化與人機互動分析技術、真偽判定與安全技術等。大數據技術的發展依賴一些重大基礎問題的解決,這些重大基礎問題包括:大數據的統計基礎與計算理論基礎、大數據計算的軟硬體基礎與計算方法、大數據推斷的真偽性判定等。

實施國家大數據戰略是推動資料化革命的重要途徑。自2015年我國提出實施國家大數據戰略以來,我國大數據快速發展的格局已初步形成,但也存在一些亟待解決的問題:數據開放共享滯後,數據資源紅利仍未得到充分釋放;企業贏利模式不穩定,產業鏈完整性不足;核心技術尚未取得重大突破,相關應用的技術水準不高;安全管理與隱私保護還存在漏洞,相關制度建設仍不夠完善;等等。目前,應採取有效措施解決制約我國大數據發展的瓶頸問題。

網路化:從網際網路到資訊物理系統

作為資訊化的公共基礎設施,網路已成為人們獲取資訊、交換資訊、消費資訊的主要方式。但是,網路關注的只是人與人之間的互聯互通以及由此帶來的服務與服務的互聯。

物聯網是互聯網的自然延伸和拓展,它透過資訊科技將各種物體與網路相連,幫助人們獲取所需物體的相關資訊。物聯網透過使用射頻識別、感測器、紅外線感應器、視訊監控、全球定位系統、雷射掃描器等資訊擷取設備,透過無線感測網路、無線通訊網路把物體與網路連接起來,實現物與物、人與物之間的即時資訊交換和通信,以達到智慧化識別、定位、追蹤、監控和管理的目的。互聯網實現了人與人、服務與服務之間的互聯, 而物聯網實現了人、物、服務之間的交叉互聯。物聯網的核心技術包括:感測器技術、無線傳輸技術、大量資料分析處理技術、上層業務解決方案、安全技術等。物聯網的發展將經歷相對漫長的時期,但可能會在特定領域的應用中率先取得突破,車聯網、工業互聯網、無人系統、智慧家庭等都是當前物聯網大顯身手的領域。

物聯網主要解決人對物理世界的感知問題,而要解決對物理對象的操控問題則必須進一步發展資訊物理系統(CPS)。資訊物理系統是一個綜合運算、網路和物理環境的多維複雜系統,它透過3C(Computer、Communication、Control)技術的有機融合與深度協作,實現對大型工程系統的即時感知、動態控制和資訊服務。透過人機交互接口,資訊物理系統實現計算進程與實體進程的交互,利用網路化空間以遠端、可靠、即時、安全、協作的方式操控一個實體實體。從本質上來說,資訊物理系統是一個具有控制屬性的網路。

不同於提供資訊互動與應用的公用基礎設施,資訊物理系統發展的聚焦點在於研發深度融合感知、運算、通訊與控制能力的網路化實體設備系統。從產業角度來看,資訊物理系統的涵蓋範圍小到智慧家庭網路、大到工業控制系統乃至智慧交通系統等國家級甚至世界級的應用。更重要的是,這種涵蓋並不僅僅是將現有的設備簡單地連在一起,而是會催生出眾多具有計算、通訊、控制、協同和自治性能的設備,下一代工業將建立在在資訊物理系統之上。隨著資訊物理系統技術的發展和普及,使用電腦和網路實現功能擴展的實體設備將無所不在,並推動工業產品和技術的升級換代,大大提高汽車、航空航太、國防、工業自動化、健康醫療設備、重大基礎設施等主要工業領域的競爭力。資訊物理系統不僅會催生出新的工業,甚至會重塑現有產業佈局。

智能化:從專家系統到元學習

智能化反映資訊產品的品質屬性。我們說一個資訊產品是智慧的,通常是指這個產品能完成有智慧的人才能完成的事情,或是已經達到人類才能達到的程度。智能一般包括知覺能力、記憶與思考能力、學習與適應力、行為決策能力等。所以,智能化通常也可定義為:使對象具備靈敏準確的感知功能、正確的思考與判斷功能、自適應的學習功能、行之有效的執行功能等。

智能化是資訊科技發展的永恆追求,實現這項追求的主要途徑是發展人工智慧技術。人工智慧技術誕生60多年來,雖歷經三起兩落,但還是取得了巨大成就。 1959—1976年是基於人工表示知識和符號處理的階段,產生了在一些領域具有重要應用價值的專家系統;1976—2007年是基於統計學習和知識自表示的階段,產生了各種各樣的神經網路系統;近幾年開始的基於環境自適應、自博弈、自進化、自學習的研究,正在形成一個人工智慧發展的新階段——元學習或方法論學習階段,這構成新一代人工智慧。新一代人工智慧主要包括大數據智慧、群體智慧、跨媒體智慧、人機混合增強智慧和類腦智慧等。

深度學習是新一代人工智慧技術的卓越代表。由於在人臉辨識、機器翻譯、棋類競賽等眾多領域超越人類的表現,深度學習在今天幾乎已成為人工智慧的代名詞。然而,深度學習拓樸設計難、效果預期難、機理解釋難是重大挑戰,還沒有一套堅實的數學理論來支持解決這三大難題。解決這些難題是深度學習未來研究的主要關注點。此外,深度學習是典型的大數據智能,它的可應用性是以存在大量訓練樣本為基礎的。小樣本學習將是深度學習的發展趨勢。

元學習有望成為人工智慧發展的下一個突破口。學會學習、學會教學、學會優化、學會搜尋、學會推理等新近發展的元學習方法以及「AlphaGo Zero」在圍棋方面的出色表現,展現了這類新技術的誘人前景。然而,元學習研究僅是開始,其發展還面臨一系列挑戰。

新一代人工智慧的熱潮已經來臨,可以預見的發展趨勢是以大數據為基礎、以模型與演算法創新為核心、以強大的運算能力為支撐。新一代人工智慧技術的突破依賴其他各類資訊技術的綜合發展,也依賴腦科學與認知科學的實質進步與發展。 (中國科學院院士、西安交通大學教授 徐宗本)

中國原創軍事資源:https://www.cac.gov.cn/2019-03/01/c_1124178478.htm

China’s Position Paper : Regulating Military Applications of Artificial Intelligence

中國的立場文件:規範人工智慧的軍事應用

現代英語:

The rapid development and widespread application of artificial intelligence technology are profoundly changing human production and lifestyles, bringing huge opportunities to the world while also bringing unpredictable security challenges. It is particularly noteworthy that the military application of artificial intelligence technology may have far-reaching impacts and potential risks in terms of strategic security, governance rules, and moral ethics.

AI security governance is a common issue facing mankind. With the widespread application of AI technology in various fields, all parties are generally concerned about the risks of AI military applications and even weaponization.

Against the backdrop of diverse challenges facing world peace and development, all countries should uphold a common, comprehensive, cooperative and sustainable global security concept and, through dialogue and cooperation, seek consensus on how to regulate the military applications of AI and build an effective governance mechanism to prevent the military applications of AI from causing significant damage or even disasters to humanity.

Strengthening the regulation of the military application of artificial intelligence and preventing and controlling the risks that may arise will help enhance mutual trust among countries, maintain global strategic stability, prevent an arms race, alleviate humanitarian concerns, and help build an inclusive and constructive security partnership and practice the concept of building a community with a shared future for mankind in the field of artificial intelligence.

We welcome all parties including governments, international organizations, technology companies, research institutes and universities, non-governmental organizations and individual citizens to work together to promote the safe governance of artificial intelligence based on the principle of extensive consultation, joint construction and sharing.

To this end, we call for:

– In terms of strategic security, all countries, especially major powers, should develop and use artificial intelligence technology in the military field with a prudent and responsible attitude, not seek absolute military advantage, and prevent exacerbating strategic misjudgments, undermining strategic mutual trust, triggering escalation of conflicts, and damaging global strategic balance and stability.

– In terms of military policy, while developing advanced weapons and equipment and improving legitimate national defense capabilities, countries should bear in mind that the military application of artificial intelligence should not become a tool for waging war and pursuing hegemony, and oppose the use of the advantages of artificial intelligence technology to endanger the sovereignty and territorial security of other countries.

– In terms of legal ethics, countries should develop, deploy and use relevant weapon systems in accordance with the common values ​​of mankind, adhere to the people-oriented principle, uphold the principle of “intelligence for good”, and abide by national or regional ethical and moral standards. Countries should ensure that new weapons and their means of warfare comply with international humanitarian law and other applicable international law, strive to reduce collateral casualties, reduce human and property losses, and avoid the misuse of relevant weapon systems and the resulting indiscriminate killing and injury.

– In terms of technical security, countries should continuously improve the security, reliability and controllability of AI technology, enhance the security assessment and control capabilities of AI technology, ensure that relevant weapon systems are always under human control, and ensure that humans can terminate their operation at any time. The security of AI data must be guaranteed, and the militarized use of AI data should be restricted.

– In terms of R&D operations, countries should strengthen self-discipline in AI R&D activities, and implement necessary human-machine interactions throughout the weapon life cycle based on comprehensive consideration of the combat environment and weapon characteristics. Countries should always insist that humans are the ultimate responsible party, establish an AI accountability mechanism, and provide necessary training for operators.

– In terms of risk management, countries should strengthen supervision of the military application of artificial intelligence, especially implement hierarchical and classified management to avoid the use of immature technologies that may have serious negative consequences. Countries should strengthen the research and judgment of the potential risks of artificial intelligence, including taking necessary measures to reduce the risk of proliferation of military applications of artificial intelligence.

——In rule-making, countries should adhere to the principles of multilateralism, openness and inclusiveness. In order to track technological development trends and prevent potential security risks, countries should conduct policy dialogues, strengthen exchanges with international organizations, technology companies, technology communities, non-governmental organizations and other entities, enhance understanding and cooperation, and strive to jointly regulate the military application of artificial intelligence and establish an international mechanism with universal participation, and promote the formation of an artificial intelligence governance framework and standard specifications with broad consensus.

– In international cooperation, developed countries should help developing countries improve their governance level. Taking into account the dual-use nature of artificial intelligence technology, while strengthening supervision and governance, they should avoid drawing lines based on ideology and generalizing the concept of national security, eliminate artificially created technological barriers, and ensure that all countries fully enjoy the right to technological development and peaceful use.

現代國語:

人工智慧技術的快速發展及其廣泛應用,正深刻改變人類生產和生活方式,為世界帶來巨大機會的同時,也帶來難以預測的安全挑戰。特別值得關注的是,人工智慧技術的軍事應用,在戰略安全、治理規則、道德倫理等方面可能產生深遠影響和潛在風險。

人工智慧安全治理是人類面臨的共同課題。隨著人工智慧技術在各領域的廣泛應用,各方普遍對人工智慧軍事應用甚至武器化風險感到擔憂。

在世界和平與發展面臨多元挑戰的背景下,各國應秉持共同、綜合、合作、永續的全球安全觀,透過對話與合作,就如何規範人工智慧軍事應用尋求共識,建構有效的治理機制,避免人工智慧軍事應用為人類帶來重大損害甚至災難。

加強對人工智慧軍事應用的規範,預防和管控可能引發的風險,有利於增進國家間互信、維護全球戰略穩定、防止軍備競賽、緩解人道主義關切,有助於打造包容性和建設性的安全夥伴關係,在人工智慧領域實踐建構人類命運共同體理念。

我們歡迎各國政府、國際組織、技術企業、科研院校、民間機構和公民個人等各主體秉持共商共建共享的理念,協力共同促進人工智慧安全治理。

為此,我們呼籲:

——戰略安全上,各國尤其是大國應本著慎重負責的態度在軍事領域研發和使用人工智慧技術,不謀求絕對軍事優勢,防止加劇戰略誤判、破壞戰略互信、引發衝突升級、損害全球戰略平衡與穩定。

——在軍事政策上,各國在發展先進武器裝備、提高正當國防能力的同時,應銘記人工智慧的軍事應用不應成為發動戰爭和追求霸權的工具,反對利用人工智慧技術優勢危害他國主權和領土安全的行為。

——法律倫理上,各國研發、部署和使用相關武器系統應遵循人類共同價值觀,堅持以人為本,秉持「智能向善」的原則,遵守國家或地區倫理道德準則。各國應確保新武器及其作戰手段符合國際人道法和其他適用的國際法,努力減少附帶傷亡、降低人員財產損失,避免相關武器系統的誤用惡用,以及由此引發的濫殺。

——在技術安全上,各國應不斷提昇人工智慧技術的安全性、可靠性和可控性,增強對人工智慧技術的安全評估和管控能力,確保相關武器系統永遠處於人類控制之下,保障人類可隨時中止其運作。人工智慧資料的安全必須得到保證,應限制人工智慧資料的軍事化使用。

——研發作業上,各國應加強對人工智慧研發活動的自我約束,在綜合考慮作戰環境和武器特性的基礎上,在武器全生命週期實施必要的人機互動。各國應時常堅持人類是最終責任主體,建立人工智慧問責機制,對操作人員進行必要的訓練。

——風險管控上,各國應加強對人工智慧軍事應用的監管,特別是實施分級、分類管理,避免使用可能產生嚴重負面後果的不成熟技術。各國應加強對人工智慧潛在風險的研判,包括採取必要措施,降低人工智慧軍事應用的擴散風險。

——規則制定上,各國應堅持多邊主義、開放包容的原則。為追蹤科技發展趨勢,防範潛在安全風險,各國應進行政策對話,加強與國際組織、科技企業、技術社群、民間機構等各主體交流,增進理解與協作,致力於共同規範人工智慧軍事應用並建立普遍參與的國際機制,推動形成具有廣泛共識的人工智慧治理框架和標準規範。

——國際合作上,已開發國家應協助發展中國家提升治理水平,考慮到人工智慧技術的軍民兩用性質,在加強監管和治理的同時,避免採取以意識形態劃線、泛化國家安全概念的做法,消除人為製造的科技壁壘,確保各國充分享有技術發展與和平利用的權利。

中國原創軍事資源:https://www.mfa.gov.cn/web/wjb_673085/zzjg_673183/jks_674633/zclc_674645/rgzn/202206/t20220614_10702838.shtml

Xi Jinping’s Thought on Strengthening the Chinese Army丨On Building an Innovative People’s Army: Only Innovators Win

習近平強軍思想丨論建立創新人民軍隊:創新者勝

現代英語:

Only innovators win – on building an innovative people’s army

  1. Why is innovation the core competitiveness of an army?

The 19th CPC National Congress clearly proposed the epoch-making proposition of “building an innovative people’s army”, which is the first time in the history of the Party. From proposing to accelerate the construction of an innovative country to proposing to build an innovative people’s army, our Party has emphasized that innovation should be placed at the core of the overall national development and the overall military construction and development, highlighting the extreme importance and practical urgency of innovation for a strong country and a strong army. Innovation is the soul of a country’s development and progress, and it is also the soul of an army’s development and progress. To grasp innovation is to grasp development, and to plan for innovation is to plan for the future. President Xi Jinping stressed that innovation capability is the core competitiveness of an army, and that we must thoroughly implement the innovation-driven development strategy and increase the contribution of innovation to the growth of combat effectiveness.

The military field is the field with the most innovative vitality and the most need for innovative spirit. Marxism believes that war develops earlier than peace, and the military is in a leading position in many aspects of human activities. Advanced technologies are often first applied to the military field. At the same time, the military field is the field with the most intense competition and confrontation. There is always a life-and-death contest between the enemy and us, between attack and defense, spear and shield, and a war drama of wits and courage. If you are one step ahead of others in innovation, you can control others instead of being controlled by them. As Engels said, “Every great commander in the history of war who has created a new era by adopting new methods of warfare has either invented new material means himself, or has been the first to discover the correct method of applying new material means invented before him.” At the end of the 16th century, the British Navy applied new battleships and innovative naval tactics to defeat the Spanish “Invincible Fleet” in one fell swoop, ushering in an era of maritime hegemony; in the late 19th century and early 20th century, Germany applied the latest achievements of the Second Industrial Revolution to military construction and built the most densely populated railway network in Europe, greatly improving the military’s combat readiness and mobility. History has shown that only innovators can advance, become strong and win. Those who are conservative and complacent will miss precious opportunities and fall into strategic passivity.

Innovation capability is an accelerator for generating and improving combat effectiveness. The core of combat effectiveness is people. If people have strong innovation capability, they can “empower” various elements of combat effectiveness, thereby achieving the upgrade of combat effectiveness and forming the “optimal solution” to defeat the enemy. In the final analysis, the competition in war is the competition of innovation capability of both combatants, and the gap in combat capability is essentially the gap in innovation capability. In 1806, the Prussian army was defeated by the French army led by Napoleon in the Battle of Jena. Clausewitz, who participated in the battle, pointed out in summarizing the reasons for the Prussian army’s defeat that middle and senior officers rarely realized that the characteristics of war had undergone fundamental changes. “The Battle of Jena is not only an example of outdated style, but also an example of extreme lack of imagination caused by sticking to the old ways.” The lack of imagination reflects the shortcomings of innovation. If the innovation ability is improved, it will accelerate the formation of new driving forces for the development of combat effectiveness, maximize the vitality of various elements of combat effectiveness, and promote the geometric growth of combat effectiveness.

Our army has come to where it is today through innovation, and we will also rely on innovation to win the future. In the process of combining Marxist military theory, the practice of China’s revolutionary war and the construction of the people’s army, and the traditional Chinese military tactics, our party has relied on continuous innovation to gradually form a complete set of principles and systems for building and governing the army, created the strategy and tactics of the people’s war, and formed the unique advantages of our army. It can be said that innovation has been deeply integrated into the red blood of the people’s army and has become the most distinctive spiritual endowment of our army. In today’s era, a new round of scientific and technological revolution, industrial revolution, and military revolution are accelerating, providing us with a rare opportunity to catch up with the latecomers, and also putting forward higher requirements for our comprehensive implementation of the innovation-driven development strategy. In the past, the development of our military construction was mainly driven by investment factors, which was necessary under certain historical conditions. However, today, it is difficult to continue to rely on large-scale investment increases, which has limited effects and diminishing marginal utility. To keep up with the pace of world military development, break through the bottleneck constraints of military construction, and comprehensively create new development advantages, what is most needed is innovation, and the fundamental way out lies in innovation. We must start the new engine of innovation-driven development at full speed, make great efforts to grasp theoretical innovation, scientific and technological innovation, scientific management, talent gathering, and practical innovation, and establish a set of new military theories, organizational structures, equipment systems, strategies and tactics, and management models that are adapted to the requirements of informationized warfare and mission fulfillment, promote changes in the quality, efficiency, and driving force of our military construction and develop, truly accelerate, build high quality, and speed up the effective supply of advanced combat capabilities.

  1. Why should we vigorously promote the innovation of Marxist military theory?

In May 1938, the nationwide war of resistance had been going on for 10 months. Facing the massive attack of the Japanese army, the “national destruction theory” and “quick victory theory” were once very popular. Can China achieve the final victory? How can it achieve victory? How will the course of the war develop? These questions troubled people’s minds. At the critical juncture of the survival of the Chinese nation, Comrade Mao Zedong published the famous “On Protracted War”, which was like a ray of light, giving great encouragement and confidence to the anti-Japanese soldiers and civilians who were fighting hard. All problems of the hostility between the two armies depend on war to be solved. A strong army must be guided by scientific theory. President Xi pointed out that we should vigorously promote the innovation of Marxist military theory, accelerate the formation of a military theory system that is contemporary, leading and unique, and provide scientific theoretical support for the practice of strengthening the military.

Scientific military theory is combat effectiveness. Military theory is a rational understanding and knowledge system about war, the army and national defense. Scientific military theory reveals the laws of war, the laws of war guidance and the laws of army building, guides the construction and use of military forces, has a profound impact on the elements of combat effectiveness, and leads the development of military practice. After the end of World War I, British military theorist Fuller proposed the theory of mechanized warfare, but it was not taken seriously. In the early days of World War II, the German army swept across Europe because of the tank cluster and the “blitzkrieg” theory. Although the weapons and equipment of the British and French armies at that time were almost the same as those of the German army, due to the obsolete and rigid combat theories, the British and French coalition forces soon fell into passivity and could only retreat from Dunkirk, and France quickly fell. Looking back at the history of military development, theoretical innovation has played a significant leading role in practical innovation. Mahan’s “sea power” theory, Douhet’s “air supremacy” theory, Tukhachevsky’s “deep and deep operations” theory, Graham’s “high frontier” theory, etc., have all led the military trend, promoted military reforms, and changed the face of war. “Thoughts precede actions, just as lightning precedes thunder.” Advanced military theory is an ideological weapon that correctly guides war. Whoever is one step ahead in military theory innovation is more likely to seize the initiative to win.

The key to the continuous growth and development of the People’s Army is that it always adheres to the guidance of advanced military theory. One of the important reasons why our army can fight and win battles is that it wins in theory and strategy, learns war from war, and explores laws from practice. During the Jinggangshan struggle period, our party developed the strategy and tactics of guerrilla warfare based on the characteristics of the enemy’s strength and our weakness, and preserved and developed itself. During the War of Resistance Against Japanese Aggression , our party implemented the strategic policy of “basically guerrilla warfare, but not relaxing mobile warfare under favorable conditions”, dealt a heavy blow to the Japanese invaders, and strengthened and developed itself. During the Liberation War, our party did not care about the gains and losses of a city or a place, and exchanged space for time, and concentrated superior forces to fight a war of destruction, defeated the Kuomintang army, and ushered in the birth of New China. After Chiang Kai-shek retreated to Taiwan, he reflected on the military competition between the Kuomintang and the Communist Party for decades, saying that the reason why the Communist army was able to win the war was because it emphasized the distinction between the extraordinary and the orthodox, the virtual and the real, and the application of changes, and constantly promoted innovation. In long-term practice, our party has combined the basic principles of Marxism with the practice of China’s revolutionary war and the construction of the people’s army, created Marxist military theoretical achievements with Chinese characteristics, and formed Mao Zedong’s Military Thought , Deng Xiaoping’s Thought on Military Construction in the New Era, Jiang Zemin’s Thought on National Defense and Army Construction, Hu Jintao’s Thought on National Defense and Army Construction, and Xi Jinping’s Thought on Strengthening the Army, providing a scientific guide for winning the victory of China’s revolutionary war and promoting the modernization of national defense and the army.

Knowledge Links

Ten Military Principles

In December 1947, Comrade Mao Zedong put forward ten major military principles in his report “The Current Situation and Our Tasks”, the main contents of which are summarized as follows: (1) First attack the dispersed and isolated enemy, then attack the concentrated and powerful enemy. (2) First capture small cities, medium-sized cities and vast rural areas, then capture large cities. (3) The main goal is to destroy the enemy’s living forces, not to preserve or seize cities and places. ( 4) In every battle, concentrate an absolutely superior force to encircle the enemy on all sides, strive to completely destroy it and not let any escape. (5) Do not fight a battle without preparation or without confidence every battle, we should strive to be prepared and strive to be sure of victory based on the comparison of the enemy’s conditions and ours. (6) Carry forward the style of fighting bravely, fearing no sacrifice, fearing no fatigue, and engaging in continuous fighting. (7) Strive to destroy the enemy in the process of movement. At the same time, focus on positional attack tactics and seize the enemy’s strongholds and cities. (8) In the matter of siege, all enemy strongholds and cities with weak defenses must be seized resolutely. enemy strongholds and cities with moderate defenses and conditions that allow them to be seized must be seized immediately. All enemy strongholds and cities with strong defenses must be seized only when conditions are ripe. (9) Capture all the enemy’s weapons and most of the enemy’s personnel to replenish our own forces. (10) Make good use of the interval between two campaigns to rest and retrain the troops.

New military practice calls for new military theory. Theory comes from practice, and practice is the driving force for the development of theory. Military theory can only maintain strong vitality if it keeps up with the times and responds to practice. In recent years, emerging fields and battlefield space have been continuously expanded, high-tech has penetrated into the military field in many ways, the war form and combat methods have accelerated evolution, and new war and combat theories have emerged in an endless stream. The US military has proposed “network-centric warfare”, “global rapid strike”, and “all-domain warfare”, the Russian military has proposed “non-nuclear containment strategy” and “strategic air and space campaign”, and the Japanese Self-Defense Forces have proposed the “cross-domain defense” theory, etc., all of which are aimed at winning new military advantages through theoretical innovation. The rapid development of the new military revolution in the world and the in-depth advancement of our military strengthening and military rejuvenation practices have put forward urgent requirements for innovation in military theory and provided broad space. Our military construction and development are facing a large number of new situations and new problems, which urgently need to be answered theoretically. Whether it is innovation in military strategy, innovation in military science and technology, or innovation in other aspects of military, they are inseparable from theoretical guidance. It is imperative and urgent to accelerate the modernization of military theory. We must have a broader vision and a longer-term perspective, firmly grasp the issues of war and combat, promote innovation in military theory, and constantly open up new horizons for the development of contemporary Chinese Marxist military theory.

41. Why is science and technology the core combat capability?

In February 2018, a brand-new organization in the Chinese military, the Military Scientific Research Steering Committee of the Central Military Commission, was formally established. Together with the previously established Science and Technology Committee of the Central Military Commission, a new top-level structure for military scientific research work was established. The Academy of Military Sciences has been reorganized and reorganized. With the Academy of Military Sciences as the leader, the military and military scientific research institutions as the backbone, and the scientific research forces of colleges and troops as the auxiliary, our military’s new scientific research system is accelerating to take shape. This series of major measures marks a new step taken by our army on the road to strengthening the military through science and technology, and shows that our party’s understanding of the strategic position of science and technology in national defense and military construction has risen to a new height. President Xi profoundly pointed out that science and technology are the core combat effectiveness, and to promote the modernization of national defense and the military, we must activate the powerful engine of scientific and technological innovation.

Science and technology are the most active and revolutionary factors in military development. Marxism believes that science is a “powerful lever of history” and a “revolutionary force in the highest sense.” Scientific and technological progress not only profoundly changes human production and lifestyle, but also profoundly affects the direction of world military development, and fundamentally promotes the military development process in all aspects. Engels pointed out: “As soon as technological advances can be used for military purposes and have been used for military purposes, they immediately, almost forcibly, and often against the will of the commander, cause changes or even revolutions in the way of combat.” Looking at the world In the history of military development, the main technologies supporting military struggles include bronze smelting and iron casting in the cold weapon age, gunpowder and firearm manufacturing in the hot weapon age, internal combustion engines and electricity in the mechanization age, and computers and communications in the information age. The widespread application of science and technology in the military field will inevitably lead to profound changes in the shape of war and methods of combat. Every major scientific and technological innovation in history has initiated a new military revolution, and every military revolution has pushed military development into a new era.

Science and technology are an important basis for generating and improving combat effectiveness. The basic components of combat effectiveness are people, weapons and equipment, and the combination of people and weapons and equipment. Science and technology are not independent elements of combat effectiveness, but they are always integrated into and condensed into various elements of combat effectiveness in various ways and forms, greatly promoting the generation and improvement of combat effectiveness. From a human perspective, in the development chain of “physical fitness-skill-intelligence” of military personnel, scientific and technological quality increasingly constitutes the most important factor in their overall quality. Without high scientific and technological literacy and military skills, even weapons and equipment cannot be operated. No, let alone being able to fight and win wars. From the perspective of weapons and equipment, it is the physical manifestation of science and technology in the military field. Science and technology have become a “multiplier” for the combat effectiveness of weapons and equipment. From the perspective of the integration of people and weapons and equipment, science and technology have spawned new military theories and prompted the continuous adjustment and reform of the military system. They are the “catalyst” to achieve the optimal combination of people and weapons and equipment. Generally speaking, the development and progress of science and technology is the main force that promotes the demise of the elements of the old combat effectiveness system and the construction of new combat effectiveness system elements, greatly shortening the cycle of generating and improving combat effectiveness, and promoting the leap of new quality combat effectiveness.

Science and technology have an increasing impact on the outcome of modern wars. At present, science and technology are developing faster and faster, and global scientific and technological innovation is unprecedentedly active. Major powers regard seizing scientific and technological advantages as a strategic measure to seek military advantage. The military game between great powers is largely reflected in technological subversion and counter-subversion, raids and counter-raids, offsets and counter-offsets. Once some technologies achieve breakthroughs, their impact will be disruptive, and may even fundamentally change the shape and methods of warfare, and fundamentally change the traditional offensive and defensive pattern of war. We are in a period of historical convergence where the world’s scientific and technological revolution and military revolution are developing rapidly, and the cause of strengthening and rejuvenating the military is in-depth advancement. Technology has never had such a profound impact on the overall national security and military strategy as it does today, and has never had such a profound impact on the construction and development of our military as it does today. We must promote high-level scientific and technological self-reliance and self-reliance, give full play to the strategic supporting role of science and technology in our military construction, put national defense scientific and technological innovation in a more prominent position, adhere to the strategic basis of independent innovation, enhance scientific and technological awareness, innovation, and application capabilities, and strive to Seize the initiative in military development and the right to win future wars.

▶A big country like ours and an army like ours must take the initiative through independent innovation.

▶Real core and key technologies cannot be bought with money. Importing weapons and equipment is unreliable, and importing imitations will not go far.

▶Independent innovation must be fought for, and this battle must be won.

42. How to understand the promotion of a military management revolution centered on effectiveness?

In June 2020, with the approval of the Central Military Commission, the entire military held a strategic management training. This was the first high-level, large-scale training event organized by our military with strategic management as the theme. More than a month later, during the 22nd collective study session of the Political Bureau of the 19th CPC Central Committee, President Xi clearly pointed out that it is necessary to update management concepts, improve strategic literacy, improve systems and mechanisms, smooth strategic management links, and substantively advance military management revolution. Since the 18th National Congress of the Communist Party of China, the Party Central Committee and the Central Military Commission have placed the strengthening of military management in a strategic position, actively built a new military management system, and started a new process of revolution in our military management in the new era.

Whether the army can fight and win wars, management often plays a key role. No matter how good the theoretical guidance of an army is, no matter how good the weapons and equipment are, and no matter how many combatants there are, if the management is in a mess and all the elements cannot integrate and play a role, it will not be able to win the war, and it may even be impossible to win the war. Scientific and efficient management is of great significance for reducing military construction costs, improving military system operation efficiency, and enhancing combat effectiveness. During the Gulf War, the U.S. Department of Defense shipped about 40,000 containers to the frontline armies. Due to imprecise management and inaccurate support, many material categories and recipient information were unknown. More than 20,000 of them had to be reopened and counted until the end of the war. There are still more than 8,000 containers that have not been opened. Modern war practice has fully proved that as the military organizational structure becomes increasingly complex, professional division of labor becomes more refined, and military operations become more systematic, this requires us to pay more attention to the role of management in military operations and construction and improve the professionalization of military management. , refined and scientific level.

The purpose of the military management revolution is to improve the operational efficiency of military systems and the efficiency of the use of national defense resources. Military management is the overall and basic work of national defense and military construction. Its essence is to organically integrate all military units and elements to fundamentally improve the effectiveness of combat effectiveness. Extensive management is a prominent problem that has long restricted the development of our military’s construction. In particular, our military’s construction is at a critical stage of accelerating shifting gears and improving quality and efficiency. In addition, the construction management model has undergone great changes after the reform, and the promotion of efficiency-oriented The core military management revolution and improving the precision-oriented management system are the inevitable choices for strengthening the scientific management of the military. With efficiency as the core, all management practices are inherently required to adhere to quality first, efficiency first, and strive to increase the effective supply of combat effectiveness. To be precision-oriented means to achieve precise planning, precise planning, precise deployment, precise implementation, and precise inspection, and to apply the principle of precision throughout the entire process of all aspects of management. In advancing the reform of military policies and systems, our army has implemented fundamental changes in traditional management methods and proposed reform measures in strategic management, military expenditure management, organizational management, equipment management, material management, and troop education management. The purpose is to form a precise An efficient, comprehensively standardized, and rigidly constrained military management policy system will improve the operational efficiency of the military system, the effectiveness of the use of national defense resources, and the effectiveness of the construction and application of military forces.

Military management must tightly grasp the pivot of strategic management. As the highest-level management of national defense and military construction, strategic management is a macro-management activity that manages the overall situation, long-term management, and major events. It plans and designs the investment of military resources from the top level. Whether strategic management is scientific or not directly affects the quality and efficiency of national defense and military construction. Back then, we achieved “two bombs and one satellite” under very difficult circumstances. We spent much less money than foreign countries, but the efficiency was very high. The important reason was that we gave full play to our country’s institutional advantages and used systems engineering methods to organize In order to carry out this work, a unique strategic management mechanism was explored. Today’s acceleration of national defense and military modernization requires further strengthening of strategic management. A new strategic management system has been established, but the relevant systems and mechanisms are not yet complete. We must adhere to goal orientation, problem orientation, and result orientation, and further open up the strategic management link of “demand-planning-budget-execution-evaluation”. Among them, demand is the driving force, clarifying the direction and requirements of combat capabilities; planning is the leading role, determining construction goals and tasks and resource allocation; budget is the key, and is the “funding version” of the planning plan; execution is the focus, which is the implementation of construction projects and the allocation of resources. The application of input; evaluation is the support and the measurement of construction quality and efficiency. By improving the strategic management link, demand-driven planning and planning-led resource allocation will become rigid constraints on our military’s construction, forming a smooth and efficient strategic management closed loop to promote the high-quality development of our military’s construction.

現代國語:

唯創新者勝-關於建設創新型人民軍隊

39.為什麼說創新是軍隊的核心競爭力?

黨的十九大明確提出「建設創新人民軍隊」的劃時代命題,這在黨的歷史上還是第一次。從提出加速建設創新國家到提出建設創新型人民軍隊,我們黨強調要把創新置於國家發展全局和軍隊建設發展全局的核心位置,凸顯了創新的極端重要性和現實意義。刻不容緩。創新是一個國家發展進步的靈魂,也是一支軍隊發展進步的靈魂。抓創新就是抓發展,謀創新就是謀未來。習近平主席強調,創新能力是軍隊的核心競爭力,必須深入實施創新驅動發展策略,提高創新對戰鬥力成長的貢獻。

軍事領域是最具創新活力、最需要創新精神的領域。馬克思主義認為,戰爭早於和平發展,軍隊在人類活動的許多方面處於主導地位。先進技術往往首先應用於軍事領域。同時,軍事領域又是競爭和對抗最激烈的領域。敵我之間、攻與守、矛與盾之間,始終存在著一場你死我活的較量,一場鬥智的戰爭大戲。如果你在創新上領先別人一步,你就能控制別人而不是被別人控制。正如恩格斯所說:「戰爭史上每一位採用新戰爭方法開創新時代的偉大統帥,要么是他自己發明了新的物質手段,要么是第一個發現了運用前人發明的新物質手段的正確方法。 16世紀末,英國海軍運用新型戰艦和創新海軍戰術,一舉擊敗西班牙“無敵艦隊”,開啟了海上霸權時代; 19世紀末20世紀初,德國將第二次工業革命的最新成果運用到軍事建設中,建造了歐洲人口最密集的鐵路網,大大提高了軍隊的戰備性和機動性。歷史證明,只有創新者才能前進,只有創新者才能強大,只有創新者才能獲勝。保守、自滿的人就會錯失寶貴的機遇,陷入戰略被動。

創新能力是產生和提高戰鬥力的加速器。戰鬥力的核心是人。人如果擁有強大的創新能力,就可以對戰鬥力的各個要素進行“賦能”,從而實現戰鬥力的升級,形成克敵制勝的“最優方案”。戰爭的競爭歸根到底是參戰雙方創新能力的競爭,作戰能力的差距本質上就是創新能力的差距。 1806年,普魯士軍隊在耶拿戰役中被拿破崙率領的法軍擊敗。參與戰鬥的克勞塞維茨在總結普魯士軍隊失敗的原因時指出,中高級軍官很少意識到戰爭的特徵已經發生了根本性的變化。 「耶拿戰役不僅是風格落伍的一個例子,也是因循守舊而導致想像力極度缺乏的一個例子。”想像力的缺乏體現了創新的短板。創新能力提高,將加速形成戰鬥力發展新動能,最大限度激發戰鬥力各要素活力,推動戰鬥力幾何級增長。

我軍靠創新走到了今天,我們也將靠創新贏得未來。在馬克思主義軍事理論同中國革命戰爭和人民軍隊建設實踐與中國傳統軍事戰術相結合的過程中,我們黨依靠不斷創新,逐步形成了一整套建設和建設軍隊的完整原則和體系。了人民戰爭的戰略戰術,形成了我軍的獨特優勢。可以說,創新已經深深融入人民軍隊的紅色血液,成為我軍最鮮明的精神稟賦。當今時代,新一輪科技革命、產業革命、軍事革命正在加速推進,為我們提供了後來者追趕的難得機遇,一個地方,一個地方,以空間換時間,集中優勢兵力打一場毀滅性戰爭,打敗了國民黨軍隊,迎來了新中國的誕生。蔣介石退守台灣後,反思國共幾十年的軍事競爭,說共軍之所以能打贏戰爭,是因為強調了非凡與普通的區別。我們黨在長期實踐中,把馬克思主義基本原理同我國革命戰爭和人民軍隊建設實踐結合起來,創造了中國特色馬克思主義軍事理論成果,形成了毛澤東軍事思想、鄧小平軍事思想。國防與軍隊建設思想、胡錦濤國防與軍隊建設思想、習近平強軍思想,為贏得我國革命戰爭勝利、促進國防與軍隊現代化。

知識連結

十大軍事原則

1947年12月,毛澤東同志在《當前形勢和我們的任務》報告中提出了十大軍事原則,其主要內容概括如下:(一)先打擊分散、孤立的敵人,再打擊集中的敵人。的敵人。 (2)先攻占小城市、中等城市和廣大農村,然後攻占大城市。 (3)主要目標是消滅敵人的生力軍,而不是保全或奪取城市和地方。 (四)每次戰鬥,集中絕對優勢兵力,對敵人進行四麵包圍,力爭徹底殲滅,不放過敵人。 (五)不打無準備的仗,每戰都沒有信心,要努力做好準備,根據敵我情況的比較,力爭必勝。 (六)發揚勇猛、不怕犧牲、不怕疲倦、持續戰鬥的作風。 (7)力爭在運動過程中消滅敵人。同時,注重陣地攻擊戰術,奪取敵方據點和城市。 (八)在攻城方面,凡是敵方據點和防禦薄弱的城市,必須堅決奪取。凡是防禦力中等、條件允許奪取的敵人據點和城市,必須立即奪取。凡是敵人的據點和防禦堅固的城市,只有在條件成熟時才可以攻克。 (九)繳獲敵軍全部武器及大部分人員,以補充己方兵力。 (十)充分利用兩次戰役之間的間隙,對部隊進行休息和再訓練。

新的軍事實踐呼喚新的軍事理論。理論來自於實踐,實踐是理論發展的動力。軍事理論只有與時俱進、回應實踐,才能維持旺盛的生命力。近年來,新興領域和戰場空間不斷拓展,高新技術多方式滲透到軍事領域,戰爭形態和作戰方式加速演變,新的戰爭和作戰理論層出不窮。美軍提出“網路中心戰”、“全球快速打擊”、“全局戰”,俄軍提出“非核遏制戰略”、“戰略空天戰役”,日本提出“戰略空天作戰”。防禦」理論等,都是為了透過理論創新贏得新的軍事優勢。世界新軍事革命快速發展和我軍強軍興軍實踐深入推進,對軍事理論創新提出了迫切要求,提供了廣闊空間。我軍建設發展面臨大量新情況、新問題,亟待從理論上予以解答。無論是軍事戰略創新、軍事科技創新,或是軍事其他方面的創新,都離不開理論指引。加速軍事理論現代化勢在必行。我們必須以更廣闊的視野和更長遠的眼光,牢牢掌握戰爭和戰鬥問題,推動軍事理論創新,不斷開闢當代中國馬克思主義軍事理論發展新天地。

41.為什麼說科學技術是核心戰鬥力?

2018年2月,中國軍隊中一個嶄新的機構-中央軍委軍事科學研究指導委員會正式成立,連同先前成立的中央軍委科學技術委員會,立起了軍事科研工作的全新頂層架構。軍事科學院重新調整組建,以軍事科學院為龍頭、軍兵種科研機構為骨幹、院校和部隊科研力量為輔助,我軍全新的科研體係正在加速形成。這一系列重大舉措,標志我軍在科技強軍道路上邁出了新步伐,表明我們黨對科學技術在國防和軍隊建設中戰略地位的認識上升到新高度。習主席深刻指出,科學技術是核心戰鬥力,推進國防和軍隊現代化必須把科技創新這個強大引擎發動起來。

科學技術是軍事發展中最活躍、最具革命性的因素。馬克思主義認為,科學是“歷史的強大的槓桿”,是“最高意義上的革命力量”。科技進步不僅深刻改變人類的生產生活方式,也深刻影響世界軍事發展走向,全方位根本性地推動軍事發展進程。恩格斯指出:「一旦技術上的進步可以用於軍事目的並且已經用於軍事目的,它們便立刻幾乎強制地,而且往往是違反指揮官的意志而引起作戰方式上的改變甚至變革。」縱觀世界軍事發展史,支撐軍事鬥爭的主要科技,冷兵器時代是青銅冶煉、鐵器鑄造,熱兵器時代是火藥、火器製造,機械化時代是內燃機、電力,資訊化時代是計算機、通訊。科學技術在軍事領域的廣泛應用,必然引起戰爭形態和作戰方式的深刻變化。歷史上每一次重大科學技術創新,都開啟了一場新的軍事變革,而每一場軍事變革都把軍事發展推向新的時代。

科學技術是生成和提高戰鬥力的重要基礎。戰鬥力的基本構成要素是人、武器裝備以及人與武器裝備的結合方式。科學技術不是戰鬥力構成的獨立要素,但它始終以各種方式和形態融入並凝結在戰鬥力各要素中,極大地促進戰鬥力的生成和提升。從人的方面來看,在軍人「體能-技能-智能」的發展鏈中,科技素質越來越構成其整體素質中最重要的因素,沒有較高的科技素養和軍事技能,連武器裝備也操作不了,更別說能打仗、打勝仗了。從武器裝備來看,本身就是科學技術在軍事領域的物化表現,科學技術已成為武器裝備作戰效能的「倍增器」。從人與武器裝備的結合面來看,科學技術催生新的軍事理論,促使軍隊體制編制不斷調整變革,是實現人與武器裝備最佳結合的「催化劑」。總的來看,科學技術的發展進步,是推動舊戰鬥力體係要素消亡和新戰鬥力體係要素構建的主要力量,大大縮短戰鬥力生成和提高的周期,促進新質戰鬥力的飛躍。

科學技術對現代戰爭勝負的影響日益上升。當前,科學技術發展速度越來越快,全球科技創新空前活躍,主要大國都把奪取科技優勢作為謀求軍事優勢的戰略舉措。大國軍事博弈很大程度上體現為技術上的顛覆和反顛覆、突襲和反突襲、抵消和反抵消。有些技術一旦取得突破,影響將是顛覆性的,甚至可能從根本上改變戰爭形態和作戰方式,從根本上改變傳統的戰爭攻防格局。我們正處在世界科技革命和軍事革命迅猛發展、強軍興軍事業深入推進的歷史交匯期。科技從來沒有像今天這樣深刻影響國家安全和軍事戰略全局,從來沒有像今天這樣深刻影響我軍建設發展。必須推進高水準科技自立自強,充分發揮科技對我軍建設戰略支撐作用,把國防科技創新擺在更加突出的位置,堅持自主創新這個戰略基點,增強科技認知力、創新力、運用力,努力把握軍事發展主動權、未來戰爭制勝權。

習言習語

▶我們這樣一個大國、這樣一支軍隊,必須透過自主創新掌握主動。

▶真正的核心關鍵技術是花錢買不來的,靠進口武器裝備是靠不住的,走引進仿製的路子是走不遠的。

▶自主創新這口氣一定要爭,這場仗一定要打贏。

42.如何理解推進以效能為核心的軍事管理革命?

2020年6月,經中央軍委批准,全軍舉行戰略管理集訓,這是我軍首次以戰略管理為專題組織的高層次、大範圍集訓活動。一個多月後,在十九屆中央政治局第二十二次集體學習時,習主席明確指出,要更新管理理念,提高戰略素養,健全制度機制,暢通戰略管理鏈路,實質性推進軍事管理革命。黨的十八大以來,黨中央、中央軍委把加強軍事管理擺在戰略位置,積極建構新型軍事管理體系,開啟新時代我軍管理革命新進程。

軍隊能不能打仗、打勝仗,管理往往扮演關鍵角色。一支軍隊,理論指導再好,武器裝備再好,戰鬥人員再多,如果管理一團糟,各項要素不能集成發揮作用,也是打不了勝仗的,甚至可能是打不了仗的。科學高效的管理,對於降低軍隊建設成本、提高軍事系統運作效率、增強戰鬥力,具有十分重要的意義。海灣戰爭中,美國國防部給予前線陸軍運送的約4萬個集裝箱,由於管理不精細、保障不精準,許多物資類別、收件資訊不明,只得將其中2萬多個重新打開清點,直到戰爭結束還有8000多個集裝箱沒有打開。現代戰爭實踐充分證明,隨著軍隊組織結構日益復雜,專業分工更加精細,軍事行動的系統性大大增強,這就要求我們更加註重發揮管理在軍隊作戰、建設中的作用,提高軍事管理的專業化、精進、科學化程度。

軍事管理革命的目的是提升軍事系統運作效能和國防資源使用效益。軍事管理是國防和軍隊建設的全局性、基礎性工作,其實質就是要把所有軍事單元和要素有機整合起來,從根本上提高戰鬥力的生成效能。管理粗放是長期制約我軍建設發展的一個突出問題,特別是我軍建設正處在換擋加速、提質增效的關鍵階段,加上改革後建設管理模式發生很大變化,推進以效能為核心的軍事管理革命,健全以精準為導向的管理體系,是加強軍隊科學管理的必然選擇。以效能為核心,內在要求一切管理實踐堅持品質第一、效益優先,著力增加戰鬥力有效供給。以精準為導向,就是要做到精準謀劃、精準規劃、精準部署、精準落實、精準檢驗,把精準原則貫穿管理各方面全過程。我軍在推進軍事政策制度改革中,對傳統管理方式實行根本性變革,從戰略管理、軍費管理、組織編制管理、裝備管理、物資管理、部隊教育管理等方面提出改革舉措,目的就是要形成精準高效率、全面規範、剛性約束的軍事管理政策制度,提升軍事系統運作效率、國防資源運用效益及軍事力量建設運用效能。

軍事管理必須緊緊扭轉戰略管理這個樞紐。戰略管理作為國防和軍隊建設最高層次的管理,是管全局、管長遠、管大事的宏觀管理活動,從頂層規劃和設計軍事資源的投向投量。戰略管理是否科學,直接影響國防和軍隊建設品質效益。當年我們在十分困難的情況下搞成了“兩彈一星”,花的錢比外國少得多,效率卻很高,很重要的原因是充分發揮我國的製度優勢,用系統工程的方法組織了這項工作,探索了一套獨具特色的策略管理機制。今天加速國防和軍隊現代化,需要進一步加強戰略管理。新的策略管理體制立起來了,但相關制度機制還不完善,必須堅持目標導向、問題導向、結果導向,進一步打通「需求-規劃-預算-執行-評估」的戰略管理連結。其中,需求是牽引,明確作戰能力指向和要求;規劃是主導,決定建設目標任務和資源配置;預算是關鍵,是規劃計劃的「經費版」;執行是重心,是建設項目的實施和對資源投入的運用;評估是支撐,是對建設品質效益的衡量。透過完善戰略管理鏈路,使需求牽引規劃、規劃主導資源配置成為我軍建設的剛性約束,形成順暢高效的戰略管理閉合迴路,推動我軍建設高質量發展。

中國原創軍事資源:http://www.81.cn/ll_208543/10189839.html?big=fan

http://www.81.cn/zt/2023nzt/qmsrxxgcxjpqjsx/xxwd/16244461.html

How Can Chinese Military Research Institutes Achieve “accelerated” Innovation in National Defense Science and Technology?

中國軍事科學研究院所如何實現國防科技創新「加速」?

現代英語:

At present, a new round of scientific and technological revolution, industrial revolution and military revolution is accelerating, and emerging fields such as space and the Internet will become the focus of future competition. The rapid development of science and technology, the ever-changing weapons and equipment and combat methods have put forward new requirements for military research institutes to conduct full-domain battlefield research.

Standing at the forefront of the times, how can military research institutes promote the implementation of the national defense science and technology innovation strategy and transform scientific research results into real combat effectiveness? How can we achieve the transition from “squatting to running” to “jumping” in scientific and technological innovation and achieve “acceleration” in scientific and technological innovation? Please read the news investigation brought by the PLA Daily reporter from the National Defense Engineering Research Institute of the Academy of Military Sciences.

Defense Science and Technology Innovation: Forging a Powerful Engine to Enhance National Defense Strength

■China National Defense News reporter Pan Di and special correspondent Zhao Jie

At present, a new round of scientific and technological revolution, industrial revolution and military revolution is accelerating, and emerging fields such as space and the Internet will become the focus of future competition. The rapid development of science and technology, the ever-changing weapons and equipment and combat methods have put forward new requirements for military research institutes to conduct full-domain battlefield research.

President Xi Jinping stressed the need to strengthen national defense science and technology innovation and vigorously improve the ability of independent innovation in national defense science and technology when attending the plenary meeting of the PLA and armed police delegation at the first session of the 13th National People’s Congress. Standing at the forefront of the times, how can military research institutes promote the implementation of national defense science and technology innovation strategies and transform scientific research results into real combat effectiveness? How can we achieve the transition from “squatting to running” to “jumping” in scientific and technological innovation and achieve “acceleration” in scientific and technological innovation? Please see the news investigation brought by reporters from the National Defense Engineering Research Institute of the Academy of Military Sciences.

Research direction——

We must work hard to study and strive for the future, and never lose our ambition

In late March, at a research institute of the National Defense Engineering Research Institute, researchers who had completed the experimental content of a project were busy collecting, organizing and analyzing data, which also meant that a forward-looking topic they had been studying had entered the finalization stage.

A few years ago, when the concept of a certain type of weapon was just proposed, researchers were keenly aware that with the continuous development of science and technology, once this type of weapon breaks through the technical barriers and is successfully developed, it will bring new challenges to the construction of national defense projects. Time waits for no one, and they have planned in detail the research direction of the subject and the key issues that need to be solved in combination with the current status of my country’s national defense projects. Today, the project team has basically mastered the damage effect of a certain new type of weapon on the target, and has proposed a new protection concept accordingly.

The successful completion of the project stems from the accurate aiming of the scientific research target, and the establishment of the scientific research direction is due to the keen insight and foresight of the scientific research team. This kind of forward-looking research is not an isolated case in the institute.

Engineer Han Yu recalled that as early as the 1980s, the research staff of the institute proposed the research direction of information warfare in the future war based on the development trend of warfare. After extensive data collection, investigation and understanding of the situation, and analysis of research rules, they outlined a forward-looking development blueprint for this research direction.

Thanks to the long-term research accumulation on informationized combat styles, after the institute formally established the relevant protection research laboratory last year, the laboratory’s researchers have been advancing related scientific research topics in an orderly and intensive manner.

The application and research cycle of a project is long, ranging from a few years to more than ten years, or even longer. If the research topic lacks foresight, the scientific research direction is not closely connected to the battlefield, and the results are difficult to help improve the combat effectiveness of the troops, it will inevitably cause a waste of manpower and material resources. In response to this situation, the institute clearly requires: “For research topics related to national defense projects, if they are not practical and forward-looking, they will not be allowed to be established.”

“Our research results usually have to be tested in the training ground, and the opinions and suggestions from the troops are summarized and collected on the feedback form, which provides an important reference basis for the next step of scientific research.” Wang Mingzhe, an engineer who is about to visit a certain test site, told reporters that in order to make the research topics stand the test of future wars, the researchers of the institute often go to plateaus and islands, and travel all over the country to investigate, inspect and demonstrate.

A few years ago, when conducting research in the army, researchers discovered that the camouflage cloth used by a brigade during a live-fire exercise was not conducive to camouflage and cover in special terrain. In response to the problem, researchers quickly organized a research project and designed a new information-based shielding system and cloth, making battlefield laying more convenient, faster, more confusing and concealed.

“When attending the plenary meeting of the People’s Liberation Army and the Armed Police Force delegation at the first session of the 13th National People’s Congress, President Xi stressed the need to pay close attention to the development trends of world military technology and weaponry. Indeed, conducting scientific research is like fighting a war. Only with a forward-looking vision can we win the commanding heights in overcoming difficult problems and seize the initiative for victory.” Speaking of the institute’s project approval standards, researcher Liu Ruichao said with emotion that scientific research in the field of national defense engineering must conform to the latest trends in combat styles and weapon development, and take one step ahead while being down-to-earth.

Scientific research talents——

How can the water be so clear? Because it comes from a source of fresh water.

“Look, these are the cracks that appeared after treatment…” On the afternoon of March 13, a laboratory of the institute was occasionally filled with the sound of machines roaring and explanations of experimental content.

In the laboratory, the reporter saw a soldier with gray hair in military uniform. Researcher Chen Anmin told the reporter that the old man was Gu Jincai, an academician of the Chinese Academy of Engineering, and the voice just heard outside the door was Academician Gu explaining the experiment content to the young backbone.

As an academician, the scientific research tasks are already very busy and there is no need for him to always be on the front line. However, Academician Gu, who is already 80 years old, still insists on patiently and meticulously teaching his apprentices and leading the team.

“Academician Gu and his group of veteran comrades have been working on the front line since the establishment of the unit, providing hands-on training and guidance to scientific researchers. I am especially grateful to the predecessors for their guidance and support in getting to where I am today.” Engineer Ma Dongliang is deeply impressed by the good atmosphere of the institute.

In 2009, Ma Dongliang was assigned to a research institute in the Central Plains. As a new employee, Ma Dongliang, who had not yet understood the content of his job, thought he would be assigned to do some “odd jobs” such as organizing documents. What he did not expect was that he was entrusted with an important task as soon as he arrived at the unit and participated in a major protection research project throughout the process.

“The project team is full of teachers with many books, and I, a ‘rookie’, can complete the project tasks?” Ma Dongliang recalled that he was both excited and terrified at the time. After working in the institute for a long time, he learned that the institute would formulate a capacity improvement plan for each key talent, formulate a targeted training plan for those with development potential, and cultivate a team of key talents through job training, sending students to study, cooperation and exchange, etc.

At the 2017 National Science and Technology Awards Commendation Conference, the project in which Ma Dongliang participated won the second prize of the National Science and Technology Progress Award. What surprised him was that the project leader put him in the position of the seventh author after considering everyone’s contribution, which is not only an honor but also a spur and encouragement for young researchers.

“My contribution to scientific research has not been ignored just because I am young. This is also an important reason why our young backbones stay here to concentrate on scientific research. The evaluation of awards focuses on professional ability and contribution. When evaluating and adjusting positions, it is not based on awards or achievements, but on comprehensive evaluation.” Ma Dongliang told reporters that he is currently working on four projects at the same time, working more than 10 hours a day, and working overtime on weekends is the norm. As he said, this fair competition method and evaluation mechanism make them “excited” and “energized” to do scientific research here.

Like Ma Dongliang, there are many young backbones born in the 1980s who like the talent training atmosphere of the institute and engage in scientific research and have achieved success and development. Some have become senior engineers, and some have served as laboratory leaders. A large number of scientific research backbones have grown rapidly here.

Research conditions——

The phoenix will come to roost when the phoenix tree is lush and leafy.

If information technology is the “multiplier” of combat effectiveness, then scientific research conditions are the “incubator” that gives birth to innovative results.

During the interview at the research institute, the reporter found that the place where the researchers spent the longest time was the test site.

At a test site of the institute, the reporter met Associate Researcher Xu Xiangyun who was preparing the test content. He told the reporter that each research room has several laboratories or test sites built according to the needs of scientific research projects. In addition to purchasing local mature technology products, most of the equipment is independently developed. A new type of test equipment next to him was developed and put into use last year.

At the end of 2012, a new type of weapon was released abroad. According to information obtained by scientific and technological personnel, its attack performance and its destructiveness to protective projects are astonishing, and it is likely to cause many protective projects to lose their due effectiveness.

As it concerns the safety of national defense projects, researchers need to find out the relevant performance of this type of weapon as soon as possible, and to obtain the most accurate information, they need to conduct relevant tests. Because it is a new type of weapon, there is no alternative test method in China, and it often takes 3 years or even longer to apply for the development of test equipment. This practical problem made the researchers of the institute frown. What should they do?

“A special research team composed of academicians and experts will be established to work together to overcome difficulties.” After the researchers reported the situation, the institute also invited experts in related fields from all over the country to discuss the matter. After multiple scientific discussions, they immediately decided to start the development of the test equipment as soon as possible.

In 2015, the Institute developed a certain type of test equipment when most similar test equipment in China could only be used in a fixed manner. With the test equipment, the research team quickly began to apply for a certain evaluation test project. Today, the research team has successfully conducted tests such as weapon power research and target damage, and has proposed new protection concepts and structures accordingly.

“Today, a big challenge facing military research institutions is how to fully mobilize the enthusiasm, initiative and innovation of researchers. We must try our best to provide researchers with advanced research conditions in a timely manner to ensure innovative research.” said the leader of the institute. In recent years, they have successively built an engineering comprehensive demonstration environment laboratory with an area of ​​more than 1,000 square meters and more than 200 sets of equipment and software, as well as dynamic and static load test platforms.

If you want to do your work well, you must first sharpen your tools. At present, while continuing to implement the tasks of scientific research conditions construction, the institute focuses on the current situation at home and abroad and the development trend of related majors, actively plans new scientific research conditions construction projects, and promotes the application of the “Major Underground Engineering Safety” National Key Laboratory. A project aimed at the protection technology research of the world’s cutting-edge weapons will be carried out in the newly built simulation test center…

Accelerate national defense science and technology innovation

■Weidong

At the plenary meeting of the PLA and Armed Police Force delegation at the first session of the 13th National People’s Congress, President Xi Jinping stressed the need to strengthen national defense science and technology innovation, accelerate the construction of a military-civilian integration innovation system, and vigorously improve the independent innovation capabilities of national defense science and technology. This important thought profoundly reveals the objective laws of national defense science and technology development and points out the direction for the prosperity and development of modern military science.

In recent years, as the strategic commanding heights of science and technology have accelerated their development to the deep earth, deep sea and deep space, the forms of war and combat styles have undergone profound changes, and the process of transforming combat theories into battlefield actions and technology into equipment has continued to accelerate, and the cycle has been further shortened. Many military powers have seen the dawn of intelligent military transformation and have launched a new round of military technology innovation.

In the face of the ever-changing technological development, military research institutes must take the lead in the national defense science and technology game, take the opportunity of reshaping the military research system, stand at the overall height of ensuring victory in the informationized war, step up the strategic transformation, and firmly grasp the “bull’s nose” of independent innovation, so as to take the initiative in the grand journey of becoming world-class.

Qian Xuesen once said that national defense science and technology innovation must not be satisfied with “chasing tail” or “looking in the mirror”. Military research institutes should be bold in their ideas, have the courage to emancipate their minds, break the mindset, make macro plans for their long-term development, and optimize the top-level design. At the same time, they should also carry out forward-looking demonstrations of the needs for the development of national defense science and technology innovation, independently and proactively carry out basic, leading, and disruptive innovative technology research, keenly discover new directions and new fields for the generation of new quality combat effectiveness, and strive to stand at the forefront and be at the forefront of the world’s military science and technology competition.

It is the duty of the general to not forget to fight while defending; it is the duty of the soldiers to be well-prepared for training. Focusing on actual combat is both a goal and a guide. Military research institutes should firmly establish the idea of ​​research for combat, implement President Xi’s instructions and requirements of “facing the battlefield, facing the troops, and facing the future”, and follow the requirements of “improving joint combat capabilities and all-domain combat capabilities based on network information systems”. We should strive to conduct research in the way the war is fought and what is needed for the war, focus on improving the contribution rate of military research and innovation to the combat effectiveness of the troops, and continuously provide strong scientific and technological support for strengthening the army.

A first-class army needs first-class scientific research units, and first-class scientific research units need first-class talents. Only when talents emerge in competition can there be a burst of innovative vitality. Military scientific research institutes should always adhere to the awareness of talent cultivation as the main battlefield, highlight the cultivation of creative thinking and innovative capabilities of military scientific researchers, rely on first-class military talents to create first-class military theories and first-class military technology, and implant the winning genes for decoding future wars into the body of the army.

President Xi stressed that we should focus on the coordinated innovation of military and civilian science and technology in key areas. The fields of national defense science and technology and weapons and equipment are the focus of military-civilian integration. As military research institutes, we should focus on meeting national strategic needs, integrating into the national scientific research system, strengthening the coordinated research of major projects, and strengthening the deep integration of industry, academia and research. Relying on the superior resources of the military and the local government, we should strengthen the strategic cooperation between the military and the local government, build a service platform for the joint research and sharing of national defense science and technology achievements, the joint construction and sharing of conditions and facilities, and the connection of common standards between the military and the local government, and form a new situation of open, integrated and innovative development of national defense science and technology.

Stride forward, reshape and reconstruct is not a minor repair, and must not be a small fight. We must seize the opportunity of the start, release the starting momentum, take steps and speed up in key areas, important directions and major tasks, and create new models and set new benchmarks as soon as possible, so as to take the lead in achieving leading results in the world military science and technology competition, occupy a number of strategic commanding heights and winning points, use first-class military technology to create a first-class combat offense and defense system, and gradually achieve the goal of building a first-class army.

(Author’s unit: National Defense Engineering Research Institute, Academy of Military Sciences)

Military scientific and technological innovation should focus on basic scientific research, improve basic scientific research support capabilities, and lay a solid foundation for national defense scientific and technological innovation.

In recent years, we have made great progress in the field of national defense science and technology, but there is still a gap with foreign countries in some key technologies, mainly because the basic research is not solid enough, and there is still room for improvement in professional basic theoretical research, digital military simulation platform development, large-scale distributed numerical computing technology, etc. These factors have restricted the scientific research progress and development in the military field to a certain extent, affecting the emergence and breakthroughs of cutting-edge leading technologies, modern engineering technologies, and disruptive technological innovations.

Basic key technologies cannot be bought, and you will not get far if you rely on buying second-hand technologies from abroad. We should start from the aspects of top-level planning design, scientific research management system, and incentive mechanism for scientific researchers, attach importance to and support basic research work, carry out basic research work in depth, and enhance original innovation capabilities.

Military research institutions must break down the “barriers” between the military and civilian science and technology systems, and focus on collaborative innovation in military and civilian science and technology in key areas.

With the rapid development of high-tech weapons and equipment, the styles and forms of warfare are constantly changing, which puts higher requirements on battlefield construction. We must actively explore many disciplines such as earth sciences, high-tech equipment manufacturing, and automatic control, and study the construction of a full-domain intelligent battlefield.

Based on this, military research units need to cooperate with local governments to jointly carry out in-depth engineering research, integrate high-quality local military resources in the fields of electronic information, drones, artificial intelligence and bionics, and use the best scientific and technological resources in the country to build a modern military force system. For our national defense engineering field, we must attach importance to promoting the application of building information modeling (BIM) in military engineering and realize the informationization and refined management of engineering construction and operation and maintenance.

Innovation-driven development is essentially talent-driven. Whoever possesses first-class innovative talents will have the advantage and dominance in scientific and technological innovation.

At present, the most urgent need for strengthening national defense and military construction is talent; looking to the future, the core of achieving leapfrog development in military construction is still talent. Only by fully driving the talent training engine can we strongly promote independent innovation in national defense science and technology.

Many years of experience in scientific research have made me feel that talent cultivation is a systematic project and strategic task. We need to focus on the overall situation, strengthen top-level design, scientifically set up echelons, and strive to create a vivid situation where outstanding talents emerge and everyone competes to be a “maker” in the military camp. Talent cultivation has its inherent characteristics and laws. It cannot be achieved overnight or in a short period of time. We need to firmly establish a scientific concept of talent cultivation, with the ideological realm and confidence and courage of “success does not have to be mine, but the effort will not be in vain”, and work hard for a long time and continue to relay, so as to turn the talent cultivation blueprint into reality and provide solid talent support for the development of the military through science and technology.

Conducting military scientific research is like fighting a war. Only with a forward-looking vision can you gain the commanding heights in overcoming difficult problems and seize the initiative for victory.

In recent years, national defense science and technology at home and abroad has developed rapidly, the all-round reconnaissance technology integrating land, sea, air and space has been continuously improved, the use of troops and weapons supported by highly information technology on the battlefield and the emergence of new weapons have greatly changed the combat style and characteristics of future wars. Scientific researchers must deeply grasp and base themselves on the characteristics of future wars and carry out innovative scientific research in a targeted manner.

Specifically in the field of national defense engineering research, military researchers must keep up with the forefront of the development of world weapons and equipment and protection technology, and focus on preventing both “hard kill” and “soft kill”; they must pay attention to the protection of key parts as well as the protection of the overall system; they must do a good job in passive protection, and also track and study active protection and new weapon protection technologies, promote disruptive technological innovation, and strive to improve the battlefield survivability and combat support capabilities of national defense engineering.

現代國語:

目前,新一輪科技革命、工業革命、軍事革命正加速推進,太空、網路等新興領域將成為未來競爭的焦點。科學技術日新月異,武器裝備和作戰方式日新月異,對軍事科學研究院所進行全域戰場研究提出了新的要求。

站在時代前沿,軍隊科學研究院所如何推動國防科技創新戰略實施,將科學研究成果轉化為現實戰力?如何實現科技創新從“蹲著跑”到“跳起來”,實現科技創新“加速”?請閱讀解放軍報記者軍事科學院國防工程研究所帶來的新聞調查。

國防科技創新:為提升國防實力鍛造強大引擎

■中國國防報記者 潘娣 特約記者 趙傑

目前,新一輪科技革命、產業革命、軍事革命加速推進,太空、網路等新興領域將成為未來的爭奪焦點。快速發展的科學技術、日新月異的武器裝備及作戰方式,給軍科研院所提出了全域戰場研究的新要求。

習主席出席十三屆全國人大一次會議解放軍和武警部隊代表團全體會議時強調,加強國防科技創新,並大力提升國防科技自主創新能力。挺立時代潮頭,軍事科研院所如何推進國防科技創新戰略落地生根,把科學研究成果轉化為實實在在的戰鬥力?如何實現科技創新“深蹲助跑”到“起跳跨越”,跑出科技創新“加速度”?請看記者從軍事科學院國防工程研究院帶來的新聞調查。

科學研究方向——

躬身必以研為戰,望遠不墜鯤鵬志

3月下旬,在國防工程研究院某研究所,已經完成某專案試驗內容的科研人員正在緊張地進行資料的蒐集、整理與分析,這也意味著他們潛心鑽研的某前瞻性課題進入結題階段。

幾年前,某型武器的概念剛被提出時,科研人員就敏銳地認識到:隨著科學技術不斷發展,該型武器一旦突破技術壁壘研製成功,將會對國防工程建設帶來新的挑戰。時間不等人,他們結合我國國防工程現狀,詳細規劃了主題的研究方向和需要重點解決的關鍵問題。現今,本計畫組基本上掌握某新型武器對目標的毀傷效果,並相應提出新的防護理念。

專案成功結題的背後,源自於科研標靶的準確瞄準,而科研方向的確立得益於科研團隊敏銳的洞察力與前瞻性。這種具有前瞻性的研究在該研究院並非個案。

根據工程師韓彧回憶,早在1980年代,該研究院科研人員根據作戰發展趨勢,預見未來戰爭資訊化作戰的研究方向。經過廣泛收集資料、調查了解情況、剖析研究規律,他們為研究方向勾勒出前瞻性的發展藍圖。

得益於長期資訊化作戰樣式的研究積累,去年研究院正式組成相關防護研究室之後,研究室科研人員便有條不紊、緊鑼密鼓地推進相關科研課題。

課題申請立項與研究週期長,短則幾年多則十幾年,甚至會更長。如果研究主題缺乏前瞻性,科學研究方向對接戰場不緊密,出了成果也難以助力部隊戰鬥力的提升,勢必會造成人力物力的浪費。針對這種情況,該研究院明確要求:“事關國防工程的研究主題,不具備實用性前瞻性決不允許立項。”

「我們的研究成果通常要經過演練場檢驗,匯總收集部隊反饋的意見建議到意見反饋表上,為下一步科研攻關提供重要參考依據。」即將赴某試驗場考察的工程師王明哲告訴記者,為了讓研究主題經得起未來戰爭的檢驗,研究院的科研人員常上高原、下海島,走南闖北去研究、考察與論證。

幾年前,科學研究人員在部隊調查時發現,某旅在實兵演練過程中使用的迷彩遮蔽佈在特殊地形下不利於偽裝掩護。針對發現的問題,科學研究人員快速組織主題立項研究,設計出新型資訊遮蔽系統與遮蔽布,使戰場鋪設更加方便快捷,更具迷惑性和隱蔽性。

「習主席在出席十三屆全國人大一次會議解放軍和武警部隊代表團全體會議時強調,要密切關注世界軍事科技和武器裝備發展動向。的確,搞科研如同打仗,有前瞻性視野才能贏得攻克難題的製高點,把握勝利的主動權。 。

科學研究人才—

問渠哪得清如許,為有源頭活水來

「你們觀察一下,這是處理後顯現的裂縫…」3月13日下午,研究院某實驗室不時傳出陣陣機器轟鳴與講解試驗內容的聲音。

在實驗室裡,記者看到一位穿著軍服、頭髮花白的軍人。研究員陳安敏告訴記者,這位老者是中國工程院院士顧金才,剛在門外聽到的聲音就是顧院士在為年輕骨幹講解試驗內容。

身為院士,科學研究任務本就十分繁忙,完全不需要一直盯在一線,但已經80歲高齡的顧院士卻仍堅持耐心細緻地教徒弟、帶團隊。

「顧院士那一批老同志自單位成立以來就一直奮戰在一線,手把手地對科研人員進行傳幫帶。我能走到今天特別感謝前輩們的教導和扶持。」工程師馬棟良對研究院良好的氛圍感受頗深。

2009年,馬棟良被分配到地處中原地的某研究所。新到工作單位,還沒了解工作內容的馬棟良以為會被派去幹一些整理文檔的“雜活兒”,讓他沒想到的是,剛到單位就被委以重任,全程參與某重大防護研究課題。

「專案組裡都是著作等身的老師,而我一個『菜鳥』能把專案任務完成好嗎?」馬棟良回想當時的心情既激動又惶恐。他在研究院待久了才知道,原來研究院對每位骨幹人才都會製訂能力提升計劃,對有發展潛力的針對性製訂培養方案,透過崗位鍛鍊、送學培養、合作交流等方式,培養骨幹人才方隊。

在2017年度國家科學技術獎勵表揚大會上,馬棟良參與的這個計畫獲得國家科學技術進步獎二等獎。讓他既驚訝又意外的是,專案組組長綜合考慮每個人的貢獻後,將他放在了第七作者的位置,這對年輕科研人員來說既是榮譽,更是鞭策和激勵。

「並沒有因為年輕就忽略我在科研中的貢獻,這也是我們年輕骨幹留在這裡潛心搞科研的重要原因。評獎看重專業能力與所作所為,在評職調級時不唯獎不唯成果,而是依據綜合性評估。如他所說,這種公平的競爭方式與評價機制,讓他們在這裡搞科研「得勁兒」「有勁兒」。

而和馬棟良一樣,喜歡研究院人才培養氛圍而深耕科研,並取得成就與發展的「80後」年輕骨幹不在少數,有的成為了高級工程師,有的擔任了研究室領導,一大批科研骨幹在這裡快速成長起來。

科學研究條件——

梧桐枝繁葉茂,自有鳳凰來棲

如果資訊科技是戰鬥力的“倍增器”,那麼科研條件就是催生創新成果的“孵化器”。

在研究院採訪的日子裡,記者發現科學研究人員待得最久的地方就是試驗場。

在研究院某試驗場地,記者見到正在準備試驗內容的副研究員徐翔雲,他告訴記者,每個研究室都有幾處根據科研項目需求建造的實驗室或試驗場,除了購置地方技術成熟的產品,大部分是自主研發的設備,他身旁的某新型試驗設備就是去年研發投入使用的。

2012年年底,國外發布了一款新型武器,根據科技人員掌握到的情況,其攻擊性能及其對防護工程的破壞性令人吃驚,很可能會導致許多防護工程失去其應有的效用。

關乎國防工程的安全問題,科學研究人員要盡快摸清該型武器的相關性能,而要掌握到最準確的資料,需要進行相關試驗。由於是新型武器,國內尚未有可以作為替代的試驗手段,而要報項申請研發試驗裝備,往往需要3年甚至更長的時間。這個現實難題讓研究院科研人員皺緊了眉頭,怎麼辦?

「成立由院士專家組成的專題課題攻關小組,群策群力攻堅克難。」科研人員報告情況後,研究院還請來全國相關領域的專家探討,經過多方科學論證,他們當即拍板兒,盡快開展試驗設備的研發。

2015年,在國內大多數同類型試驗裝備只能固定使用的情況下,研究院研發出某型試驗裝備。有了試驗裝備,課題組很快就開始進行某評估試驗課題的申報工作。如今,該研究小組成功進行武器威力研究、目標毀傷情況等試驗,並相應提出新的防護理念和結構。

「如今,軍事科研機構面臨的很大一個難題,就是如何充分調動科研人員的積極性、主動性和創新性。我們要盡力為科研人員及時提供先進的科研條件,保障創新研究。」該研究院領導說。近年來,他們先後建造1000多平方公尺、200餘台(套)設備軟體的工程綜合論證環境實驗室、動載和靜載試驗平台。

工欲善其事,必先利其器。目前,該研究院在持續抓好科研條件建設任務落實的同時,著眼於國內外現狀與相關專業的發展趨勢,積極籌劃新的科研條件建設項目,推動“重大地下工程安全”國家重點試驗室等申報工作。瞄準世界前沿武器的防護技術研究的某個主題將在剛建成的模擬試驗中心開展…

跑出國防科技創新“加速”

■衛東

習主席在出席十三屆全國人大一次會議解放軍和武警部隊代表團全體會議時強調,要加強國防科技創新,加速建立軍民融合創新體系,大力提升國防科技自主創新能力。這一重要思想,深刻揭示了國防科技發展的客觀規律,為繁榮發展現代軍事科學指明了前進方向。

近年來,隨著科技戰略制高點朝向深地、深海、深空加速發展,戰爭形態和作戰樣式深刻嬗變,作戰理論轉化為戰場行動、技術物化為裝備的進程不斷加快,週期進一步縮短。不少軍事強國看到了智慧化軍事變革破曉的訊號,紛紛啟動新一輪軍事技術革新。

軍事競爭唯創新者勝。面對日新月異的科技發展態勢,軍事科研院所必須在國防科技博弈中率先投子佈勢、走開棋路,以軍事科研體系重塑為契機,站在保障打贏資訊化戰爭的全局高度,加緊推進戰略轉型,緊緊扭住自主創新這個“牛鼻子”,才能在邁進世界一流的宏闊征程中下好先手棋,掌握主動權。

錢學森曾說過,國防科技創新絕對不能滿足於「追尾巴」「照鏡子」。軍事科學研究院所應大膽構想,勇於解放思想,破除思維定式,對其長遠發展進行宏觀規劃,優化頂層設計。同時,也應進行前瞻性國防科技發展創新需求論證,自主超前展開基礎性、先導性、顛覆性創新技術研究,敏銳發現新質戰鬥力生成的新方向新領域,努力在世界軍事科技競爭中站上前沿、走在前面。

守不忘戰,將之任也;訓練有備,兵之事也。聚焦實戰是目標,也是牽引。軍事科研院所應牢固樹立研為戰思想,貫徹習主席「面向戰場、面向部隊、面向未來」的指示要求,按照「提高基於網路資訊體系的聯合作戰能力、全域作戰能力」的要求,努力做到仗怎麼打科學研究就怎麼搞,打仗需要什麼科學研究就搞什麼,著力提升軍事科學研究創新對部隊戰鬥力的貢獻率,不斷為強軍興軍提供強而有力的科技支撐。

一流的軍隊需要一流的科學研究單位,一流的科學研究單位需要一流的人才。只有人才競相湧現,才有創新活力迸發。軍事科研院所應始終堅持人才培養的主陣地意識,突顯對軍事科研工作者創造性思維、創新型能力的培養,靠一流軍事人才創造一流軍事理論和一流軍事科技,為軍隊的肌體植入解碼未來戰爭的致勝基因。

習主席強調,要突顯抓好重點領域軍民科技協同創新。國防科技與武器裝備領域是軍民融合的重點,作為軍事科研院所,應注重對接國家戰略需求,融入國家科研體系,加強重大項目協同攻關,強化產研深度融合。依托軍地優勢資源,強化軍地戰略協作,建構國防科技成果共研共享、條件設施共建共用、通用標準軍地銜接的服務平台,形成國防科技開放融合創新發展新局面。

闊步前進,重塑重構不是小修小補,絕不能小打小鬧。必須抓住開局契機,釋放起跑動能,在重點領域、重要方向和重大任務上把步子邁起來、速度提上去,盡快打造新樣板,樹起新標桿,從而在世界軍事科技競爭中率先取得引領性成果,佔據若干戰略制高點、致勝點,以一流軍事科技打造一流作戰攻防體系,逐步實現一流軍隊的建設目標。

(作者單位:軍事科學學院國防工程研究院)

軍事科技創新要聚焦基礎科學研究,提升基礎研究支撐能力,築牢國防科技創新的根基。

近年來,我們在國防科技領域取得非常大的進展,但在一些關鍵技術上和國外仍存在差距,主要是因為基礎性研究不夠紮實,在專業基礎理論研究、數位化軍事模擬平台研發、大型分散式數值計算技術等方面仍有待提升。這些因素都在一定程度上限制了軍事領域的科研進步與發展,影響著前沿引領技術、現代工程技術、顛覆性技術創新等方面的產生與突破。

基礎性關鍵技術絕對買不來,靠從國外買二手技術是走不遠的。若要從規劃頂層設計、研究管理制度、研究人員激勵機制等面向入手,實際重視與扶持基礎研究工作,深入進行基礎研究工作,提升原始創新能力。

軍事科研機構必須破除軍民科技體系之間的“藩籬”,突顯抓好重點領域軍民科技協同創新。

隨著當前高新技術武器裝備迅速發展,戰爭樣式和形態推陳出新,對戰場建設提出了更高要求,要積極探索地球科學、高新技術裝備製造、自動控制等眾多學科,研究全局智能戰場建設。

基於此,軍事科研單位需要和地方協同合作,共同做好深部工程研究,在電子資訊、無人機、人工智慧和仿生技術等高新科技研究方向,整合軍隊地方優質資源,用全國最優質的科技資源建構現代軍事力量體系。對我們國防工程領域而言,要重視推進建築資訊模型(BIM)在軍事工程的應用,實現工程建設與運作維護的資訊化、精細化管理。

創新驅動實質上是人才驅動,誰擁有了一流的創新人才,誰就擁有了科技創新的優勢和主導權。

著眼當下,加強國防和軍隊建設最緊張的就是人才;放眼未來,實現軍隊建設跨越式發展最核心的還是人才。全力驅動人才培養引擎,才能強勢助推國防科技自主創新。

多年的科學研究工作經驗使我感到,人才培育工作是一項系統工程和策略任務,需要著眼全局,加強頂層設計,科學設置梯次,著力形成優秀人才競相湧現、人人爭當軍營「創客」的生動局面。人才培育有其固有的特點和規律,不可能一蹴而就、短期速成,需要牢固樹立科學的人才培養觀,以「功成不必在我,而功力必不唐捐」的思想境界和信心勇氣,久久為功、持續接力,才能把人才培養藍圖變成現實,為科技興軍提供堅實的人才支撐。

搞軍事科研如同打仗,有前瞻性視野才能贏得攻克難題的製高點,把握勝利的主動權。

近年來,國內外國防科技快速發展,陸海空天一體的全方位偵察技術不斷提升,戰場中以高度資訊化技術為支撐的兵力武器運用以及新式武器的問世,大大改變了未來戰爭的作戰樣式和特徵,科學研究人員要深刻掌握並立足未來戰爭特點,有針對性地進行創新性科學研究工作。

具體到國防工程研究領域,軍事科研人員要緊跟世界武器裝備和防護技術發展的前沿,既要注重防“硬殺傷”,也要注重防“軟殺傷”;既要注重對要害部位的防護,也要注重整體系統防護;既要搞好被動防護,也要追蹤研究主動防護和新型武器防護技術,推動顛覆性技術創新,努力提升國防工程戰場生存能力和作戰保障能力。

来源:中国军网综合

作者:潘娣 赵杰等责任编辑:柳晨

2018-05-02 

中國原創軍事資源:https://www.81.cn/2018zt/2018-05/02/content_8020899.htm