系统仿真学报 ›› 2023, Vol. 35 ›› Issue (9): 1871-1894.doi: 10.16182/j.issn1004731x.joss.23-0300
收稿日期:
2023-05-17
修回日期:
2023-06-30
出版日期:
2023-09-25
发布日期:
2023-09-19
通讯作者:
项凤涛
E-mail:luojunren17@nudt.edu.cn;xiangfengtao@nudt.edu.cn
第一作者简介:
罗俊仁(1989-),男,博士生,研究方向为不完美信息博弈、多智能体学习。E-mail:luojunren17@nudt.edu.cn
基金资助:
Luo Junren(), Zhang Wanpeng, Xiang Fengtao(
), Jiang Chaoyuan, Chen Jing
Received:
2023-05-17
Revised:
2023-06-30
Online:
2023-09-25
Published:
2023-09-19
Contact:
Xiang Fengtao
E-mail:luojunren17@nudt.edu.cn;xiangfengtao@nudt.edu.cn
摘要:
推演是一项研究国家安全与竞争、军事冲突与战争、危机管控等重大战略问题的预实践活动。智能推演系统需要人工智能技术的赋能。简要概述了智能博弈的研究进展,推演的演进脉络,智能化兵棋推演及战略博弈推演方法;从博弈论的视角切入,分析了面向智能推演的博弈问题模型,梳理了智能兵棋推演的应用模式、战略博弈推演的组织方式;提出了基于云原生的智能推演服务化架构,面向云边端分布式对抗探索了未来决策云预训练方法,面向危机事件认知构建了战略博弈推演元博弈分析框架。期望为智能博弈推演方面的理论与工具等研究提供科学有效的参考,为新一代智能化云边协同指控提供理论与技术支撑。
中图分类号:
罗俊仁,张万鹏,项凤涛等 . 智能推演综述:博弈论视角下的战术战役兵棋与战略博弈[J]. 系统仿真学报, 2023, 35(9): 1871-1894.
Luo Junren,Zhang Wanpeng,Xiang Fengtao,et al . Survey on Intelligent Wargaming: Tactical & Campaign Wargame and Strategic Game from Game-Theoretic Perspective[J]. Journal of System Simulation, 2023, 35(9): 1871-1894.
1 | Schechter B, Schneider J, Shaffer R. Wargaming as a Methodology: the International Crisis Wargame and Experimental Wargaming[J]. Simulation & Gaming, 2021, 52(4): 513-526. |
2 | 高凯, 赵林. "混合战争"——俄罗斯新战略博弈手段[J]. 军事文摘, 2019(13): 10-13. |
3 | Silver D, Schrittwieser J, Simonyan K, et al. Mastering the Game of Go Without Human Knowledge[J]. Nature, 2017, 550(7676): 354-359. |
4 | OpenAI. Introducing ChatGPT[EB/OL]. [2023-03-02]. . |
5 | Meta Fundamental AI Research Diplomacy Team (FAIR), Bakhtin A, Brown N, et al. Human-level Play in the Game of Diplomacy by Combining Language Models with Strategic Reasoning[J]. Science, 2022, 378(6624): 1067-1074. |
6 | Kramár János, Eccles T, Gemp I, et al. Negotiation and Honesty in Artificial Intelligence Methods for the Board Game of Diplomacy[J]. Nature Communications, 2022, 13(1): 7214. |
7 | Perolat J, Bart De Vylder, Hennes D, et al. Mastering the Game of Stratego with Model-free Multiagent Reinforcement Learning[J]. Science, 2022, 378(6623): 990-996. |
8 | Anon. Constructive Machine-learning Battles with Adversary Tactics (COMBAT) [EB/OL]. (2021-12-14) [2022-09-01]. . |
9 | Waterman S. AFRL's 'Fight Tonight' to Prototype AI and Gaming Tech for Attack Planning[EB/OL]. (2021-12-14) [2022-09-01]. . |
10 | David R, LaPlante W. Final Report of the Defense Science Board (DSB) Task Force on Gaming, Exercising, Modeling, and Simulation. Executive Summary[R]. Washington, DC: Defense Science Board, 2021: 1-9. |
11 | TechConnect Defense. DARPA SCEPTER Program will Explore Machine-generated Strategies for Warfare[EB/OL]. (2022-01-24) [2022-08-29]. . |
12 | DARPA. SHADE: Stabilizing Hostilities Through Arbitration and Diplomatic Engagement[EB/OL]. (2022-06-30) [2023-06-29]. . |
13 | 王志闻. 兵棋推演演变[M]. 北京: 国防大学出版社, 2020. |
14 | 齐胜利. 战略推演论[M]. 北京: 国防大学出版社, 2020. |
15 | Clark B, Patt D, Schramm H. Mosaic Warfare: Exploiting Artificial Intelligence and Autonomous Systems to Implement Decision-Centric Operations[EB/OL]. (2020-02-11) [2022-08-29]. . |
16 | Spencer D K, Duncan S, Taliaferro A. Operationalizing Artificial Intelligence for Multi-domain Operations: a first look[C]//Artificial Intelligence and Machine Learning for Multi-domain Operations Applications. [S.I.]: SPIE, 2019: 1100602. |
17 | Oriesek D F, Schwarz J O. Winning the Uncertainty Game: Turning Strategic Intent into Results with Wargaming[M]. London: Routledge, 2020. |
18 | Evensen P I, Martinussen S E, Halsør M, et al. Wargaming Evolved: Methodology and Best Practices for Simulation-supported Wargaming[C]//The Interservice/Industry Training, Simulation & Education Conference (I/ITSEC). Orlando, FL (USA): The National Training and Simulation Association (NTSA), 2019: 19182. |
19 | 刘海洋, 唐宇波, 胡晓峰, 等. 面向联合作战评估的兵棋推演实验研究[J]. 指挥与控制学报, 2018, 4(4): 272-280. |
Liu Haiyang, Tang Yubo, Hu Xiaofeng, et al. Wargaming Experiment Oriented Evaluation of Joint Operations[J]. Journal of Command and Control, 2018, 4(4): 272-280. | |
20 | 曹占广, 陶帅, 胡晓峰, 等. 国外兵棋推演及系统研究进展[J]. 系统仿真学报, 2021, 33(9): 2059-2065. |
Cao Zhanguang, Tao Shuai, Hu Xiaofeng, et al. Abroad Wargaming Deduction and System Research[J]. Journal of System Simulation, 2021, 33(9): 2059-2065. | |
21 | Powell A L S. Wargaming All Domain Operations and Leader Development[R]. Fort Leavenworth, KS: School of Advanced Military Studies US Army Command and General Staff College, 2021: 1-49. |
22 | Frank A B, Bartels E M. Adaptive Engagement for Undergoverned Spaces: Concepts, Challenges, and Prospects for New Approaches[M]. Santa Monica, CA, USA: RAND Corporation, 2022. |
23 | NATO. NATO Analytical War Gaming-innovative Approaches for Data Capture, Analysis and Exploitation[EB/OL]. [2023-03-02]. $$TR-SAS-139-ALL.pdf. |
24 | 尹奇跃, 赵美静, 倪晚成, 等. 兵棋推演的智能决策技术与挑战[J]. 自动化学报, 2023, 49(5): 913-928. |
Yin Qiyue, Zhao Meijing, Ni Wancheng, et al. Intelligent Decision Making Technology and Challenge of Wargame[J]. Acta Automatica Sinica, 2023, 49(5): 913-928. | |
25 | 贺筱媛, 郭圣明, 吴琳, 等. 面向智能化兵棋的认知行为建模方法研究[J]. 系统仿真学报, 2021, 33(9): 2037-2047. |
He Xiaoyuan, Guo Shengming, Wu Lin, et al. Modeling Research of Cognition Behavior for Intelligent Wargaming[J]. Journal of System Simulation, 2021, 33(9): 2037-2047. | |
26 | 张驭龙. 面向兵棋推演临机规划任务的知识模型嵌入式强化学习技术[D]. 长沙: 国防科技大学, 2022. |
27 | 刘满, 张宏军, 徐有为, 等. 群队级兵棋实体智能行为决策方法研究[J]. 系统工程与电子技术, 2022, 44(8): 2562-2569. |
Liu Man, Zhang Hongjun, Xu Youwei, et al. Research on Behavior Decision-making of Multi Entities in Group-level Wargame[J]. Systems Engineering and Electronics, 2022, 44(8): 2562-2569. | |
28 | 王昶. 战略推演: 获取竞争优势的思维与方法[M]. 北京: 机械工业出版社, 2019. |
29 | 周姚, 夏旻, 莫李龙. 兰德联合一体化应急模型应用及启示[J]. 东南大学学报(哲学社会科学版), 2021, 23(增1): 166-167. |
30 | 李健, 毛翔. 兰德战略评估系统及其影响[J]. 军事运筹与系统工程, 2015, 29(1): 5-12. |
31 | 季明. 美国"翌日"模拟法辅助战略问题决策[J]. 外国军事学术, 2004(9): 34-35. |
32 | Linick M E, Yurchak J, Spirtas M, et al. Hedgemony: A Game of Strategic Choices[EB/OL]. [2023-02-05]: . |
33 | 司光亚. 战略训练模拟系统原理[M]. 北京: 国防大学出版社, 2011. |
34 | 陈敏, 黄谦, 李坎. 军事战略博弈研讨系统分析与设计[J]. 指挥控制与仿真, 2019, 41(1): 84-89. |
Chen Min, Huang Qian, Li Kan. Analysis and Design of Military Strategy Game Research System[J]. Command Control & Simulation, 2019, 41(1): 84-89. | |
35 | 杨镜宇, 唐本富, 吴曦, 等. 面向事件认知的战略博弈系统设计[J]. 军事运筹与系统工程, 2020, 34(3): 59-65. |
Yang Jingyu, Tang Benfu, Wu Xi, et al. Design of Event Cognition Oriented Strategic Game System[J]. Military Operations Research and Systems Engineering, 2020, 34(3): 59-65. | |
36 | 吴曦, 孟祥林, 杨镜宇. 下一代战略博弈推演系统研究[J]. 系统仿真学报, 2021, 33(9): 2017-2024. |
Wu Xi, Meng Xianglin, Yang Jingyu. Study on Next-generation Strategic Wargame System[J]. Journal of System Simulation, 2021, 33(9): 2017-2024. | |
37 | 赵彬. 基于超对策的军事战略博弈冲突分析[D]. 长沙: 国防科技大学, 2021. |
38 | 于淼, 徐屹泰, 周文, 等. 战略博弈手段结构化表示与手段集构建方法[J]. 国防科技, 2022, 43(5): 57-62. |
Yu Miao, Xu Yitai, Zhou Wen, et al. Structured Representations of Strategic Game Options and Building an Option Set[J]. National Defense Technology, 2022, 43(5): 57-62. | |
39 | 李伟, 梁小平. 未战先算, 多算常胜: 战略推演呼唤"智能+"[EB/OL]. (2021-05-18) [2023-07-31]. . |
40 | 徐屹泰, 于淼, 孙晓民, 等. 战略博弈与兵棋推演跨层级联动运行研究[J]. 军事运筹与评估, 2022, 37(2): 73-79. |
Xu Yitai, Yu Miao, Sun Xiaomin, et al. Research on Cross-level Linkage Operation of Strategic Game and Wargaming[J]. Military Operations Research and Assessment, 2022, 37(2): 73-79. | |
41 | Grant T, Kooter B. Comparing OODA and Other Models as Operational View C2 Architecture[C]//10th International Command and Control Research and Technology Symposium the Future of C2. Santa Cruz, CA, USA: [s.n.], 2005: 1-14. |
42 | 李琛, 黄炎焱, 张永亮, 等. Actor-Critic框架下的多智能体决策方法及其在兵棋上的应用[J]. 系统工程与电子技术, 2021, 43(3): 755-762. |
Li Chen, Huang Yanyan, Zhang Yongliang, et al. Multi-agent Decision-making Method Based on Actor-critic Framework and Its Application in Wargame[J]. Systems Engineering and Electronics, 2021, 43(3): 755-762. | |
43 | 张振, 黄炎焱, 张永亮, 等. 基于近端策略优化的作战实体博弈对抗算法[J]. 南京理工大学学报, 2021, 45(1): 77-83. |
Zhang Zhen, Huang Yanyan, Zhang Yongliang, et al. Battle Entity Confrontation Algorithm Based on Proximal Policy Optimization[J]. Journal of Nanjing University of Science and Technology, 2021, 45(1): 77-83. | |
44 | Yin Qiyue, Yu Tongtong, Shen Shengqi, et al. Distributed Deep Reinforcement Learning: A Survey and A Multi-player Multi-agent Learning Toolbox[EB/OL]. (2022-12-01) [2023-03-02]. . |
45 | 施伟, 冯旸赫, 程光权, 等. 基于深度强化学习的多机协同空战方法研究[J]. 自动化学报, 2021, 47(7): 1610-1623. |
Shi Wei, Feng Yanghe, Cheng Guangquan, et al. Research on Multi-aircraft Cooperative Air Combat Method Based on Deep Reinforcement Learning[J]. Acta Automatica Sinica, 2021, 47(7): 1610-1623. | |
46 | 梁星星, 马扬, 冯旸赫, 等. 基于预测编码的样本自适应行动策略规划[J]. 软件学报, 2022, 33(4): 1477-1500. |
Liang Xingxing, Ma Yang, Feng Yanghe, et al. Sample Adaptive Policy Planning Based on Predictive Coding[J]. Journal of Software, 2022, 33(4): 1477-1500. | |
47 | 蒲志强, 易建强, 刘振, 等. 知识和数据协同驱动的群体智能决策方法研究综述[J]. 自动化学报, 2022, 48(3): 627-643. |
Pu Zhiqiang, Yi Jianqiang, Liu Zhen, et al. Knowledge-based and Data-driven Integrating Methodologies for Collective Intelligence Decision Making: A Survey[J]. Acta Automatica Sinica, 2022, 48(3): 627-643. | |
48 | 黄凯奇, 兴军亮, 张俊格, 等. 人机对抗智能技术[J]. 中国科学(信息科学), 2020, 50(4): 540-550. |
Huang Kaiqi, Xing Junliang, Zhang Junge, et al. Intelligent Technologies of Human-computer Gaming[J]. Scientia Sinica(Informationis), 2020, 50(4): 540-550. | |
49 | 易本胜, 李万顺. 美军战略净评估方法分析[J]. 军事运筹与系统工程, 2012, 26(3): 14-18. |
50 | 易本胜. 净评估: 军事理论生成和转化的有效模式与方法[J]. 军事文摘, 2020(3): 7-11. |
51 | 娄伟. 情景分析方法研究[J]. 未来与发展, 2012, 35(9): 17-26. |
Lou Wei. The Study on Scenario Analysis Method[J]. Future and Development, 2012, 35(9): 17-26. | |
52 | Nguyen M T, Dunn M. Some Methods for Scenario Analysis in Defence Strategic Planning[EB/OL]. [2023-01-10]. . |
53 | 赵晓哲, 郭锐. 军事系统研究的综合集成方法[J]. 系统工程理论与实践, 2004, 24(10): 127-130, 144. |
Zhao Xiaozhe, Guo Rui. Metasynthesis for Research on Military System[J]. Systems Engineering-Theory & Practice, 2004, 24(10): 127-130, 144. | |
54 | 王丹力, 郑楠, 刘成林. 综合集成研讨厅体系起源、发展现状与趋势[J]. 自动化学报, 2021, 47(8): 1822-1839. |
Wang Danli, Zheng Nan, Liu Chenglin. Hall for Workshop of Metasynthetic Engineering: The Origin, Development Status and Future[J]. Acta Automatica Sinica, 2021, 47(8): 1822-1839. | |
55 | 郑楠, 章颂, 戴汝为. "人-机结合"的综合集成研讨体系[J]. 模式识别与人工智能, 2022, 35(9): 767-773. |
Zheng Nan, Zhang Song, Dai Ruwei. Hall for Workshop of Metasynthetic Engineering Based on Man-machine Integration[J]. Pattern Recognition and Artificial Intelligence, 2022, 35(9): 767-773. | |
56 | 徐选华, 尹儇鹏, 钟香玉, 等. 大群体决策理论与方法研究综述: 问题与挑战[J]. 信息与控制, 2021, 50(1): 54-64, 74. |
Xu Xuanhua, Yin Xuanpeng, Zhong Xiangyu, et al. Summary of Research on Theory and Methods in Large-group Decision-making: Problems and Challenges[J]. Information and Control, 2021, 50(1): 54-64, 74. | |
57 | Peterson J C, Bourgin D D, Agrawal M, et al. Using Large-scale Experiments and Machine Learning to Discover Theories of Human Decision-making[J]. Science, 2021, 372(6547): 1209-1214. |
58 | Schelling T C. The Strategy of Conflict[M]. Cambridge: Harvard University Press, 1960. |
59 | Howard N. Paradoxes of Rationality: Theory of Metagames and Political Behavior[M]. Cambridge: MIT Press, 1971. |
60 | Fraser N M, Hipel K W. Solving Complex Conflicts[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(12): 805-816. |
61 | Kilgour D M, Hipel K W, Fang L. The Graph Model for Conflicts With Application to Resource Allocation[J]. IFAC Proceedings Volumes, 1985, 18(14): 265-270. |
62 | Fang Liping, Hipel K W, Kilgour D M. Interactive Decision Making: The Graph Model for Conflict Resolution[M]. New York: John Wiley & Sons, Inc., 1993. |
63 | Kilgour D M, Eden C. Handbook of Group Decision and Negotiation[M]. 2nd ed. Cham: Springer International Publishing, 2021. |
64 | Sage A P. Decision Support Systems Engineering[M]. New York: John Wiley & Sons, Inc., 1991. |
65 | Zhou Xinyu, Ma Xiaoqi. Progress of Graph Model for Conflict Resolution in Conflict Analysis: A Systematic Review and Bibliometrics Research[J]. Journal of Intelligent & Fuzzy Systems, 2021, 41(6): 5835-5846. |
66 | Hipel K W, Fang Liping, Kilgour D M. The Graph Model for Conflict Resolution: Reflections on Three Decades of Development[J]. Group Decision and Negotiation, 2020, 29(1): 11-60. |
67 | Fang Liping, Hipel K W. Looking Back on Decision Making Under Conditions of Conflict[M]//Kilgour D M, Eden C. Handbook of Group Decision and Negotiation. Cham: Springer International Publishing, 2021: 1-21. |
68 | Hipel K W, Fang Liping. The Graph Model for Conflict Resolution and Decision Support[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(1): 131-141. |
69 | Howard N. Confrontation Analysis: How to Win Operations Other Than War[M]. Washington, DC, USA: CCRP Publications, 1999. |
70 | Bennett P G. Games and Dramas: Rationality and Emotion[J]. Mershon International Studies Review, 1996, 40(S1): 171-175. |
71 | Bryant J. Conflict Evolution: Tracking the Middle East Conflict With Drama Theory[J]. Group Decision and Negotiation, 2014, 23(6): 1263-1279. |
72 | Bryant J W. Acting Strategically Using Drama Theory[M]. Boca Raton: CRC Press, 2015. |
73 | Curry J, Ruggiero D, Sabin P, et al. Modelling the Outcomes of International Crises Using Confrontation Analysis[J]. Simulation & Gaming, 2017, 48(3): 314-328. |
74 | Curry J, Young M, Perla P P. The Confrontation Analysis Handbook: How to Resolve Confrontations by Eliminating Dilemmas. Innovations in Wargaming[M]. Bristol, UK: History of Wargaming Project, 2017. |
75 | Smith R, Howard N, Tait A. Commanding Anti-terrorist Coalitions: A Mid-east Illustration[EB/OL]. [2022-10-19]. . |
76 | Crannell M, Howard N, Norwood G W, et al. A C2 System for 'Winning Hearts and Minds': Tools for Confrontation and Collaboration Analysis[EB/OL]. [2023-01-18]. . |
77 | Bennett P G. Toward a Theory of Hypergames[J]. Omega, 1977, 5(6): 749-751. |
78 | Howard N. Soft Game Theory[J]. Information and Decision Technologies, 1990, 16(3): 215-227. |
79 | Fraser N M, Hipel K W. Conflict Analysis: Models and Resolutions[M]. New York: North-Holland, 1984. |
80 | Howard N. Drama Theory and Its Relation to Game Theory. Part 1: Dramatic Resolution vs. Rational Solution[J]. Group Decision and Negotiation, 1994, 3(2): 187-206. |
81 | Howard N. Drama Theory and Its Relation to Game Theory. Part 2: Formal Model of the Resolution Process[J]. Group Decision and Negotiation, 1994, 3(2): 207-235. |
82 | Zhang Ziqian, Yuan Lei, Li Lihe, et al. Fast Teammate Adaptation in the Presence of Sudden Policy Change[EB/OL]. (2023-05-10) [2023-05-10]. . |
83 | Yu Chao, Yang Xinyi, Gao Jiaxuan, et al. Asynchronous Multi-agent Reinforcement Learning for Efficient Real-time Multi-robot Cooperative Exploration[EB/OL]. [2023-01-09]. . |
84 | Zhang Bin, Li Lijuan, Xu Zhiwei, et al. Inducing Stackelberg Equilibrium Through Spatio-temporal Sequential Decision-making in Multi-agent Reinforcement Learning[EB/OL]. [2023-04-20]. . |
85 | 南江霞, 王盼盼, 李登峰. 非合作-合作两型博弈的Shapley值纯策略纳什均衡解求解方法[J]. 中国管理科学, 2021, 29(5): 202-210. |
Jiangxia Nan, Wang Panpan, Li Dengfeng. A Solution Method for Shapley-based Equilibrium Strategies of Biform Games[J]. Chinese Journal of Management Science, 2021, 29(5): 202-210. | |
86 | Kovach N S, Gibson A S, Lamont G B. Hypergame Theory: A Model for Conflict, Misperception, and Deception[J]. Game Theory, 2015, 2015: 570639. |
87 | 罗俊仁, 张万鹏, 苏炯铭, 等.多智能体博弈学习研究进展[J/OL]. 系统工程与电子技术. (2022-06-27) [2022-09-22]. . |
Luo Junren, Zhang Wanpeng, Su Jiongming, et al. Research Progress of Multi-agent Game Theoretic Learning[J]. Systems Engineering and Electronics. (2022-06-27) [2022-09-22]. . | |
88 | Wellman M P. Methods for Empirical Game-theoretic Analysis[C]//Proceedings of the 21st National Conference on Artificial Intelligence. Palo Alto, CA, USA: AAAI Press, 2006: 1552-1555. |
89 | Muller P, Omidshafiei S, Rowland M, et al. A Generalized Training Approach for Multiagent Learning[C]//ICLR 2020 Conference Blind Submission. New York, USA: ICLR, 2020: 1-26. |
90 | McAleer S, Lanier J B, Wang K A, et al. XDO: A Double Oracle Algorithm for Extensive-form Games[C]//Advances in Neural Information Processing Systems. San Francisco, CA, USA: Curran Associates, Inc., 2021: 23128-23139. |
91 | Nagy B. Two Gaps That Need to Be Filled in Order to Trust AI in Complex Battle Scenarios[R]. Monterey, CA: Acquisition Research Program, 2022: 87-109. |
92 | 李彭伟, 李亚钊. 面向事件画像的事理图谱构建方法[J]. 指挥信息系统与技术, 2021, 12(5): 54-60, 69. |
Li Pengwei, Li Yazhao. Event Logic Graph Construction Method for Event Profile[J]. Command Information System and Technology, 2021, 12(5): 54-60, 69. | |
93 | 王继昌. 俄罗斯在叙利亚军事行动的主要经验[J]. 中国军事科学, 2016(3): 119-126. |
Wang Jichang. Main Experience of Russia's Military Operations in Syria[J]. China Military Science, 2016(3): 119-126. | |
94 | 彭勇, 张淼, 许凯, 等. 建模与仿真服务化研究综述[J/OL]. 自动化学报. (2023-03-28) [2023-04-02]. . |
Peng Yong, Zhang Miao, Xu Kai, et al. Overview of Servitization of Modeling and Simulation[J/OL]. Acta Automatica Sinica. (2023-03-28) [2023-04-02]. . | |
95 | 吴琳, 胡晓峰, 陶九阳, 等. 面向智能成长的兵棋推演生态系统[J]. 系统仿真学报, 2021, 33(9): 2048-2058. |
Wu Lin, Hu Xiaofeng, Tao Jiuyang, et al. Wargaming Eco-system for Intelligence Growing[J]. Journal of System Simulation, 2021, 33(9): 2048-2058. | |
96 | 林旺群, 李妍, 罗海龙, 等. 面向全域联合作战指挥控制系统总体框架设计[J]. 指挥与控制学报, 2022, 8(1): 14-22. |
Lin Wangqun, Li Yan, Luo Hailong, et al. Overall Framework Design of Command and Control System for All-domain Joint Operations[J]. Journal of Command and Control, 2022, 8(1): 14-22. | |
97 | 杨贵民, 班晓娟, 唐炜, 等. 面向战略博弈系统的案例库设计与实现[C]//第三十二届中国控制会议论文集. 西安: 中国自动化学会控制理论专业委员会, 中国系统工程学会, 2013: 1984-1989. |
Yang Guimin, Ban Xiaojuan, Tang Wei, et al. The Design and Realization of Case Database Oriented to Gaming System[C]//Proceedings of the 32nd Chinese Control Conference. Xi'an: Control Theory Professional Committee of China Association of Automation, Chinese Society of Systems Engineering, 2013: 1984-1989. | |
98 | Li Zixuan, Jin Xiaolong, Li Wei, et al. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning[C]//Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: Association for Computing Machinery, 2021: 408-417. |
99 | Turnitsa C, Blais C, Tolk A. Simulation and Wargaming[M]. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2022. |
100 | 王亮, 权磊, 陈泱. SWOT分析法在军事博弈中的应用研究[J]. 舰船电子工程, 2021, 41(3): 5-9. |
Wang Liang, Quan Lei, Chen Yang. Research on the Application of SWOT Method in Military Game[J]. Ship Electronic Engineering, 2021, 41(3): 5-9. | |
101 | Sandole D J D, Byrne S, Sandole-Staroste I, et al. Handbook of Conflict Analysis and Resolution[M]. London: Routledge, 2008. |
102 | 郑少秋, 梁汝鹏, 吴浩, 等. 人机共生作战决策系统:发展愿景与关键技术[J]. 火力与指挥控制, 2022, 47(7): 1-6, 13. |
Zheng Shaoqiu, Liang Rupeng, Wu Hao, et al. Human-machine Symbiosis Combat Decision-making System: Development Vision and Key Technologies[J]. Fire Control & Command Control, 2022, 47(7): 1-6, 13. | |
103 | Johnson B, Miller M S, Green M J M, et al. Game Theory and Prescriptive Analytics for Naval Wargaming Battle Management Aids[R]. Monterey, CA: Naval Postgraduate School, 2022: 1-61. |
104 | Lee A. An Exploration of Wargame Methodologies: Manual Adjudication, Data Collection and Analysis[R]. Dartmouth, Nova Scotia: Centre for Operationa Research and Anaysis, 2020: 1-13. |
105 | Xu Haiyan, Hipel K W, Kilgour D M, et al. Conflict Resolution Using the Graph Model: Strategic Interactions in Competition and Cooperation[M]. Cham: Springer International Publishing, 2018. |
106 | 黄美根, 王维平, 王涛, 等. 基于EC2的无人化作战体系云流化指控架构设计方法[J]. 系统工程与电子技术, 2022, 44(11): 3413-3422. |
Huang Meigen, Wang Weiping, Wang Tao, et al. EC2-based Architecture Design Method of Cloud-flow C2 for Unmanned Combat SoS[J]. Systems Engineering and Electronics, 2022, 44(11): 3413-3422. | |
107 | Waytowich N, Barton S L, Lawhern V, et al. Grounding Natural Language Commands to StarCraft II Game States for Narration-guided Reinforcement Learning[C]//Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. Bellingham, WA, USA: SPIE, 2019: 110060S. |
108 | Badalyan R S, Graham A D, Nixt M W, et al. Application of An Artificial Intelligence-enabled Real-time Wargaming System for Naval Tactical Operations[EB/OL]. (2022-09-20) [2023-01-21]. . |
109 | 邱志明, 李恒, 周玉芳, 等. 模拟仿真技术及其在训练领域的应用综述[J]. 系统仿真学报, 2023, 35(6): 1131-1143. |
Qiu Zhiming, Li Heng, Zhou Yufang, et al. Summary of Simulation Technology and Its Application in Training Field[J]. Journal of System Simulation, 2023, 35(6): 1131-1143. | |
110 | 杨洋, 况琨, 陈政聿, 等. 基于端云协同体系的预训练大模型及其服务化[J]. 人工智能, 2022(6): 103-120. |
111 | Li Zixuan, Guan Saiping, Jin Xiaolong, et al. Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning[EB/OL]. (2022-03-20) [2023-02-10]. . |
112 | Ward M D, Beger A, Cutler J, et al. Comparing GDELT and ICEWS Event Data[J]. Analysis, 2013, 21(1): 267-297. |
113 | Davis P K, Bracken P. Artificial Intelligence for Wargaming and Modeling[J/OL]. The Journal of Defense Modeling and Simulation. (2022-02-08) [2023-01-25]. . |
114 | Zhao Y, MacKinnon D J. Leverage ai to Learn, Optimize, and Wargame (LAILOW) for Strategic Laydown and Dispersal (SLD) of the Operating Forces of the Us Navy[R]. Monterey, CA: Acquisition Research Program, 2023: 287-295. |
115 | 吉祥, 蒋锴, 成海东. 全域作战指挥信息系统总体架构及核心支柱[J]. 指挥与控制学报, 2023, 9(2): 225-232. |
Ji Xiang, Jiang Kai, Cheng Haidong. Architecture and Core Pillars of All-domain Operation Command Information System[J]. Journal of Command and Control, 2023, 9(2): 225-232. | |
116 | 张大永, 杨镜宇, 马骏, 等. 面向兵棋推演复盘分析的机器学习数据集构建[J/OL].系统仿真学报. (2023-02-16) [2023-08-02]. . |
Zhang Dayong, Yang Jingyu, Ma Jun, et al. Construction of Machine Learning Data Set for the Analysis of the Replay of the Wargaming[J]. Journal of System Simulation. (2023-02-16) [2023-08-02]. . | |
117 | 罗俊仁, 张万鹏, 苏炯铭, 等. 面向智能博弈的决策Transformer方法综述[J]. 指挥与控制学报, 2023, 9(1): 9-22. |
Luo Junren, Zhang Wanpeng, Su Jiongming, et al. On Decision-making Transformer Methods for Intelligent Gaming[J]. Journal of Command and Control, 2023, 9(1): 9-22. |
[1] | 张大永, 杨镜宇, 吴曦. 兵棋推演空中任务智能预测方法研究[J]. 系统仿真学报, 2023, 35(1): 212-220. |
[2] | 罗俊仁, 张万鹏, 袁唯淋, 胡振震, 陈少飞, 陈璟. 面向多智能体博弈对抗的对手建模框架[J]. 系统仿真学报, 2022, 34(9): 1941-1955. |
[3] | 柴慧敏, 张勇, 李欣粤, 宋雅楠. 基于深度学习的空中目标威胁评估方法[J]. 系统仿真学报, 2022, 34(7): 1459-1467. |
[4] | 徐佳乐, 张海东, 赵东海, 倪晚成. 基于卷积神经网络的陆战兵棋战术机动策略学习[J]. 系统仿真学报, 2022, 34(10): 2181-2193. |
[5] | 吴曦, 孟祥林, 杨镜宇. 下一代战略博弈推演系统研究[J]. 系统仿真学报, 2021, 33(9): 2017-2024. |
[6] | 吴琳, 胡晓峰, 陶九阳, 贺筱媛. 面向智能成长的兵棋推演生态系统[J]. 系统仿真学报, 2021, 33(9): 2048-2058. |
[7] | 汪宝, 高林杰, 隽志才. 基于避险时间的交织区车辆换道冲突分析[J]. 系统仿真学报, 2018, 30(9): 3306-3311. |
[8] | 刘海洋, 唐宇波, 胡晓峰, 乔广鹏. 基于兵棋推演的联合作战方案评估框架研究[J]. 系统仿真学报, 2018, 30(11): 4115-4123. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||