兵棋智能体兵力协同动态联盟形成方法

doi:10.16182/j.issn1004731x.joss.24-0058

系统仿真学报 ›› 2025, Vol. 37 ›› Issue (5): 1188-1196.doi: 10.16182/j.issn1004731x.joss.24-0058

兵棋智能体兵力协同动态联盟形成方法

姚昌华¹, 毕珊宁¹, 马茹飞², 余晓晗³, 李家强¹, 陈金立¹

^1.南京信息工程大学电子与信息工程学院，江苏南京 210044
^2.陆军工程大学基础部，江苏南京 210007
^3.陆军工程大学指挥控制工程学院，江苏南京 210007

收稿日期:2024-01-15 修回日期:2024-03-13 出版日期:2025-05-20 发布日期:2025-05-23
通讯作者: 毕珊宁
第一作者简介:姚昌华(1983-)，男，教授，博士，研究方向为群体智能对抗。
基金资助:
国家自然科学基金(61971439);江苏省自然科学基金(BK20191329)

Method for Dynamic Coalition Formation of Wargame Agent for Force Cooperation

Yao Changhua¹, Bi Shanning¹, Ma Rufei², Yu Xiaohan³, Li Jiaqiang¹, Chen Jinli¹

^1.School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
^2.Foundation department, Army Engineering University, Nanjing 210007, China
^3.Command and Control Engineering Colleague, Army Engineering University, Nanjing 210007, China

Received:2024-01-15 Revised:2024-03-13 Online:2025-05-20 Published:2025-05-23
Contact: Bi Shanning

摘要/Abstract

摘要：

针对战术级兵棋对抗场景中多智能体动态对抗的协同任务联盟形成与调整问题，综合考虑目标价值、任务分配和算子特点等多种因素下执行不同类型任务的收益和代价，进行针对性兵力协同调整，提出了一种基于行为约束的多智能体动态任务联盟形成调整方法。以中科院“庙算·智胜即时策略人机对抗平台”陆军战术对抗兵棋为实验平台进行对抗性实验，实验证明所提方法提升了异构多智能体在系统对抗过程中的动态协同能力，提升了对抗胜率。

关键词: 多智能体, 兵棋对抗, 联盟博弈, 任务分配, 智能化兵棋

Abstract:

Regarding the issue of cooperative task alliance formation and adjustment in multi-agent dynamic confrontation scenarios at the tactical level, this method comprehensively considers factors such as target value, task allocation, and operator characteristics, as well as the benefits and costs of executing different types of tasks. we propose a targeted force coordination adjustment for dynamic task alliance formation based on behavioral constraints. The $“$ MiaoSuan-Wise Winning Instant Strategy Human-Computer Confrontation Platform $”$ of Chinese Academy of Sciences (CAS) is used as an experimental platform to conduct confrontation experiments. The experiment demonstrates that the proposed method improves the dynamic coordination ability of heterogeneous multi-agents during the system confrontation process, thereby enhancing the confrontation success rate.

Key words: multi-agent systems, wargame confrontation, alliance game, task allocation, intelligent wargame

中图分类号:

TP18

姚昌华,毕珊宁,马茹飞等 . 兵棋智能体兵力协同动态联盟形成方法[J]. 系统仿真学报, 2025, 37(5): 1188-1196.

Yao Changhua,Bi Shanning,Ma Rufei,et al . Method for Dynamic Coalition Formation of Wargame Agent for Force Cooperation[J]. Journal of System Simulation, 2025, 37(5): 1188-1196.

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阵营	棋子类型	车(班)数	分值	初始位置
红	重型坦克	3	30	2 041
红	重型战车	3	21	2 041
红	无人战车	3	20	2 041
红	步兵	3	12	3 144
红	无人机	1	1	1 851
红	炮兵	3	0	1 547
红	巡飞弹	4	0	2 041
蓝	重型坦克	3	30	3 516
蓝	重型战车	3	21	3 416
蓝	无人战车	3	15	3 315
蓝	步兵	3	12	3 315
蓝	炮兵	3	0	4 508
蓝	无人机	1	1	4 318

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兵棋智能体兵力协同动态联盟形成方法

Method for Dynamic Coalition Formation of Wargame Agent for Force Cooperation

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