战术级兵棋实体作战行动智能决策方法  

Intelligent decision-making method of tactical-level wargames

作　　者：刘满 张宏军 郝文宁 程恺 王佳胤 LIU Man;ZHANG Hong-jun;HAO Wen-ning;CHENG Kai;WANG Jia-yin(College of Command and Control Engineering,Army Enginerrting University of PLA,Nanjing 210007,China)

机构地区：[1]陆军工程大学指挥控制工程学院,南京210007

出　　处：《控制与决策》2020年第12期2977-2985,共9页Control and Decision

基　　金：国家自然科学基金项目(61806221)。

摘　　要：战术级兵棋对抗系统结构严格、对抗性强,可以作为研究军事智能决策的一个推演平台.鉴于此,设计一个战术级兵棋实体作战行动智能决策模型框架,并在该框架指导下设计一款兵棋智能引擎.所设计引擎通过挖掘兵棋历史推演数据,提取棋子历史位置概率、夺控热度、观察度等评价属性,利用多属性综合评价软优选算法和兵棋基本规则决策出棋子的下步行动.实验结果表明,所提出引擎具有实时性强、灵活性高、可移植性好的优点,可以在兵棋机机对抗和人机对抗挑战赛中取得优异成绩.The tactical-level wargames system has strict structure and strong confrontation, which can be used as a deductive platform for studying military intelligent decision-making. In this paper, an intelligent action decision-making framework of tactical-level wargames is designed, and under the guidance of this framework an wargames intelligent engine is desinged. The engine utilizes a data mining method to extract evaluation attributes such as the historical position probability, the control degree and observation degree from the historical data of the wargames competition, and uses the multi-attribute comprehensive evaluation soft optimization algorithm and the wargames’ basic rules to decide actions.The experimental results show that the engine has the advantages of strong real-time performance, high flexibility and good portability, and has achieved excellent results in the machine-machine and human-machine challenge.

关 键 词：战术级兵棋 数据挖掘 多属性综合评价 智能引擎 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]