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基于影响网络与不完全信息多阶段博弈的作战行动序列模型及求解方法
引用本文:杜正军,陈超,姜鑫.基于影响网络与不完全信息多阶段博弈的作战行动序列模型及求解方法[J].国防科技大学学报,2012,34(3):63-67,84.
作者姓名:杜正军  陈超  姜鑫
作者单位:国防科技大学信息系统工程重点实验室,湖南长沙,410073
基金项目:国家自然科学基金资助项目,国防科技大学优秀研究生创新资助项目
摘    要:拟制作战计划的关键是生成作战行动序列.考虑作战行动过程中的不确定性以及激烈对抗性,以影响网络分析作战行动和战场态势之间的相互影响,用不完全信息博弈分析敌对双方之间的对抗,建立了基于影响网络和不完全信息多阶段博弈的作战行动序列模型,并给出了求解方法.通过计算实例说明了模型及其求解方法.结果显示该模型生成的COA更适应于对抗环境.

关 键 词:作战行动序列  影响网络  不完全信息多阶段博弈
收稿时间:2011/11/28 0:00:00

Modeling and solution method of course of action based on influence net and multi-stage games with incomplete information
DU Zhengjun,CHEN Chao and JIANG Xin.Modeling and solution method of course of action based on influence net and multi-stage games with incomplete information[J].Journal of National University of Defense Technology,2012,34(3):63-67,84.
Authors:DU Zhengjun  CHEN Chao and JIANG Xin
Institution:(Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology,Changsha 410073,China)
Abstract:The development of Course of Action(COA) is a key step of military planning.In most existing literature on COA development,the previous studies only take unilateral actions of friendly force into account.Considering the antagonism of war,we propose models that contain actions of both friendly and enemy force based on multi-stage games with incomplete information.Influence net is used to analyze the uncertain relationships between actions and battlefield situation.In the end,numerical examples are presented to illustrate the models and solution,showing that the COA developed in the current study is suitable for the antagonistic situation.
Keywords:course of action  influence net  multi-stage games with incomplete information
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