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交互式动态影响图及其精确求解算法
引用本文:李波,曹浪财,庄进发.交互式动态影响图及其精确求解算法[J].解放军理工大学学报,2011(2):119-124.
作者姓名:李波  曹浪财  庄进发
作者单位:厦门大学信息科学与技术学院;厦门东南融通系统工程有限公司;解放军信息工程大学通信与信息学院;
基金项目:国家自然科学基金资助项目(60975052)
摘    要:为了表示部分可观察马尔可夫环境下,多Agent决策中各Agent之间的动态结构关系,对影响图(IDs)在结构和时间上进行扩展,形成一种能够对其他Agent建模的决策模型:交互式动态影响图(I-DIDs).I-DIDs是不确定环境下多Agent进行序贯决策的图模型.该模型的解是在对其Agent行为概率分布的预测下提供给该...

关 键 词:多Agent决策  交互式动态影响图  行为等价  最小模型更新集

Interactive dynamic influence diagrams and exact solution algorithm
LI Bo,CAO Lang-cai and ZHUANG Jin-fa.Interactive dynamic influence diagrams and exact solution algorithm[J].Journal of PLA University of Science and Technology(Natural Science Edition),2011(2):119-124.
Authors:LI Bo  CAO Lang-cai and ZHUANG Jin-fa
Institution:LI Bo1,CAO Lang-cai1,ZHUANG Jin-fa2,3(1.Department of Automation,Xiamen University,Xiamen 361005,China,2.South East Combination System Engineering Co. Ltd,3.Department of Communication and Information,PLA Information Engineering University,Zhengzhou 450002,China)
Abstract:To represent the dynamic relationship between agents in multi-agent Markov decision process with partially observable settings shared by other agents,the interactive dynamic influence diagrams(I-DIDs) were presented by extending influence diagrams(IDs) over time and structure.I-DIDs are graphical models for sequential decision making in partially observable setting shared by other agents.It may be used to compute the policy of an agent given its belief as the agent acts and observes in the setting. Exact al...
Keywords:multi-Agent decision  interactive dynamic influence diagrams(I-DIDs)  behaviorally equivalent  minimal updating sets  
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