A Novel Dynamic Decision Model in 2-player Symmetric Repeated Games

A Novel Dynamic Decision Model in 2-player Symmetric Repeated Games

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摘要 Considering the dynamic character of repeated games and Markov process, this paper presented a novel dynamic decision model for symmetric repeated games. In this model, players＇ actions were mapped to a Markov decision process with payoffs, and the Boltzmann distribution was intousluced. Our dynamic model is different from others＇ , we used this dynamic model to study the iterated prisoner＇ s dilemma, and the results show that this decision model can successfully be used in symmetric repeated games and has an ability of adaptive learning.

作者 Liu Weibing Wang Xianjia Wang Guangmin

机构地区 Institute of Systems Engineering School of Management

出处《Engineering Sciences》 EI 2008年第1期43-46,共4页 中国工程科学（英文版）

基金 We also acknowledge the support by the National Natural Science Foundation of China （Grant No. 60574071）.

关键词 game theory evolutionary game repeated game Markov process decision model 动态决策模型重复博弈对称球员马尔可夫决策过程马尔可夫过程玻尔兹曼分布动态模型

分类号 F224.32 [经济管理—国民经济] TE357 [石油与天然气工程—油气田开发工程]

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A Novel Dynamic Decision Model in 2-player Symmetric Repeated Games

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