首页|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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Considering the dynamic character of repeated games and Markov process, this paper presented a novel dy-namic decision model for symmetric repeated games. In this model, players' actions were mapped to a Markov decision process with payoffs, and the Bohzmann distribution was introdueed. 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.
game theoryevolutionary gamerepeated gameVlarkov processdecision model
Liu Weibing、Wang Xianjia、Wang Guangmin
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Institute of Systems Engineering, Wuhan University, Wuhan 430072 , China
School of Management, China University Of Geosciences,Wuhan 430074 ,China
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