Stochastic evolution with slow learning

Stochastic evolution with slow learning

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This paper studies the extent to which diffusion approximations provide a reliable guide to equilibrium selection results in finite games. It is shown that they do for a class of finite games with weak learning provided that limits are taken in a certain order. The paper also shows that making mutat...

書誌詳細
第一著者:	Beggs, A
フォーマット:	Working paper
出版事項:	University of Oxford 2000

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