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• W2034180170 abstract "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 mutation rates small does not in general select a unique equilibrium but making selection strong does." @default.
• W2034180170 created "2016-06-24" @default.
• W2034180170 creator A5073383417 @default.
• W2034180170 date "2002-02-01" @default.
• W2034180170 modified "2023-09-25" @default.
• W2034180170 title "Stochastic evolution with slow learning" @default.
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• W2034180170 doi "https://doi.org/10.1007/pl00004218" @default.
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