Stochastic evolution with slow learning

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...

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Библиографические подробности
Главный автор: Beggs, A
Формат: Working paper
Опубликовано: University of Oxford 2000
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Stochastic Evolution with Slow Learning. по Beggs, A

Опубликовано 2002
Journal article
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Stochastic Evolution with Slow Learning. по Beggs, A

Опубликовано 2000
Working paper