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...

詳細記述

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