Learning in Bayesian Games with Binary Actions.

This paper considers a simple adaptive learning rule in Bayesian games with binary actions where players employ threshold strategies. Global convergence results are given for supermodular games and potential games. If there is a unique equilibrium, players’ strategies converge almost surely to it. E...

詳細記述

書誌詳細
第一著者: Beggs, A
フォーマット: Journal article
言語:English
出版事項: Berkley Electronic Press 2009