The Exponential Convergence of Bayesian

-The support of the National Science Foundation is gratefully acknowledged. I would also like to thank Julio Escolano for numerous corrections to an earlier draft of this paper. Of course, any errors that remain are the sole responsibility of the author. This paper continues the study of Bayesian learning processes for general finite-player, finite-strategy normal form games. Bayesian learning was introduced in an earlier paper by the present author as an iterative mechanism by which players can learn Nash equilibria. The main result of the present paper is that if prior beliefs are sufficiently uniform and expectations converge to a "regular " Nash equilibrium, then the rate of con-vergence is exponential. 1