Steady State Learning and Nash Equilibrium

The authors study the steady states of a system in which players learn about the strategies their opponents are playing by updating their Bayesian priors in light of their observations. Players are matched.at random to play a fixed extensive-form game and each player observes the realized actions in his own matches but not the intended off-path play of his opponents or the realized actions in other matches. Because players are assumed to live finite lives, there are steady states in which learning continually takes place. If lifetimes are long and players are very patient, the steady state distribution of actions approximates those of a Nash equilibrium. Copyright 1993 by The Econometric Society.(This abstract was borrowed from another version of this item.)