Bayesian Learning in Normal Form Games

@inproceedings{Jordan1989BayesianLI,
  title={Bayesian Learning in Normal Form Games},
  author={Jerome Scott Jordan},
  year={1989}
}
This paper studies myopic Bayesian learning processes for finite-player, finitestrategy normal form games. Initially, each player is presumed to know his own payoff function but not the payoff functions of the other players. Assuming that the common prior distribution of payoff functions satisfies independence across players, it is proved that the conditional distributions on strategies converge to a set of Nash equilibria with probability one. Under a further assumption that the prior… CONTINUE READING
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