Bayesian games as stochastic processes (original) (raw)

International Journal of Game Theory, 1976

Abstract

This paper examines stochastic processes generated by sequential games each of whose “states” includes a distribution and whose up-dating rules for state transitions may include Bayes operators. General properties of discrete-time Markov processes are applied to specific games such as iterated matrix games, including Prisoners' Dilemma, and to a new model for the Asch experiments on conflict and conformity.

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