Bayesian learning leads to correlated equilibria in normal form games

Research output: Contribution to journalArticle

Abstract

Consider an infinitely repeated normal form game where each player is characterized by a "type" which may be unknown to the other players of the game. Impose only two conditions on the behavior of the players. First, impose the Savage (1954) axioms; i.e., each player has some beliefs about the evolution of the game and maximizes its expected payoffs at each date given those beliefs. Second, suppose that any event which has probability zero under one player's beliefs also has probability zero under the other player's beliefs. We show that under these two conditions limit points of beliefs and of the empirical distributions (i.e., sample path averages or histograms) are correlated equilibria of the "true" game (i.e., the game characterized by the true vector of types).

Original languageEnglish (US)
Pages (from-to)821-841
Number of pages21
JournalEconomic Theory
Volume4
Issue number6
DOIs
StatePublished - Nov 1994

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Correlated equilibrium
Normal form games
Bayesian learning
Empirical distribution
Axioms

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Bayesian learning leads to correlated equilibria in normal form games. / Nyarko, Yaw.

In: Economic Theory, Vol. 4, No. 6, 11.1994, p. 821-841.

Research output: Contribution to journalArticle

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