Dov Samet (Faculty of Management Tel Aviv University)
Abstract
The three notions studied here are Bayesian priors, invariant priors and introspection. A prior for an agent is Bayesian, if it agrees with the agent's posterior beliefs when conditioned on them. A prior is invariant, if it is the average, with respect to itself, of the posterior beliefs. Finally, an agent is introspective, if he is certain of his own beliefs. We show that a prior is Bayesian, if and only if it is invariant, and the agent is almost surely introspective. We show how to edogenize priors, and how to express the events that an agent has a Bayesian or invariant prior. Finally, we study properties of the endogenized common prior.
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Find related papers by JEL classification: C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory D8 - Microeconomics - - Information, Knowledge, and Uncertainty
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Matthew O. Jackson & Ehud Kalai & Rann Smorodinsky, 1997.
"Patterns, Types, and Bayesian Learning,"
Discussion Papers
1177, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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