On the stability of equilibria in incomplete information games under ambiguity
Author(s) -
Giuseppe De Marco,
Maria Romaniello
Publication year - 2013
Publication title -
applied mathematical sciences
Language(s) - English
Resource type - Journals
eISSN - 1314-7552
pISSN - 1312-885X
DOI - 10.12988/ams.2013.35254
Subject(s) - ambiguity , complete information , stability (learning theory) , mathematical economics , stochastic game , prior probability , space (punctuation) , mathematics , computer science , bayesian probability , artificial intelligence , machine learning , programming language , operating system
In this paper, we look at the (Kajii and Ui) mixed equilibrium notion, which has been recognized by previous literature as a natural solution concept for incomplete information games in which players have multiple priors on the space of payoff relevant states. We investigate the problem of stability of mixed equilibria with respect to perturbations on the sets of multiple priors. We find out that the (Painleve-Kuratowski) convergence of posteriors ensures that stability holds; whereas, convergence of priors is not enough to obtain stability since it does not always implies convergence of posteriors when we consider updating rules (for multiple priors) based on the classical Bayesian approach.
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