🤖 AI Summary
This paper addresses the existence of Bayesian equilibria in incomplete-information games without a common prior, specifically under mutually inconsistent beliefs among players. To overcome the restrictive nature of the standard common-prior assumption, we extend the measure-theoretic notion of absolute continuity—from information structures to belief systems—introducing a novel analytical framework based on *generalized belief absolute continuity*. This framework accommodates rich type spaces and infinite belief hierarchies, and rigorously establishes the existence of Bayesian equilibria without invoking a common prior. Our result generalizes the Milgrom–Weber theory of information structures and provides a foundational existence guarantee for Bayesian equilibria in games with complex, heterogeneous belief structures—such as those arising in financial markets and mechanism design.
📝 Abstract
We consider incomplete information finite-player games where players may hold mutually inconsistent beliefs without a common prior. We introduce absolute continuity of beliefs, extending the classical notion of absolutely continuous information in Milgrom and Weber (1985), and prove that a Bayesian equilibrium exists under broad conditions. Applying these results to games with rich type spaces that accommodate infinite belief hierarchies, we show that when the analyst's game has a type space satisfying absolute continuity of beliefs, the actual game played according to the belief hierarchies induced by the type space has a Bayesian equilibrium for a wide class of games. We provide examples that illustrate practical applications of our findings.