Prior Independent Equilibria and Linear Multi-dimensional Bayesian Games
Abbas Edalat, Samira Hossein Ghorban

TL;DR
This paper introduces the concept of prior-independent equilibria in linear multi-dimensional Bayesian games, showing how certain types of these games can be simplified to basic n-agent games and providing new models for social and economic interactions.
Contribution
It establishes the equivalence of linearly dependent Bayesian games to multi-games and introduces the concept of type-regularity, expanding understanding of equilibrium independence from priors.
Findings
Bayesian strategy profiles are prior-independent if they are Nash equilibria of local deterministic games.
Linearly dependent utility functions lead to equivalence with basic n-agent games.
Two-dimensional own-type-linear Bayesian games can model social preferences and trust in economic interactions.
Abstract
We show that a Bayesian strategy map profile is a Bayesian Nash Equilibrium independent of any prior if and only if the Bayesian strategy map profile, evaluated at any type profile, is the Nash equilibrium of the so-called local deterministic game corresponding to that type profile. We call such a Bayesian game type-regular. We then show that an m-dimensional n-agent Bayesian game whose utilities are linearly dependent on the types of the agents is equivalent, following a normalisation of the type space of each agent into the (m-1)-simplex, to a simultaneous competition in nm so-called basic n-agent games. If the game is own-type-linear, i.e., the utility of each player only depends linearly on its own type, then the Bayesian game is equivalent to a simultaneous competition in m basic n-agent games, called a multi-game. We then prove that an own-type-linear Bayesian game is type-regular…
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Taxonomy
TopicsGame Theory and Applications · Experimental Behavioral Economics Studies · Economic theories and models
