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Ex Post Nash Equilibrium in Linear Bayesian Games for Decision Making in Multi-Environments

Abbas Edalat (), Samira Hossein Ghorban () and Ali Ghoroghi ()
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Abbas Edalat: Department of Computing, Imperial College London, London SW7 2RH, UK
Samira Hossein Ghorban: School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Lavasani Av., P.O. Box 19395-5746, Tehran, Iran
Ali Ghoroghi: Department of Computing, Imperial College London, London SW7 2RH, UK

Games, 2018, vol. 9, issue 4, 1-24

Abstract: We show that a Bayesian game where the type space of each agent is a bounded set of m -dimensional vectors with non-negative components and the utility of each agent depends linearly on its own type only is equivalent to a simultaneous competition in m basic games which is called a uniform multigame. The type space of each agent can be normalised to be given by the ( m − 1 ) -dimensional simplex. This class of m -dimensional Bayesian games, via their equivalence with uniform multigames, can model decision making in multi-environments in a variety of circumstances, including decision making in multi-markets and decision making when there are both material and social utilities for agents as in the Prisoner’s Dilemma and the Trust Game. We show that, if a uniform multigame in which the action set of each agent consists of one Nash equilibrium inducing action per basic game has a pure ex post Nash equilibrium on the boundary of its type profile space, then it has a pure ex post Nash equilibrium on the whole type profile space. We then develop an algorithm, linear in the number of types of the agents in such a multigame, which tests if a pure ex post Nash equilibrium on the vertices of the type profile space can be extended to a pure ex post Nash equilibrium on the boundary of its type profile space in which case we obtain a pure ex post Nash equilibrium for the multigame.

Keywords: Multidimensional Bayesian game; multigame; type space partition; Prisoner’s Dilemma; Trust Game (search for similar items in EconPapers)
JEL-codes: C C7 C70 C71 C72 C73 (search for similar items in EconPapers)
Date: 2018
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