Artikel

Ex post Nash equilibrium in linear Bayesian games for decision making in multi-environments

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.

Sprache
Englisch

Erschienen in
Journal: Games ; ISSN: 2073-4336 ; Volume: 9 ; Year: 2018 ; Issue: 4 ; Pages: 1-24 ; Basel: MDPI

Klassifikation
Wirtschaft
Thema
Multidimensional Bayesian game
multigame
type space partition
Prisoner's Dilemma
Trust Game

Ereignis
Geistige Schöpfung
(wer)
Edalat, Abbas
Ghorban, Samira Hossein
Ghoroghi, Ali
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2018

DOI
doi:10.3390/g9040085
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Edalat, Abbas
  • Ghorban, Samira Hossein
  • Ghoroghi, Ali
  • MDPI

Entstanden

  • 2018

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