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
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Englisch
- Erschienen in
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Journal: Games ; ISSN: 2073-4336 ; Volume: 9 ; Year: 2018 ; Issue: 4 ; Pages: 1-24 ; Basel: MDPI
- Klassifikation
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Wirtschaft
- Thema
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Multidimensional Bayesian game
multigame
type space partition
Prisoner's Dilemma
Trust Game
- Ereignis
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Geistige Schöpfung
- (wer)
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Edalat, Abbas
Ghorban, Samira Hossein
Ghoroghi, Ali
- Ereignis
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Veröffentlichung
- (wer)
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MDPI
- (wo)
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Basel
- (wann)
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2018
- DOI
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doi:10.3390/g9040085
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Edalat, Abbas
- Ghorban, Samira Hossein
- Ghoroghi, Ali
- MDPI
Entstanden
- 2018