<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Several behavioral game theory models aim at explaining why “smarter“ people win more frequently in simultaneous zero-sum games, a phanomenon, which is not explained by the Nash equilibrium concept. We use a computational model and a numerical simulation based on Markov chains to describe player behavior and predict payoffs.</p></abstract>

Several behavioral game theory models aim at explaining why “smarter“ people win more frequently in simultaneous zero-sum games, a phanomenon, which is not explained by the Nash equilibrium concept. We use a computational model and a numerical simulation based on Markov chains to describe player behavior and predict payoffs.

A computational model of outguessing in two-player non-cooperative games

Acta Universitatis Sapientiae, Informatica

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

{"article-title":"A computational model of outguessing in two-player non-cooperative games"}

Several behavioral game theory models aim at explaining why “smarter“ people win more frequently in simultaneous zero-sum games, a phanomenon, which is not...

A computational model of outguessing in two-player non-cooperative games

Online veröffentlicht: 27. Juni 2014

Seitenbereich: 71 - 88

Eingereicht: 16. Feb. 2014

DOI: https://doi.org/10.2478/ausi-2014-0019

Schlüsselwörter
computational game theory, non-cooperative games, outguessing, Markov chains, reasoning, communication networks

© 2014

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

A computational model of outguessing in two-player non-cooperative games

Online veröffentlicht: 27. Juni 2014

Seitenbereich: 71 - 88

Eingereicht: 16. Feb. 2014

DOI: https://doi.org/10.2478/ausi-2014-0019

Schlüsselwörtercomputational game theory, non-cooperative games, outguessing, Markov chains, reasoning, communication networks

© 2014

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Schlüsselwörter
computational game theory, non-cooperative games, outguessing, Markov chains, reasoning, communication networks