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Cited by 2,974

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Evolutionary games on graphs

Open access
Szabó, György, Fáth, Gábor·2007·Physics Reports
DOI 10.1016/j.physrep.2007.04.004
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Abstract

Abstract Game theory is one of the key paradigms behind many scientific disciplines from biology to behavioral sciences to economics. In its evolutionary form and especially when the interacting agents are linked in a specific social network the underlying solution concepts and methods are very similar to those applied in non-equilibrium statistical physics. This review gives a tutorial-type overview of the field for physicists. The first four sections introduce the necessary background in classical and evolutionary game theory from the basic definitions to the most important results. The fifth section surveys the topological complications implied by non-mean-field-type social network structures in general. The next three sections discuss in detail the dynamic behavior of three prominent classes of models: the Prisoner's Dilemma, the Rock–Scissors–Paper game, and Competing Associations. The major theme of the review is in what sense and how the graph structure of interactions can modify and enrich the picture of long term behavioral patterns emerging in evolutionary games.

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Metadata

Authors
Szabó, G., & Fáth, G.
Venue
Physics Reports
Publisher
Elsevier BV
Published
2007-07
Volume
446
Issue
4-6
Pages
97-216
ISSN
0370-1573 (ISSN-L)
DOI
10.1016/j.physrep.2007.04.004
OpenAlex
W1992195122
Cited by
2,974
References
27
FWCI
435.78
Type
journal article
Language
en
Open access
green

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