Evolutionary games on graphs

By György Szabó, Gábor Fáth. 2006

2,729 citations recorded by the source corpus.

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.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/981070ec4cd4584a46cfc05116dd6d906d6af622

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In Management Science and Operations Research

  1. Matjaz Perc
  2. Attila Szolnoki
  3. Zhen Wang
  4. Martin A. Nowak
  5. David G. Rand
  6. Benjamin Allen
  7. Duanbing Chen
  8. Yu-Ting Chen

In Sociology and Political Science

  1. Matjaz Perc
  2. Attila Szolnoki
  3. Zhen Wang
  4. David G. Rand
  5. Martin A. Nowak
  6. Stefano Boccaletti
  7. Benjamin Allen
  8. Jesús Gómez-Gardeñes

In Statistical and Nonlinear Physics

  1. Matjaz Perc
  2. Attila Szolnoki
  3. Tao Zhou
  4. Zhen Wang
  5. Linyuan Lu
  6. Duanbing Chen
  7. Yi-Cheng Zhang
  8. Qian-Ming Zhang

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