What controls network reciprocity in the Prisoner's Dilemma game?

Atsuo Yamauchi, Jun Tanimoto, Aya Hagishima

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The evolutionary Prisoner's Dilemma game in structured networks has been studied extensively to understand network reciprocity. However, in some cases results of these studies cannot be compared because not only the network structures but also the network parameters, rules for updating strategies, and update dynamics differ among them. In this study, we investigated the effect of experimental conditions by conducting a series of systematic factorial experiments. We found that those experimental assumptions are significantly important in network reciprocity, although we confirmed that network reciprocity can be basically explained by the average degree of the network (Nowak, 2006; Ohtsuki et al., 2006).

Original languageEnglish
Pages (from-to)82-87
Number of pages6
JournalBioSystems
Volume102
Issue number2-3
DOIs
Publication statusPublished - Nov 1 2010

Fingerprint

Prisoner's Dilemma Game
Reciprocity
Experiments
Factorial Experiment
Evolutionary Game
Network Structure
Updating
Prisoner Dilemma
Update
Series

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Applied Mathematics

Cite this

What controls network reciprocity in the Prisoner's Dilemma game? / Yamauchi, Atsuo; Tanimoto, Jun; Hagishima, Aya.

In: BioSystems, Vol. 102, No. 2-3, 01.11.2010, p. 82-87.

Research output: Contribution to journalArticle

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