Various error settings bring different noise-driven effects on network reciprocity in spatial prisoner's dilemma

Muntasir Alam, Keisuke Nagashima, Jun Tanimoto

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In view of stochastic resonance effect, this paper reports what type of additional noise can draw more enhanced network reciprocity in spatial prisoner's dilemma (SPD) games presuming different underlying networks as well as strategy updating rules. Relying on a series of simulations comprehensively designed, we explored various noise models namely action error, copy error, observation error, by either placing random agents or biased agents and variant settings of those. We found that the influence by adding noise significantly differs depending on the type of noise as well as the combination of what underlying network and update rule are presumed. Action error when added to SPD games presuming deterministic updating rule shows relatively large enhancement for cooperation.

Original languageEnglish
Pages (from-to)338-346
Number of pages9
JournalChaos, solitons and fractals
Volume114
DOIs
Publication statusPublished - Sep 2018

Fingerprint

Prisoners' Dilemma
Reciprocity
Prisoner's Dilemma Game
Updating
Stochastic Resonance
Biased
Enhancement
Update
Series
Simulation

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematics(all)
  • Physics and Astronomy(all)
  • Applied Mathematics

Cite this

Various error settings bring different noise-driven effects on network reciprocity in spatial prisoner's dilemma. / Alam, Muntasir; Nagashima, Keisuke; Tanimoto, Jun.

In: Chaos, solitons and fractals, Vol. 114, 09.2018, p. 338-346.

Research output: Contribution to journalArticle

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