A stochastic Pairwise Fermi rule modified by utilizing the average in payoff differences of neighbors leads to increased network reciprocity in spatial prisoner's dilemma games

Keisuke Nagashima, Jun Tanimoto

研究成果: ジャーナルへの寄稿記事

1 引用 (Scopus)

抄録

In a 2 × 2 prisoner's dilemma (PD) game, network reciprocity is one of the mechanisms for increasing social viscosity, which leads to a cooperative equilibrium. The Pairwise Fermi (PW-Fermi) rule has been accepted as an updating protocol, as its stochasticity is similar to the real-world human decision-making process. In this paper, we elucidated a modification to the PW-Fermi rule by utilizing the averaged payoff difference instead of the simple payoff difference between a focal agent and their neighbors. This led to a significantly enhanced level of network reciprocity. The mechanism of this enhancement is clarified by discussing the concepts of the enduring period (END) and the expanding period (EXP).

元の言語英語
ページ(範囲)661-669
ページ数9
ジャーナルApplied Mathematics and Computation
361
DOI
出版物ステータス出版済み - 11 15 2019

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Prisoner's Dilemma Game
Reciprocity
Pairwise
Decision making
Viscosity
Stochasticity
Updating
Enhancement
Decision Making
Concepts
Human

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics

これを引用

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