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

作者：

Highlights：

• A novel stochastic strategy update rule based on the Pairwise Fermi rule is proposed.

• The update rule significantly enhances network reciprocity.

• The update rule presumes a non-local, averaged payoff difference for a focal agent and one of their neighbors.

• The update rule allows expansion of the cooperative cluster, leading to enhanced network reciprocity.

摘要

•A novel stochastic strategy update rule based on the Pairwise Fermi rule is proposed.•The update rule significantly enhances network reciprocity.•The update rule presumes a non-local, averaged payoff difference for a focal agent and one of their neighbors.•The update rule allows expansion of the cooperative cluster, leading to enhanced network reciprocity.

论文关键词：Evolutionary game on networks,Prisoner's dilemma,Network reciprocity,Gaming neighborhood,Strategy-adaptation neighborhood

论文评审过程：Available online 22 June 2019, Version of Record 22 June 2019.

论文官网地址：https://doi.org/10.1016/j.amc.2019.05.034