Comprehensive consideration of strategy updating promotes cooperation in the prisoner's dilemma game

Ya Li, Xin Lan, Xinyang Deng, Rehan Sadiq, Yong Deng

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

We investigate how the cooperation emerges in the square lattice when individuals play the prisoner's dilemma game by adopting different strategy updating methods. First, we classify individuals in two classes at the strategy updating stage: stochastic players and smart players. The stochastic players are those who take the classical Fermi rule, while the smart players are those who make comprehensive evaluation for strategy updating. Second, we adopt Dempster-Shafer theory to combine smart players' evaluations from payoff and environment aspects. Simulation results reveal that the comprehensive strategy updating method has a positive impact on the emergence of cooperation. Furthermore, the number of cooperators increases with the proportion of smart player increase. However, it is noteworthy that defector never become extinct, even all players in the network are smart ones. This is because some smart players would maximize their payoff if they choose to betray their cooperative neighbors. Our work in this paper may provide further understanding of the origin of cooperation in social and biology systems.

Original languageEnglish
Pages (from-to)284-292
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Volume403
DOIs
StatePublished - 1 Jun 2014
Externally publishedYes

Keywords

  • Dempster-Shafer theory
  • Evolutionary game theory
  • Prisoner's dilemma
  • Square lattice

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