Skip to main navigation Skip to search Skip to main content

Aspiration-based coevolution of node weights promotes cooperation in the spatial prisoner's dilemma game

  • Chen Chu
  • , Chunjiang Mu
  • , Jinzhuo Liu
  • , Chen Liu
  • , Stefano Boccaletti
  • , Lei Shi
  • , Zhen Wang
  • Yunnan University of Finance and Economics
  • Northwestern Polytechnical University Xian
  • Yunnan University
  • Key Laboratory in Software Engineering of Yunnan Province
  • National Research Council of Italy

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

Coevolution is considered as an effective means to optimize the conditions for the survival of cooperation. In this work, we propose a coevolution rule between individuals' node weights and aspiration, and then explore how this mechanism affects the evolution of cooperation in the spatial prisoner's dilemma game. We show that there is an optimistic amplitude of node weights that guarantees the survival of cooperation even when temptation to antisocial behavior is relatively large. An explanation is provided from a microscopic point of view by dividing nodes into four different types. What is interesting, our coevolution rule results in spontaneous emergence of cyclic dominance, where defectors with low weight become cooperators by imitating cooperators with high weight.

Original languageEnglish
Article number063024
JournalNew Journal of Physics
Volume21
Issue number6
DOIs
StatePublished - 17 Jun 2019

Keywords

  • Coevolution
  • Cooperation
  • Cyclic dominance
  • Social dilemma

Fingerprint

Dive into the research topics of 'Aspiration-based coevolution of node weights promotes cooperation in the spatial prisoner's dilemma game'. Together they form a unique fingerprint.

Cite this