Dynamic aspiration based on Win-Stay-Lose-Learn rule in spatial prisoner's dilemma game

Zhenyu Shi1,2,3,4, Wei Wei1,2,3,4, Xiangnan Feng1,2,3,4

  • 1School of Mathematical Sciences, Beihang University, Beijing, China.

Plos One
|January 4, 2021
PubMed
Summary

This study introduces a dynamic aspiration model for the spatial prisoner's dilemma game, showing how changing aspirations influence cooperation. Dynamic aspiration offers a better explanation of evolutionary game dynamics than fixed models.

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