The evolution of cooperation in multi-games with aspiration-driven updating rule
| Autor: | Zhi Long Deng, Qun Song, Ming yu Gao, Zheng Hong Deng, Yi Jie Huang, Tao Wu |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
General Mathematics Applied Mathematics Stochastic game ComputingMilieux_PERSONALCOMPUTING TheoryofComputation_GENERAL General Physics and Astronomy Statistical and Nonlinear Physics 01 natural sciences 010305 fluids & plasmas Reciprocity (social psychology) 0103 physical sciences 010301 acoustics Mathematical economics Diversity (business) |
| Zdroj: | Chaos, Solitons & Fractals. 128:313-317 |
| ISSN: | 0960-0779 |
| DOI: | 10.1016/j.chaos.2019.08.004 |
| Popis: | We introduce multi-games with aspiration-driven updating rule and investigate the evolution of cooperation. In our work, a percentage of players randomly choose to play the PDG, while the remaining players play SG. Meanwhile, a part of players randomly select to use the aspiration-driven updating rule, and the other part of players select to use the Fermi-function updating rule. We find that both the diversity of sucker's payoff and updating rule have a positive effect on the cooperation. Besides, when the contribution of the sucker's payoff is larger or more players use the aspiration-driven rule to update the strategy, more cooperators appear derived from the spatial distribution of strategies and special network reciprocity. What is more, when more players choose to play SG and simultaneously use the aspiration-driven rule, cooperators gradually flourish. In addition, we also reveal that the easily contented players prefer to cooperate. |
| Databáze: | OpenAIRE |
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