The effect of conformity on the evolution of cooperation in multigame
| Autor: | Kaipeng Hu, Hao Guo, Yini Geng, Lei Shi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Value (ethics) education.field_of_study Computer science media_common.quotation_subject Population Statistical and Nonlinear Physics Prisoner's dilemma Network topology 01 natural sciences Conformity 010305 fluids & plasmas Microeconomics 0103 physical sciences Fraction (mathematics) 010306 general physics Robustness (economics) education Mechanism (sociology) media_common |
| Zdroj: | Physica A: Statistical Mechanics and its Applications. 516:267-272 |
| ISSN: | 0378-4371 |
| DOI: | 10.1016/j.physa.2018.10.012 |
| Popis: | In this paper, we investigate the effect of conformist on the evolution of cooperation in multigame. In particular, we divide the whole population into two groups. One side is payoff-driven player, who updates his strategy by learning. The other side is conformist-driven player, who adopts the most popular strategy. Simulation results show that there is an optimal value of fraction for conformist-driven players, where cooperation can be best promoted when b is small. However, cooperation will be impeded with the fraction of conformist-driven players when b is relatively large. For these results, we give some explanations from the perspective of clusters and strategy transition, and investigate the robustness of this mechanism on different topologies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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