期刊
PHYSICAL REVIEW E
卷 80, 期 4, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.80.046109
关键词
biology computing; cooperative systems; evolution (biological); game theory
资金
- China Scholarship Council [2008100772]
- National Natural Science Foundation of China (NSFC) [60674050, 60736022, 10972002]
- National 973 Program [2002CB312200]
- National 863 Program [2006AA04Z258]
- [A2120061303]
We present a mode of myopically selective interaction to study the evolutionary prisoner's dilemma game in scale-free networks. Each individual has a reputation-based tolerance range and only tends to interact with the neighbors whose reputation is within its tolerance range. Moreover, its reputation is assessed in response to the interactions in the neighborhood. Interestingly, we show that moderate values of tolerance range can result in the best promotion of cooperation due to the emergence of group selection mechanism. Furthermore, we study the effects of weighting factor in the assessment rule of reputation on the evolution of cooperation. We also show how cooperation evolves in some extended situations, where an interaction stimulus payment is considered for individuals, and where the strategy and reputation of individuals can spread simultaneously. Our results may enhance the understanding of evolutionary dynamics in graph-structured populations where individuals conditionally play with their neighbors according to some myopic selection criteria.
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