Abstract
Evolutionary game theory provides an appropriate tool for investigating the competition and diffusion of behavioral traits in biological or social populations. A core challenge in evolutionary game theory is the strategy selection problem: Given two strategies, which one is favored by the population? Recent studies suggest that the answer depends not only on the payoff functions of strategies but also on the interaction structure of the population. Group interactions are one of the fundamental interactive modes within populations. This work aims to investigate the strategy selection problem in evolutionary game dynamics on group interaction networks. In detail, the strategy selection conditions are obtained for some typical networks with group interactions. Furthermore, the obtained conditions are applied to investigate selection between cooperation and defection in populations. The conditions for evolution of cooperation are derived for both the public goods game and volunteer’s dilemma game. Numerical experiments validate the above analytical results.
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This work was supported by the Fundamental Research Funds for the Central Universities, the National Natural Science Foundation of China under Grants 61304151 and Grants 61304157, and the Science Foundation of Henan University under Grants 2012YBZR007.
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Tan, S., Feng, S., Wang, P. et al. Strategy Selection in Evolutionary Game Dynamics on Group Interaction Networks. Bull Math Biol 76, 2785–2805 (2014). https://doi.org/10.1007/s11538-014-0031-y
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DOI: https://doi.org/10.1007/s11538-014-0031-y