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Spatial Games Based on Pursuing the Highest Average Payoff
Authors:YANG Han-Xin  WANG Bing-Hong  WANG Wen-Xu  RONG Zhi-Hai
Affiliation:Department of Modern Physics, University of Science and Technology of China, Hefei 23002Department of Electronic Engineering, Arizona State University, Tempe, Arizona 85287-5706, USAComplex Networks and Control Lab, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240
Abstract:We propose a strategy updating mechanism based on pursuing the highest average payoff to investigate the prisoner's dilemma game and the snowdrift game. We apply the new rule to investigate cooperative behaviours on regular, small-world, scale-free networks, and find spatial structure can maintain cooperation for the prisoner's dilemma game. In the snowdrift game, spatial structure can inhibit or promote cooperative behaviour which depends on payoff parameter. We further study cooperative behaviour on scale-free network in detail. Interestingly, non-monotonous behaviours observed on scale-free network with middle-degree individuals have the lowest cooperation level. We also find that large-degree individuals change their strategies more frequently for both games..
Keywords:87  23  87" target="_blank">Kg')">87  23  Kg  02  50  Le  87  23  Ge   89" target="_blank">')"> 89  75  Cc
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