| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Evolutionary Prisoner's Dilemma Game Based on Pursuing Higher Average Payoff |
| LI Yu-Jian1, WANG Bing-Hong1,2,3, YANG Han-Xin1, LING Xiang4, CHEN Xiao-Jie5, JIANG Rui4 |
| 1Department of Modern Physics, University of Science and Technology of China, Hefei 2300262Shanghai Academy of System Science and University of Shanghai for Science and Technology, Shanghai 2000933Faculty of Science, Zhejiang Normal University, Jinhua 3210044School of Engineering Science, University of Science and Technology of China, Hefei 2300265Intelligent Control Laboratory, Center for Systems and Control, Department of Mechanics and Space Technologies, College of Engineering, Peking University, Beijing 100871 |
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LI Yu-Jian, WANG Bing-Hong, YANG Han-Xin et al 2009 Chin. Phys. Lett. 26 018701 |
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Abstract We investigate the prisoner's dilemma game based on a new rule: players will change their current strategies to opposite strategies with some probability if their neighbours' average payoffs are higher than theirs. Compared with the cases on regular lattices (RL) and Newman-Watts small world network (NW), cooperation can be best enhanced on the scale-free Barabási-Albert network (BA). It is found that cooperators are dispersive on RL network, which is different from previously reported results that cooperators will form large clusters to resist the invasion of defectors. Cooperative behaviours on the BA network are discussed in detail. It is found that large-degree individuals have lower cooperation level and gain higher average payoffs than that of small-degree individuals. In addition, we find that small-degree individuals more frequently change strategies than do large-degree individuals.
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87.23.Kg
02.50.Le
87.23.Ge
89.75.Fb
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Received: 11 June 2008
Published: 24 December 2008
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| PACS: |
87.23.Kg
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(Dynamics of evolution)
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02.50.Le
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(Decision theory and game theory)
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87.23.Ge
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(Dynamics of social systems)
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89.75.Fb
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(Structures and organization in complex systems)
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