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Local Minority Game with Evolutionary Strategies |
| YANG Wei-Song1;LI Ping2;ZOU Shan-Shan1;WANG Bing-Hong3 |
| 1Department of Physics, Jiangxi Science and Technology Teacher’s College, Nanchang 330013
2Department of Basic Sciences, Nanjing Institute of Technology, Nanjing 210013
3Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China Hefei 230026 |
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| Cite this article: |
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YANG Wei-Song, LI Ping, ZOU Shan-Shan et al 2006 Chin. Phys. Lett. 23 1961-1964 |
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Abstract We study a model of local minority game in the random Kauffman network with evolutionary strategies and propose three methods to update the strategy of poor agents, with lower points in a given generation: namely to update either the Boolean function of their strategies randomly, or their local information of randomly adjacent m agents, or the number m of randomly chosen adjacent agents. The results of extended numerical simulations show that the behaviour of strategies in the three methods may enhance significantly the entire coordination of agents in the system. It is also found that a poor agent tends to use both small m strategies and correlated strategies, and the strategies of agents will finally self-organize into a steady-state distribution for a long time playing of the game.
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02.50.Le
87.23.Ge
89.65.Gh
89.75.Hc
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Published: 01 August 2006
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| PACS: |
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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89.65.Gh
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(Economics; econophysics, financial markets, business and management)
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89.75.Hc
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(Networks and genealogical trees)
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