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PubMed · 12005947

Adaptation and survivors in a random Boolean network.

Ikuo Nakamura
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Abstract

We introduce the competitive agent with imitation strategy in a random Boolean network, in which the agent plays a competitive game that rewards those in minority. After a long time interval, the worst performer changes its strategy to the one of the best and the process is repeated. The network, initially in a chaotic state, evolves to an intermittent state and finally reaches a frozen state. Time series of survived species (whose strategies are imitated by other agents) in the system depend on the connectivity of each agent. In a system with various connectivity groups, the low connectivity groups win the minority game over the high connectivity groups. We also compared the result with mutation strategy system.

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Adaptation, PsychologicalGames, ExperimentalModels, EconometricModels, PsychologicalNeural Networks, ComputerSocial SciencesSurvivorsJournal Article

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Ikuo Nakamura. 2002-04-04. Adaptation and survivors in a random Boolean network.. https://doi.org/10.1103/physreve.65.046128

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