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Metabolism of Social System: N-Person Iterated Prisoner’s Dilemma Analysis In Random Boolean Network

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  • Hokky Situngkir

    (Bandung Fe Institute)

  • Deni Khanafiah

    (Bandung Fe Institute)

Abstract

Random Boolean Network has been used to find out regulation patterns of genes in organism. This approach is very interesting to use in a game such as N-Person Prisoner’s Dilemma. Here we assume that agent’s action is influenced by input in the form of choices of cooperate or defect she accepted from other agent or group of agents in the system. Number of cooperators, pay-off value received by each agent, and average value of the group, are observed in every state, from initial state chosen until it reaches its state-cycle attractor. In simulation performed here, we gain information that a system with large number agents based on action on input K equals to two, will reach equilibrium and stable condition over strategies taken out by its agents faster than higher input, that is K equals to three. Equilibrium reached in longer interval, yet it is stable over strategies carried out by agents.

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File URL: http://128.118.178.162/eps/game/papers/0405/0405002.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Game Theory and Information with number 0405002.

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Length: 14 pages
Date of creation: 04 May 2004
Date of revision:
Handle: RePEc:wpa:wuwpga:0405002

Note: Type of Document - pdf; pages: 14
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Web page: http://128.118.178.162

Related research

Keywords: evolutionary game theory; N-Person Prisoner’s Dilemma; cooperation; social stability; Random Boolean Network; Transition Rule;

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  1. Frank Schweitzer & Laxmidhar Behera & Heinz Mühlenbein, 2002. "Evolution Of Cooperation In A Spatial Prisoner'S Dilemma," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 269-299.
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