TY  - UNPB
ID  - cogprints3494
UR  - http://cogprints.org/3494/
A1  - Situngkir, Hokky
A1  - Khanafiah, Deni
TI  - Metabolism of Social System: N-Person Iterated Prisoner?s Dilemma Analysis In Random Boolean Network
Y1  - 2003/11//
N2  - 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.
AV  - public
KW  - evolutionary game theory
KW  -  N-Person Prisoner?s Dilemma
KW  -  cooperation
KW  -  social stability
KW  -  Random Boolean Network
KW  -  Transition Rule
ER  -

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