  Random Boolean Network has been used to find out regulation patterns of genes
in organism. his approach is very interesting to use in a game such as N Person
PD. Here we assume that action is influenced by input in the form of choices of
cooperate or defect he 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 pay off, 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.
