2004/04/16 by Hokky Situngkir, Situngkir, Hokky, Deni Khanafiah +1
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · Social Sciences · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #Evolutionary Game Theory and Cooperation #FOS: Physical sciences #Gene Regulatory Network Analysis #Opinion Dynamics and Social Influence #cond-mat.dis-nn
paper · pdf · doi:10.48550/arxiv.cond-mat/0404404
14 pages, 11 figures
arxiv created 2004/04/16 · openalex publication_date 2004/04/16 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.