Simulation Analysis Using Multi-Agent Systems for Social Norms

Authors:
Ichiro Nishizaki;Hideki Katagiri;Toshihisa Oyama
Affiliations:
Department of Artificial Complex Systems Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan 739-8527;Department of Artificial Complex Systems Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan 739-8527;Department of Artificial Complex Systems Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan 739-8527
Venue:
Computational Economics
Year:
2009

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Abstract

With the existence of the social customs or norms, Naylor demonstrates a possibility of stable long-run equilibria of support for a strike in a labor market, and this implies that at least some individuals will behave cooperatively and hence the prisoners' dilemma could be escaped. In this paper, using an agent-based simulation model in which artificial adaptive agents have mechanisms of decision making and learning based on neural networks and genetic algorithms, we compare the results of our simulation analysis with that of the mathematical model by Naylor. In particular, while Naylor's model is based on rationality as it relates to individual utility maximization, agents behave adaptively in our agent-based simulation model; agents make decisions by trial and error, and they learn from experiences to make better decisions.