社会規範に関する分析のためのエージェントベースシミュレーション

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Title ( jpn )
社会規範に関する分析のためのエージェントベースシミュレーション
Title ( eng )
Agent-based simulation for analyzing social norms
Creator
Oyama Toshihisa
Source Title
広島大学大学院工学研究科研究報告
Bulletin of the Graduate School of Engineering, Hiroshima University
Volume 55
Issue 1
Start Page 1
End Page 18
Abstract
With existence of the social custom or norm, 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 prisoners7 dilemma could be escaped. In this paper, by an agent-based simulation model in which artificial adaptive agents have mechanisms of decision making and learning based on nueral networks and genetic algorithms, we compare the results from our simulation model with those from the mathematical model by Naylor. Especially, while Naylor's model is based on rationality about maximization of individual utility, our agent-base simulation model employs adaptive behavior,i.e.,agents make decisions by trial and error and learn from experiences to make better decisions.
Keywords
Social norms
reputaion
simulation
adaptive agents
NDC
Mathematics [ 410 ]
Language
jpn
Resource Type departmental bulletin paper
Publisher
広島大学大学院工学研究科
Date of Issued 2006-12
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 1347-7218
[NCID] AA11700032