Simulation Analysis Using Multi-Agent Systems for Social Norms
Computational Economics 34 巻 1 号
37-65 頁
2009-03-12 発行
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| ファイル情報(添付) | |
| タイトル ( eng ) |
Simulation Analysis Using Multi-Agent Systems for Social Norms
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| 作成者 |
Nishizaki Ichiro
Oyama Toshihisa
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| 収録物名 |
Computational Economics
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| 巻 | 34 |
| 号 | 1 |
| 開始ページ | 37 |
| 終了ページ | 65 |
| 抄録 |
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.
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| 著者キーワード |
Social norms
Reputation
Simulation
Adaptive agents
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| NDC分類 |
数学 [ 410 ]
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| 言語 |
英語
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| 資源タイプ | 学術雑誌論文 |
| 出版者 |
Springer
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| 発行日 | 2009-03-12 |
| 権利情報 |
Copyright (c) 2009 Springer
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| 出版タイプ | Author’s Original（十分な品質であるとして、著者から正式な査読に提出される版） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
The original publication is available at www.springerlink.com
[ISSN] 0927-7099
[DOI] 10.1007/s10614-009-9170-x
[NCID] AA10883684
[DOI] http://dx.doi.org/10.1007/s10614-009-9170-x
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