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ID 27684
本文ファイル
別タイトル
Agent-Based Simulation Analysis for Network Formation
著者
神原 李佳
西﨑 一郎
キーワード
network formation
agent-based simulation
decision making
neural network
NDC
電気工学
抄録(英)
In the mathematical models for network formation by Bala and Goyal(2000), it is shown that a star network is the strict Nash equilibrium. However, the result of the experiments in a laboratory using human subjects by Berninghaus et al.(2007) basing on the model of Bala and Goyal indicates that players reach a strict Nash equilibrium and deviate it. In this paper, an agent-based simulation model in which artificial adaptive agents have mechanisms of decision making and learning based on nueral networks and genetic algorithms is constructed, and we provide that one of the reason of the deviation from the strict Nash equilibrium in the experiments by Berninghaus et al. is that the players have mechanisms of decision making by trial and error and with a long-term view.
掲載誌名
広島大学大学院工学研究科研究報告
58巻
1号
出版年月日
2009
出版者
広島大学大学院工学研究科
ISSN
1347-7218
NCID
言語
日本語
NII資源タイプ
紀要論文
広大資料タイプ
学内刊行物(紀要等)
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
publisher
部局名
工学研究科
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