ネットワーク形成に関するエージェントベースシミュレーション分析
広島大学大学院工学研究科研究報告 Volume 58 Issue 1
published_at 2009
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Title ( jpn ) |
ネットワーク形成に関するエージェントベースシミュレーション分析
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Title ( eng ) |
Agent-Based Simulation Analysis for Network Formation
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Creator |
Kambara Rika
Nishizaki Ichiro
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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
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Volume | 58 |
Issue | 1 |
Abstract |
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.
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Keywords |
network formation
agent-based simulation
decision making
neural network
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NDC |
Electrical engineering [ 540 ]
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Language |
jpn
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Resource Type | departmental bulletin paper |
Publisher |
広島大学大学院工学研究科
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Date of Issued | 2009 |
Publish Type | Version of Record |
Access Rights | open access |
Source Identifier |
[ISSN] 1347-7218
[NCID] AA11700032
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