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

Agent-Based Simulation Analysis for Network Formation

神原 李佳

林田 智弘

西﨑 一郎

片桐 英樹

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

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.

network formation

agent-based simulation

decision making

neural network

電気工学 [ 540 ]

日本語

広島大学大学院工学研究科

[ISSN] 1347-7218

[NCID] AA11700032