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ID 27684
file
title alternative
Agent-Based Simulation Analysis for Network Formation
creator
Kambara, Rika
Nishizaki, Ichiro
subject
network formation
agent-based simulation
decision making
neural network
NDC
Electrical engineering
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.
journal title
Bulletin of the Graduate School of Engineering, Hiroshima University
volume
Volume 58
issue
Issue 1
date of issued
2009
publisher
広島大学大学院工学研究科
issn
1347-7218
ncid
language
jpn
nii type
Departmental Bulletin Paper
HU type
Departmental Bulletin Papers
DCMI type
text
format
application/pdf
text version
publisher
department
Graduate School of Engineering
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