論文

査読有り 筆頭著者
2007年

Dynamic social simulation with multi-agents having internal dynamics

NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE
  • Takashi Sato
  • ,
  • Takashi Hashimoto

3609
開始ページ
237
終了ページ
+
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
出版者・発行元
SPRINGER-VERLAG BERLIN

In this paper, we discuss a viewpoint to regard individuals in a society as cognitive agents having internal dynamics, in order to study the dynamic nature of social structures. Internal dynamics is the autonomous changes of an agent's internal states that govern his/her behavior. We first discuss the benefit of introducing internal dynamics into a model of humans and the dynamics of society. Then we propose a simple recurrent network with self-influential connection (SRN-SIC) as a model of an agent with internal dynamics. We report the results of our simulation in which the agents play a minority game. In the simulation, we observe the dynamics of the game as a macro structure itinerating among various dynamical states such as fixed points and periodic motions via aperiodic motions. This itinerant change of the macro structures is shown to be induced by the internal dynamics of the agents.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000246026800021&DestApp=WOS_CPL
ID情報
  • ISSN : 0302-9743
  • Web of Science ID : WOS:000246026800021

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