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How collective intelligence emerge in complex environment?

  • Satoshi Kurihara
  • , Kensuke Fukuda
  • , Toshio Hirotsu
  • , Osamu Akashi
  • , Shinya Sato
  • , Toshiharu Sugawara

研究成果: Chapter

抄録

In this paper we analyze a simple adaptive model of competition called the Minority Game, which is used in analyzing competitive phenomena in markets. The Minority Game consists of many simple autonomous agents, and self-organization occurs as a result of simple behavior rules. Up to now, the dynamics of this game have been studied from various angles, but so far the focus has been on the macroscopic behavior of all the agents as a whole. We are interested in the mechanisms involved in collaborative behavior among multiple agents, so we focused our attention on the behavior of individual agents. In this paper, we suggest that the core elements responsible for forming self-organization are: (i) the rules place a good constraint each agent's behavior, and (ii) there is a rule that leads to indirect coordination. Moreover, we tried to solve the El Farol's bar problem based our suggestions.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Auke Jan Ijspeert, Masayuki Murata, Naoki Wakamiya
出版社Springer Verlag
ページ484-495
ページ数12
ISBN(印刷版)3540233393, 9783540233398
DOI
出版ステータスPublished - 2004
外部発表はい

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3141
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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