Effective decision making by self-evaluation in the multi-agent environment

Satoshi Kurihara, Kensuke Fukuda, Shihya Sato, Toshiharu Sugawara

研究成果: Conference contribution

抄録

Generally, in multi-agent systems, there are close relations between behavior of each individual agent and the group of agents as a whole, so a certain information about the relative state of each agent in the group may be hided in each agent behavior. If this information can be extracted, each agent has the possibility to improve its state by seeing only its own behavior without seeing other agents' behaviors. In this paper, we focus on "power-law" which is interesting character seen in the behavior of each node of various kinds of networks as one of such information. Up to now, we have already found that power-law can be seen in the efficiently behaving agents in Minority Game which is the competitive multi-agent simulation environment. So, in this paper we have verified whether it is possible for each agent in the game to improve its state by seeing only its own behavior, and confirmed that the performance gain was actually possible.

本文言語English
ホスト出版物のタイトルInternet and Network Economics - First International Workshop, WINE 2005, Proceedings
ページ631-640
ページ数10
DOI
出版ステータスPublished - 2005 12 1
外部発表はい
イベント1st International Workshop on Internet and Network Economics, WINE 2005 - Hong Kong, China
継続期間: 2005 12 152005 12 17

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)
3828 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other1st International Workshop on Internet and Network Economics, WINE 2005
国/地域China
CityHong Kong
Period05/12/1505/12/17

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(全般)

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