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

Satoshi Kurihara, Kensuke Fukuda, Shihya Sato, Toshiharu Sugawara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationInternet and Network Economics - First International Workshop, WINE 2005, Proceedings
Pages631-640
Number of pages10
DOIs
Publication statusPublished - 2005 Dec 1
Externally publishedYes
Event1st International Workshop on Internet and Network Economics, WINE 2005 - Hong Kong, China
Duration: 2005 Dec 152005 Dec 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3828 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Internet and Network Economics, WINE 2005
CountryChina
CityHong Kong
Period05/12/1505/12/17

Keywords

  • Indirect coordination
  • Minority game
  • Power law

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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