Presentation 2004/3/9
Quantification of Interactive Behavior in Multiagent Systems
Noriko YANAGISAWA, Hidenori KAWAMURA, Masahito YAMAMOTO, Azuma OHUCHI,
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Abstract(in English) In most presented researches on multi agent systems, the macroscopic system performance is discussed with such specific measures as gain or achievement. These measures are still important, but when we observe the complex system, it is impossible to understand the essentials of its behavior only using these measures. Therefore we propose an analysis method with entropy and mutual information, the essential terms to analyze the complex system related to macroscopic characteristics. Consequently, we verify the validity of quantitative analysis using entropy and mutual information.
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Keyword(in English) Multi agent system / Entropy / Mutual information / Quantification of interaction
Paper # AI2003-93
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Committee AI
Conference Date 2004/3/9(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Quantification of Interactive Behavior in Multiagent Systems
Sub Title (in English)
Keyword(1) Multi agent system
Keyword(2) Entropy
Keyword(3) Mutual information
Keyword(4) Quantification of interaction
1st Author's Name Noriko YANAGISAWA
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Masahito YAMAMOTO
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
4th Author's Name Azuma OHUCHI
4th Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2004/3/9
Paper # AI2003-93
Volume (vol) vol.103
Number (no) 725
Page pp.pp.-
#Pages 6
Date of Issue