Presentation | 2004/3/9 Classification of Resource Allocation Problems by Minority Games Kiyoshi IZUMI, Tomohisa YAMASHITA, Koichi KURUMATANI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, resource allocation problems are classified using the model called minority games which simplified resource selection. We prepared three kinds of agents from whom the efficiency and accuracy of a learning are different and compared acquired profit among these agents. Results showed that four distinct areas existed according to two conditions, the complexity of a whole system and the time restriction to a learning. And the actual resource allocation problems can be classified using which areas the problem belongs to. We found characteristics of agents in modeling resource allocation problems, according to the area where an actual resource allocation problem belongs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Minority game / Complexity / Multiagent systems / Learning |
Paper # | AI2003-90 |
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Committee | AI |
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Conference Date | 2004/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Classification of Resource Allocation Problems by Minority Games |
Sub Title (in English) | |
Keyword(1) | Minority game |
Keyword(2) | Complexity |
Keyword(3) | Multiagent systems |
Keyword(4) | Learning |
1st Author's Name | Kiyoshi IZUMI |
1st Author's Affiliation | Cyber Assist Research Center, AIST() |
2nd Author's Name | Tomohisa YAMASHITA |
2nd Author's Affiliation | Cyber Assist Research Center, AIST |
3rd Author's Name | Koichi KURUMATANI |
3rd Author's Affiliation | Cyber Assist Research Center, AIST |
Date | 2004/3/9 |
Paper # | AI2003-90 |
Volume (vol) | vol.103 |
Number (no) | 725 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |