Agent Organization system for Multi-agent based Network Management
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- Terauchi Atsushi
- NTT Network Innovation Labs. Graduate School of Information, Production and Systems, Waseda University
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- Akashi Osamu
- NTT Network Innovation Labs.
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- Maruyama Mitsuru
- NTT Network Innovation Labs.
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- Sugawara Toshiharu
- Graduate School of Fundamental Science and Engineering, Waseda University
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- Fukuda Kensuke
- National Institute of Informatics
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- Hirotsu Toshio
- Toyohashi University of Technology
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- Kurihara Satoshi
- Osaka University
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- Koyanagi Keiichi
- Graduate School of Information, Production and Systems, Waseda University
Bibliographic Information
- Other Title
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- 広域ネットワークに対応したマルチエージェント組織化支援システム
- コウイキ ネットワーク ニ タイオウシタ マルチエージェント ソシキカ シエン システム
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Abstract
An agent organization system for multi-agent based network management, called ARTISTE, is proposed. For a multi-agent system (MAS) to solve problems effectively, it is important to organize agents appropriately. Organizing agents adaptively on the Internet, however, is not easy, because the status of the Internet changes dynamically in a short time and no one can have a complete view of the whole network. The aims of ARTISTE are to form an agent organization in accordance with the current Internet and its problem-solving context and to provide organizational information for target MASs. ARTISTE operates as an independent system with respect to any MAS. To organize agents, ARTISTE collects information about agents' abilities and statuses, network information such as topologies, and a problem-dependent requirement from a target MAS. ARTISTE is designed as an MAS, and it can collect the information about the network and the target MAS from multiple observation points. Furthermore, ARTISTE agents exchange their own local information in order to create a more global view of the network and the distribution of the agents. Our performance evaluation showed that ARTISTE works with sufficient performance for use in the actual Internet environment.
Journal
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- Transactions of the Japanese Society for Artificial Intelligence
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Transactions of the Japanese Society for Artificial Intelligence 22 (5), 482-492, 2007
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390282680085361152
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- NII Article ID
- 10022007992
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- NII Book ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL BIB ID
- 9604192
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed