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Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/ Non-Adaptive Agent Selection

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Emergent Intelligence of Networked Agents

Part of the book series: Studies in Computational Intelligence ((SCI,volume 56))

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References

  1. Chow, KP, Kwok, YK (2002) On Load Balancing for Distributed Multiagent Computing. IEEE Transactions on Parallel and Distributed Systems 13(8) 787-801

    Article  Google Scholar 

  2. Dimakopoulos, V, Pitoura, E. (2003) Performance Analysis of Distributed Search in Open Agent Systems. In: Proceedings of International Parallel and Distributed Processing Symposium (IPDPS’03)

    Google Scholar 

  3. Mehra, T, Wah, BW (1993) Population-based learning of load balancing policies for a distributed computer system. In: Proceedings of Computing in Aerospace 9 Conference. 1120-1130

    Google Scholar 

  4. Mirchandany, R, Stankovic, J (1986) Using stochastic learning automata for job scheduling in distributed processing systems. Journal of Parallel and Distributed Computing 38(11) 1513-1525

    Google Scholar 

  5. Paxson, V, Floyd, S (1995) Wide-Area Traffic: The Failure of Poisson Modeling. IEEE/ACM Transactions on Networking 3(3) 226-244

    Article  Google Scholar 

  6. Schaerf, A, Shoham, Y, Tennenholtz, M (1995) Adaptive Load Balancing: A Study in Multi-Agent Learning. Journal of Artificial Intelligence Research 2 475-500

    MATH  Google Scholar 

  7. Sugawara, T, Kurihara, S, Hirotsu, T, Fukuda, K, Sato, S, Akashi, O (2006) Total Performance by Local Agent Selection Strategies in Multi-Agent Systems. In: Proceedings of 5th Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS2006)

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  8. Sugawara, T, Kurihara, S, Hirotsu, T, Fukuda, K, Sato, S, Akashi, O (2006) Adaptive Agent Selection in Large-Scale Multi-Agent Systems. In: Proceedings of the Ninth Pacific Rim International Conference on Artificial Intelligence (PRICAI06)

    Google Scholar 

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Author information

Authors and Affiliations

  1. NTT Communication Science Laboratories, 243-0198, Kanagawa, Japan

    Toshiharu Sugawara

  2. National Institute of Informatics, 101-8430, Tokyo, Japan

    Kensuke Fukuda

  3. Toyohashi University of Technology, 441-8580, Aichi, Japan

    Toshio Hirotsu

  4. NTT Network Innovation Laboratories, 180-8585, Tokyo, Japan

    Shin-ya Sato

  5. Osaka University, 567-0047, Osaka, Japan

    Dr. Satoshi Kurihara

Authors
  1. Toshiharu Sugawara
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  2. Kensuke Fukuda
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  3. Toshio Hirotsu
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  4. Shin-ya Sato
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  5. Dr. Satoshi Kurihara
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Editor information

Editors and Affiliations

  1. Department of Computer Science, National Defense Academy, 1-10-20, Hashirimizu, 239-8686, Yokosuka, Japan

    Akira Namatame

  2. Graduate School of Information Science and Technology, Osaka University, 8-1 Mihogaoka Ibaraki, 567-0047, Osaka, Japan

    Satoshi Kurihara

  3. Future University-Hakodate, 116-2 Kamedanakano-cho Hakodate, 041-8655, Hokkaido, Japan

    Hideyuki Nakashima

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© 2007 Springer-Verlag Berlin Heidelberg

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Sugawara, T., Fukuda, K., Hirotsu, T., Sato, Sy., Kurihara, S. (2007). Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/ Non-Adaptive Agent Selection. In: Namatame, A., Kurihara, S., Nakashima, H. (eds) Emergent Intelligence of Networked Agents. Studies in Computational Intelligence, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71075-2_17

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  • DOI: https://doi.org/10.1007/978-3-540-71075-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71073-8

  • Online ISBN: 978-3-540-71075-2

  • eBook Packages: EngineeringEngineering (R0)

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