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Hierarchical Multi-agent Organization for Text Database Discovery

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Approaches to Intelligence Agents (PRIMA 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1733))

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Abstract

Agent approaches has been increasingly used within information technology to describe various computational entities. Especially, due to the proliferation of readily available text databases on the Web, agents have been often developed as the computational entities for discovering useful text databases on the Web. In this paper, we motivate the need for the hierarchical organization of those agents. The motivation is based on our experiences with the neural net agents for the text database discovery and an analysis of the tradeoff between the benefit of the hierarchical organization of agents and multi-agent coordination overhead. We first introduce the neural net agent and then motivate our multi-agent approach based on the hierarchical organization of neural net agents both analytically and experimentally.

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Author information

Authors and Affiliations

  1. AI Laboratory, Department of Computer Science, Seoul National University Shilim-dong, Kwanak-gu, Seoul, 151-742, Korea

    Yong S. Choi & Suk I. Yoo

  2. Department of Electrical Engineering, The University of Seoul, 90 Cheonnong-dong, Tongdaemun-gu, Seoul, 130-743, Korea

    Jaeho Lee

Authors
  1. Yong S. Choi
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  2. Jaeho Lee
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  3. Suk I. Yoo
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Editor information

Editors and Affiliations

  1. Electrotechnical Laboratories, Umezono 1-1-4, Tsukuba, Ibaraki, 305-0045, Japan

    Hideyuki Nakashima

  2. Deakin University Geelong, Scool of Computing and Mathematics, Victoria 3217, Australia

    Chengqi Zhang

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© 1999 Springer-Verlag Berlin Heidelberg

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Choi, Y.S., Lee, J., Yoo, S.I. (1999). Hierarchical Multi-agent Organization for Text Database Discovery. In: Nakashima, H., Zhang, C. (eds) Approaches to Intelligence Agents. PRIMA 1999. Lecture Notes in Computer Science(), vol 1733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46693-2_11

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  • DOI: https://doi.org/10.1007/3-540-46693-2_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66823-7

  • Online ISBN: 978-3-540-46693-2

  • eBook Packages: Springer Book Archive

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