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Hierarchical Multi-agent Organization for Text Database Discovery

  • Yong S. Choi
  • Jaeho Lee
  • Suk I. Yoo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1733)

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.

Keywords

Communication Cost Relevance Feedback Hierarchical Organization Training Cost Training Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Yong S. Choi
    • 1
  • Jaeho Lee
    • 2
  • Suk I. Yoo
    • 1
  1. 1.AI Laboratory, Department of Computer ScienceSeoul National University Shilim-dongKwanak-guKorea
  2. 2.Department of Electrical EngineeringThe University of SeoulTongdaemun-guKorea

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