Hierarchical multi-agent organization for text database discovery

Yong Choi, Jaeho Lee, Suk Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationApproaches to Intelligent Agents - 2nd Pacific Rim International Workshop on Multi-Agents, PRIMA 1999, Proceedings
EditorsHideyuki Nakashima, Chengqi Zhang
PublisherSpringer Verlag
Number of pages13
ISBN (Print)3540668233, 9783540668237
StatePublished - 1999
Event2nd Pacific Rim International Workshop on Multi-Agents, PRIMA 1999 - Kyoto, Japan
Duration: 2 Dec 19993 Dec 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd Pacific Rim International Workshop on Multi-Agents, PRIMA 1999


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