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Proceedings Paper

I-FGM: information retrieval in highly dynamic search spaces
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Paper Abstract

Intelligent foraging, gathering and matching (I-FGM) has been shown to be an effective tool for intelligence analysts who have to deal with large and dynamic search spaces. I-FGM introduced a unique resource allocation strategy based on a partial information processing paradigm which, along with a modular system architecture, makes it a truly novel and comprehensive solution to information retrieval in such search spaces. This paper provides further validation of its performance by studying its behavior while working with highly dynamic databases. Results from earlier experiments were analyzed and important changes have been made in the system parameters to deal with dynamism in the search space. These changes also help in our goal of providing relevant search results quickly and with minimum wastage of computational resources. Experiments have been conducted on I-FGM in a realistic and dynamic simulation environment, and its results are compared with two other control systems. I-FGM clearly outperforms the control systems.

Paper Details

Date Published: 4 May 2006
PDF: 12 pages
Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 622901 (4 May 2006); doi: 10.1117/12.666334
Show Author Affiliations
Eugene Santos, Dartmouth College (United States)
Eunice E. Santos, Virginia Polytechnic Institute and State Univ. (United States)
Hien Nguyen, Univ. of Wisconsin/Whitewater (United States)
Long Pan, Virginia Polytechnic Institute and State Univ. (United States)
John Korah, Virginia Polytechnic Institute and State Univ. (United States)
Qunhua Zhao, Dartmouth College (United States)
Morgan Pittkin, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 6229:
Intelligent Computing: Theory and Applications IV
Kevin L. Priddy; Emre Ertin, Editor(s)

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