I-FGM - Information retrieval in highly dynamic search spaces

Eugene Santos, Eunice E. Santos, Hien Nguyen, Long Pan, John Korah, Qunhua Zhao, Morgan Pittkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationIntelligent Computing
Subtitle of host publicationTheory and Applications IV
StatePublished - Sep 14 2006
Externally publishedYes
EventIntelligent Computing: Theory and Applications IV - Kissimmee, FL, United States
Duration: Apr 17 2006Apr 18 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceIntelligent Computing: Theory and Applications IV
Country/TerritoryUnited States
CityKissimmee, FL


  • Distributed information retrieval
  • Dynamic information space
  • Geospatial information retrieval
  • Multi-agent systems
  • Parallel information retrieval
  • Retrieval performance

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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