Extended balancing ontological and operational factors in refining multiagent neighborhood using ACO

Lee Chee Yean, Lim Tong Ming, Lay Ki Soon

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Abstract

In this paper, we present our work extended balancing ontological and operational factors using Ant Colony Optimization (ACO) in building collaborations within multiagent neighborhoods. This innovation overcomes the previous version's problem on better collaboration among agents, reducing message flooding, increase scalability and resolved the "hidden boundary" problem. The domain of application is multiagent, distributed information retrieval, where agents safeguarding their own information or data resources, improve their local services by collaborating with others. Information retrieval is like a food finding for ants. Foods are not always available at the same location and there might be a better location with more foods. Same thing apply to information. In this paper, we adopted ACO as our agent's collaboration technique to enhance the previous work.

Original languageEnglish
Title of host publicationProceedings 2010 International Symposium on Information Technology - System Development and Application and Knowledge Society, ITSim'10
Pages1398-1400
Number of pages3
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventInternational Symposium on Information Technology 2010 - Kuala Lumpur, Malaysia
Duration: 15 Jun 201017 Jun 2010
Conference number: 4th

Publication series

NameProceedings 2010 International Symposium on Information Technology - System Development and Application and Knowledge Society, ITSim'10
Volume3

Conference

ConferenceInternational Symposium on Information Technology 2010
Abbreviated titleITSim 2010
CountryMalaysia
CityKuala Lumpur
Period15/06/1017/06/10

Keywords

  • Agent coordination
  • Ant colony optimization
  • Information retrieval
  • Multiagent

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