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Using relational concept knowledge to improve search in referral networks

Published:10 May 2009Publication History

ABSTRACT

The notion of referral networks, as presented in the work of Singh and Yolum, and their application to knowledge management, lacks two fundamental aspects; the relation of concepts within a domain, and the ability of an agent to dynamically change their interests based on suggestions in the form of concept relations. This paper introduces the concept of an oracle agent, which is an agent with relational concept knowledge that can supply suggestions to a querying agent on how to adapt their interests. These new features allow agents to search in new ways so as to achieve superior results and as a consequence outperform agents in a traditional referral network.

References

  1. Yolum, P.,&Singh, M. P. (2003). Emergent Properties of Referral Systems. Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, 592--599. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Salton, G.,&McGill, M. J. (1983). An Introduction to Modern Information Retrieval. New York: McGraw-Hill. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Yolum, P.,&Singh, M. P. (2004). Engineering Self-Organizing Referral Networks for Trustworthy Service Selection. IEEE Transactions on systems, man, and cybernetics, 1--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Yolum, P.,&Singh, M. P. (2002). An Agent-Based Approach for Trustworthy Service Location. Lecture Notes in Artificial Intelligence, 45--56.Google ScholarGoogle Scholar

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  1. Using relational concept knowledge to improve search in referral networks

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    • Published in

      cover image Guide Proceedings
      AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
      May 2009
      730 pages
      ISBN:9780981738178

      Publisher

      International Foundation for Autonomous Agents and Multiagent Systems

      Richland, SC

      Publication History

      • Published: 10 May 2009

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      • research-article

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      Overall Acceptance Rate1,155of5,036submissions,23%
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