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A Multi-Agent Decision Support Architecture for Knowledge Representation and Exchange

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  • Rahul Singh

    (University of North Carolina at Greensboro, USA)

Abstract

Organizations rely on knowledge-driven systems for delivering problem-specific knowledge over Internet-based distributed platforms to decision-makers. Recent advances in systems support for problem solving have seen increased use of artificial intelligence (AI) techniques for knowledge representation in multiple forms. This article presents an Intelligent Knowledge-based Multi-agent Decision Support Architecture” (IKMDSA) to illustrate how to represent and exchange domain-specific knowledge in XML-format through intelligent agents to create, exchange and use knowledge in decision support. IKMDSA integrates knowledge discovery and machine learning techniques for the creation of knowledge from organizational data; and knowledge repositories (KR) for its storage management and use by intelligent software agents in providing effective knowledge-driven decision support. Implementation details of the architecture, its business implications and directions for further research are discussed.

Suggested Citation

  • Rahul Singh, 2007. "A Multi-Agent Decision Support Architecture for Knowledge Representation and Exchange," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 3(1), pages 37-60, January.
    • Handle: RePEc:igg:jiit00:v:3:y:2007:i:1:p:37-60
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