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

Rahul Singh
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Rahul Singh: University of North Carolina at Greensboro, USA

International Journal of Intelligent Information Technologies (IJIIT), 2007, vol. 3, issue 1, 37-60

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.

Date: 2007
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