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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Multi-Agent Architecture for Knowledge-Driven Decision Support

Multi-Agent Architecture for Knowledge-Driven Decision Support
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Author(s): Rahul Singh (University of North Carolina at Greensboro, USA)
Copyright: 2010
Pages: 19
Source title: Business Information Systems: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-61520-969-9.ch028

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Abstract

Organizations use knowledge-driven systems to deliver problem-specific knowledge over Internet-based distributed platforms to decision-makers. Increasingly, artificial intelligence (AI) techniques for knowledge representation are being used to deliver knowledge-driven decision support in multiple forms. In this chapter, we present an Architecture for knowledge-based decision support, delivered through a Multi-Agent Architecture. We illustrate how to represent and exchange domain-specific knowledge in XML-format through intelligent agents to create exchange and use knowledge to provide intelligent decision support. We show the integration of knowledge discovery techniques to create knowledge from organizational data; and knowledge repositories (KR) to store, manage and use data by intelligent software agents for effective knowledge-driven decision support. Implementation details of the architecture, its business implications and directions for further research are discussed.

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