Information Technology Reference
In-Depth Information
Chapter II
Multi-Agent Architecture for
Knowledge-Driven Decision
Support
Rahul Singh
University of North Carolina at Greensboro, USA
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 knowl-
edge 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 soft-
ware agents for effective knowledge-driven decision support. Implementation details of the architecture,
its business implications and directions for further research are discussed.
introduction
Knowledge is an organizational asset that contributes to sustainable competitive advantage. This
explains the increasing interest organizations take in knowledge management (KM). Many organi-
zations are developing knowledge management systems (KMS), specifically designed to share and
integrate knowledge, as opposed to data or information, in decision support activities (Bolloju et al.,
2002). Decision support systems (DSS) are computer technology solutions used to support complex
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