Learning agent architecture for design and manufacturing knowledge on the Web: an extension of enterprise resource planning capabilities

Steven H. Kim

Intelligent Systems in Accounting, Finance and Management, 1999, vol. 8, issue 1, 15-24

Abstract: The proliferation of online databases highlights the need for intelligent agents to assist in information retrieval and decision making. A prominent class of applications relates to product design, whose ultimate physical embodiment as a tangible object underscores the utility of employing multimedia data structures during the entire lifecycle, from conception and synthesis to production and maintenance. The pertinent multimedia formats cover the gamut from sound and animation to video and virtual reality in addition to conventional text. To this end, intelligent agents can support users ranging from designers to manufacturers, and from salespersons to customers. A competent software agent should possess greater functionality than merely fetch data or broadcast simple information. In particular, an intelligent agent should be able to perform routine tasks autonomously, glean new knowledge from disparate databases, and improve its own performance through experience. This paper examines a number of critical issues behind the development of such agents, formulates a general architecture, and demonstrates the deployment of a learning agent for industrial planning. Copyright © 1999 John Wiley & Sons, Ltd.

Date: 1999
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