An Agent for Intelligent Model Management

John I. C. Liu, David Y. Y. Yun, Gary Klein

Journal of Management Information Systems · 1990 · Volume 7 · Issue 1

DOI: 10.1080/07421222.1990.11517883

Abstract

Decision Support Systems ( dss ) and Expert Systems ( es ) are both aimed at improving decision making. Current dss usually concentrate on quantitative models while es emphasize logic and reasoning. In this paper, we review previous es approaches used by dss to handle decision models. We propose an extension to such systems, an Agent for Intelligent Model Management ( aimm ), as an interface between dss and the users. A imm utilizes a combination of es knowledge representations and reasoning mechanisms to make a wide variety of models available to decision makers so that they may apply these models without becoming involved in technical or procedural aspects of implementation. A prototype of the system for financial problems is described.

Keywords

Expert system, intelligent agent, decision support system, model management

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