An Agent for Intelligent Model Management.

Author List: Liu, John I. C.; Yun, David Y. Y.; Klein, Gary;

Journal of Management Information Systems, 1990, Volume 7, Issue 1, Page 101-122.

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. AIMM 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: decision support systems;intelligent agents;model management systems

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List of Topics

#184	0.220	modeling models model business research paradigm components using representation extension logical set existing way aspects issues current integrated languages traditional
#129	0.205	expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain inductive rules machine artificial task
#113	0.195	support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#26	0.097	business large organizations using work changing rapidly make today's available designed need increasingly recent manage years activity important allow achieve
#289	0.075	qualitative methods quantitative approaches approach selection analysis criteria used mixed methodological aspects recent selecting combining known conclusions included article appropriateness