An agent-based framework for building decision support systems

Abstract Computational models constitute a major component of decision support systems, and their effective management is essential to the success of these systems. Many of the concepts that proved useful in data management are shown to be valid also for the management of the computational models. In particular, computational non-redundancy is defined and established as a major goal for the computational model management. Many subtle redundancies present in current decision support systems are demonstrated to cause considerable damage to the effectiveness of these systems. A functional architecture is described to detect and eliminate all computational redundancies.

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