Four models for a decision support system

Abstract We examine four decision support system (DSS) models – the Symbiotic, Expert, Holistic, and Adaptive – and distinguish them in terms of the impact of their knowledge management styles on their problem-processing behavior. We draw upon existing notions of knowledge types and their management to develop a knowledge-oriented view. We use it to categorize the models as being either Static or Dynamic. From this perspective, the Holistic DSS may be regarded as being the most advanced, as it postulates holistic problem recognition and processing capabilities. While progress has been made on digitally simulating holistic recognition, much remains to be done in developing practical processors and truly holistic systems that couple such processors and recognizers.

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