摘要

In the traditional decision support system (DSS), the methods of model representation and composite are always of vital importance. This paper brings forward a novel method based on agent -oriented modeling philosophy. This new method based on Agent presents more flexible and adaptable to model base by transforming the manipulation and the composite of models into the cooperation among agents. As to the mechanism of the model composite based on the knowledge reasoning, we provided a solution based on CBR (case-based reasoning) model, and a simplified instance of model composite.

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