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Representation Requirements for Supporting Decision Model Formulation

Published 20 Mar 2013 in cs.AI | (1303.5730v1)

Abstract: This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into a design approach for integrating categorical and uncertain knowledge in a context sensitive manner.

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