Reasoning about the Value of Decision Model Refinement: Methods and Application
Kim Leng Poh
Department of Engineering-Economic Systems
Stanford, California 94305
Decision Theory & Adaptive Systems Group
Redmond, WA 98052
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We investigate the value of extending the completeness of a decision
model along different dimensions of refinement. Specifically, we
analyze the expected value of quantitative, conceptual, and structural
refinement of decision models. We illustrate the key dimensions of
refinement with examples. The analyses of value of model refinement
can be used to focus the attention of an analyst or an automated
reasoning system on extensions of a decision model associated with the
greatest expected value.
Keywords: Control of reasoning, decision-theoretic metareasoning, bounded resources, model refinement
In: Proceedings of Ninth Conference on Uncertainty in Artificial Intelligence, Washington DC, July 1993. pages 174-182. Morgan Kaufmann: San Francisco.