Reasoning about the Value of Decision-Model Refinement: Methods and
  Application
  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.
