]> 2012-02-11T05:36:03-05:00 A Methodology for Generating Computer-Based Explanations of Decision-Theoretic Advice Decision analysis is an appealing methodology with which to provide decision support to the practicing physician. However, its use in the clinical setting is impeded because computer-based explanations of decision-theoretic advice are difficult to generate without resorting to mathematical arguments. Nevertheless, human decision analysts generate useful and intuitive explanations based on decision trees. To facilitate the use of decision theory in a computer-based decision support system, the authors developed a computer program that uses symbolic reasoning techniques to generate nonquantitative explanations of the results of decision analyses. A combined approach has been implemented to explain the differences in expected utility among branches of a decision tree. First, the mathematical relationships inherent in the structure of the tree are used to find any asymmetries in tree structure or inequalities among analogous decision variables that are responsible for a difference in variables, creating a symbolic expression that justifies the decision. Finally the symbolic expression is converted to English-language text, thereby generating an explanation that justifies the desirability of the choice with the greater expected utility. The explanation does not refer to mathematical formulas, nor does it include probability or utility values. The results suggest that explanations produced by a combination of decision analysis and symbolic processing techniques may be more persuasive and acceptable to clinicians than those produced by either technique alone. techreport November,1988 A Methodology for Generating Computer-Based Explanations of Decision-Theoretic Advice KSL-86-57 1988 15 pages. A Methodology for Generating Computer-Based Explanations of Decision-Theoretic Advice 1988 Year Title YES Process note Number Note November Month Ksl tr id Knowledge Systems, AI Laboratory Institution Has year Has where published Has title Has publishing details Has identifier Has author Bibtype Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan Author Abstract KSL Technical Report Publication Technical Report