Titlebook: Expert Judgment and Expert Systems; Jeryl L. Mumpower (Associate Professor),Ortwin Ren Conference proceedings 1987 Springer-Verlag Berlin

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https://doi.org/10.1007/978-3-319-20574-8o determine the best decision under some well defined conditions. Such conditions are usually specified by a relatively small number of facts or variables. Prescriptive rules are based upon rationality principles such as consistency, transitivity of choices, or the maximization of subjective utility (Edwards, 1984).

Innovative

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Value-Driven Expert Systems for Decision Support has significant advantages that could be usefully adapted by the other. This article focuses on how decision analysis could appropriately be used to improve the potential usefulness of expert systems designed for decision support.

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Very Simple Expert Systems: An Application of Judgment Analysis to Political Risk Analysisrovides a yet unrecognized means for developing what are in essence very simple expert systems. Moreover, current efforts in the field of expert systems could be profitably informed by the accumulated results and experience of many years of research by students of the psychology of expert judgment.

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Expert Systems and Intelligent Computer-Assisted-Instruction personal, detailed evaluation and direction (Clancey, 1986). Computerassisted-instruction (CAI) may facilitate such individualized instruction in a more effective, faster, and less costly manner than traditional teaching.

Lumbar-Stenosis

Expert Systems as Cognitive Tools for Human Decision Makingo determine the best decision under some well defined conditions. Such conditions are usually specified by a relatively small number of facts or variables. Prescriptive rules are based upon rationality principles such as consistency, transitivity of choices, or the maximization of subjective utility (Edwards, 1984).

雕镂

Descriptive and Prescriptive Models for Judgment and Decision Making: Implications for Knowledge Eng have been interested in understanding and describing how people make inferences under complexity and uncertainty. Operations researchers have developed methods that extend human ability to make decisions about complex problems.