Details

Autor(en) / Beteiligte

• Wright, George[Herausgeber]
• Bolger, Fergus[Herausgeber]

Titel

Expertise and Decision Support

Ort / Verlag

Boston, MA : Springer US

Erscheinungsjahr

1992

Beschreibungen/Notizen

• On the Nature of Expertise -- The Psychology of Experts An Alternative View -- Improving Decisions and Judgments The Desirable versus the Feasible -- Reliability and Validity in Expert Judgment -- On the Competence and Incompetence of Experts -- Epistemic Strategies Causal Thinking in Expert and Nonexpert Judgment -- Sociological Perspectives on the Nature of Expertise -- Issues in the Interaction of Expertise and Decision Support Systems -- Perspectives on Expertise in the Aggregation of Judgments -- Decision Conferencing A Unique Approach to the Behavioral Aggregation of Expert Judgment -- Knowledge Engineering Issues for Decision Support -- Human Expertise, Statistical Models, and Knowledge-Based Systems -- Synthesis of Expert Judgment and Statistical Forecasting Models for Decision Support
• This volume brings together a range of contributors from Europe and North America. All contributions were especially commissioned with a view to e- cidating a major multidisciplinary topic that is of concern to both academics and practitioners. The focus of the book is on expert judgment and its interaction with decision support systems. In the first part, the nature of expertise is discussed and characteristics of expert judges are described. Issues concemed with the eval- tion of judgment in the psychological laboratory are assessed and contrasted with studies of expert judgment in ecologically valid contexts. In addition, issues concerned with eliciting and validating expert knowledge are discussed. Dem- strations of good judgmental performance are linked to situational factors such as feedback cycles, and measurement of coherence and reliability in expert ju- ment is introduced as a baseline determinant of good judgmental performance. Issues concerned with the representation of elicited expert knowledge in kno- edge-based systems are evaluated and methods are described that have been shown to produce improvements in judgmental performance. Behavioral and mathematical ways of combining judgments from multiple experts are compared and contrasted. Finally, the issues developed in the preceding contributions are focused on current controversies in decision support. Expert judgment is utilized as a major input into decision analysis, forecasting with statistical models, and expert s- tems