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Descriptive and Prescriptive Models for Judgment and Decision Making: Implications for Knowledge Engineering

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Expert Judgment and Expert Systems

Part of the book series: NATO ASI Series ((NATO ASI F,volume 35))

Abstract

Development of a knowledge base for an expert system often requires an analysis of the inference processes and decision making strategies of one or more experts. Knowledge engineers therefore share the psychologists and operations researcher’s interest in inference and decision making. Psychologists 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.

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Author information

Authors and Affiliations

  1. National Center for Atmospheric Research, Boulder, Colorado, USA

    Thomas R. Stewart

  2. Center for Applied Artificial Intelligence, College of Business and Administration, University of Colorado at Boulder, Boulder, Colorado, USA

    Claude McMillan Jr.

Authors
  1. Thomas R. Stewart
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  2. Claude McMillan Jr.
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Editor information

Editors and Affiliations

  1. Department of Public Administration, Rockefeller College, State University of New York, 12222, Albany, NY, USA

    Jeryl L. Mumpower (Associate Professor) (Associate Professor)

  2. Clark University, Worcester, MA, 01610, USA

    Ortwin Renn (Associate Professor of Environment Technology, and Society) (Associate Professor of Environment Technology, and Society)

  3. Decision Analysis Unit, London School of Economics and Political Science, Houghton St., WC2A 2AE, UK

    Lawrence D. Phillips (Director) (Director)

  4. Mathematics and Statistics, Research Department, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA

    V. R. R. Uppuluri (Director) (Director)

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© 1987 Springer-Verlag Berlin Heidelberg

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Stewart, T.R., McMillan, C. (1987). Descriptive and Prescriptive Models for Judgment and Decision Making: Implications for Knowledge Engineering. In: Mumpower, J.L., Renn, O., Phillips, L.D., Uppuluri, V.R.R. (eds) Expert Judgment and Expert Systems. NATO ASI Series, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-86679-1_17

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  • DOI: https://doi.org/10.1007/978-3-642-86679-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-86681-4

  • Online ISBN: 978-3-642-86679-1

  • eBook Packages: Springer Book Archive

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