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Expert Judgment and Expert Systems pp 269–288Cite as

Expert Systems as Cognitive Tools for Human Decision Making

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

Abstract

Research on judgment and decision making has produced two classes of theories, i. e., descriptive theories which specify how humans actually make decisions, on the one hand, and prescriptive theories on the other hand. Prescriptive theories are formal procedures which one supposedly ought to apply to 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).

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Author information

Authors and Affiliations

  1. McGill University Cognitive Sciences Centre, Montreal, Quebec, Canada

    Franz Schmalhofer

Authors
  1. Franz Schmalhofer
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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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Schmalhofer, F. (1987). Expert Systems as Cognitive Tools for Human Decision Making. 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_15

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  • DOI: https://doi.org/10.1007/978-3-642-86679-1_15

  • 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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