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Behavioural decision theory and it's implication for knowledge engineering*

Published online by Cambridge University Press:  07 July 2009

Paul E. Lehner  and
Leonard Adelman
Paul E. Lehner
Affiliation:
Information Systems and Systems Engineering, George Mason University, 4400, University Drive, Fairfax, Virginia 22030, USA
Leonard Adelman
Affiliation:
Information Systems and Systems Engineering, George Mason University, 4400, University Drive, Fairfax, Virginia 22030, USA
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Abstract

This paper explores the implications of research results in behavioural decision theory on knowledge engineering. Behavioural decision theory, with its performance (versus process) orientation, can tell us a great deal about the validity of human expert knowledge, and when it should be modelled. A brief history of behavioural decision theory is provided. Implications for knowledge elicitation and representation are discussed. An approach to knowledge engineering is proposed that takes into account these implications.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 5 , Issue 1 , March 1990 , pp. 5 - 14
Copyright
Copyright © Cambridge University Press 1990

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References

Adelman, L, Donnell, M, Phelps, R and Patterson, J, 1982, “An iterative Bayesian decision aid: Toward improving the user-aid and user-organization interface” IEEE Trans. Systems, Man, and Cybernetics SMC–12 733–742.Google Scholar
Christenses-Szalanski, J and Beach, L, 1984, “The citation bias: Fad and fashion in the judgement and decision literature” American Psychologist 39 75–78.CrossRefGoogle Scholar
Dawes, R, 1979, “The robust beauty of improper linear models in decision making” American Psychologist 34(7) 571–582.CrossRefGoogle Scholar
Dawes, R and Corrigan, B, 1974, “Linear models in decision making” Psychological Bulletin 81 95–106.CrossRefGoogle Scholar
Edwards, W, 1954, “The theory of decision making” Psychological Bulletin 51 380–417.CrossRefGoogle ScholarPubMed
Edwards, W, 1968, “Conservatism in human information processing” in: Kleinmuntz, B, ed., Formal Representation of Human Judgment Wiley.Google Scholar
Edwards, W, Phillips, L, Hays, W and Goodman, B, 1968, “Probabilistic information processing systems: Design and evaluation” IEEE Transactions on Systems Science and Cybernetics SCC–4 248–265.CrossRefGoogle Scholar
Edwards, W, Schum, D and Winkler, R, in press, “Murder and (of?) the likelihood principle: A trialogue” Journal of Behavioral Decision Making, to appear.Google Scholar
Einhorn, H and Hogarth, R, 1978, “Confidence in judgment: Persistence of the illusion of validity” Psychological Review 85 395–416.CrossRefGoogle Scholar
Einhorn, H and Hogarth, R, 1986, “Judging probable cause” Psychological Bulletin 99 3–19.CrossRefGoogle Scholar
Ericson, K and Simon, H, 1984, Protocol Analysis: Verbal Reports as Data MIT Press.Google Scholar
Fishchhoff, B, 1975, “Hindsight ≠ foresight: The effect of outcome knowledge on judgment under uncertainty” Journal of Experimental Psychology: Human Perception and Performance 4 330–344.Google Scholar
Fischhoff, B, 1989, “Eliciting knowledge for analytical representation” IEEE Transactions on Systems, Man and Cybernetics 19(3) 448–461.Google Scholar
Fishburn, P, 1988, “Normative theories of decision making under risk and under uncertainty” in: Bell, D, Raiffa, H and Tversky, A, eds., Decision Making: Descriptive, Normative, and Prescriptive Interactions Cambridge University Press.Google Scholar
Ford, J, Schmitt, N, Schechtman, S, Hulls, B and Doherty, M, 1989, “Process tracing methods: Contributions, problems and neglected research questions” Organizational Behavior and Human Decision Making 43 75–117.CrossRefGoogle Scholar
Hammond, K, 1976, Facilitation of Interpersonal Learning and Conflict Reduction by One-line Communication University of Colorado.Google Scholar
Hammond, K, 1971, “Computer graphics as an aid to learning” Science 172 903–908.CrossRefGoogle ScholarPubMed
Hammond, K, 1987, “Toward a unified approach to the study of expert judgment” in: Mumpower, J, Phillips, L, Renn, O and Uppuluri, V, Expert Judgment and Expert Systems Springer-Verlag.Google Scholar
Hogarth, RM, 1975, “Cognitive processes and the assessment of subjective probability distributions” Journal of the American Statistical Association 70 272–289.Google Scholar
Hogarth, R, 1986, “Generalization in decision research: The role of formal models” IEEE Transactions on Systems, Man, and Cybernetics SMC–16(3) 439–449.Google Scholar
Hogarth, R, 1987, Judgment and Choice John Wiley.Google Scholar
Horvitz, E, Brese, J and Henrion, M, 1988, “Decision theory in expert systems and artificial intelligence” International Journal of Approximation Reasoning 2 247–302.CrossRefGoogle Scholar
Johnson, E, 1988, “Expertise and decision under uncertainty: Performance and process” in: Chi, M, Glaser, R and Farr, M, eds., The Nature of Expertise Lawrence Erlbaum Associates.Google Scholar
Kahneman, D and Tversky, A, 1973, “On the psychology of prediction” Psychological Review 80 237–251.CrossRefGoogle Scholar
Kahneman, D and Tversky, A, 1979, “Prospect theory: An analysis of decision under risk” Econometric 47 263–289.CrossRefGoogle Scholar
Kelly, C and Barkley, S, 1973, “A generalized Bayesian model for hierarchical inference” Organizational Behavior and Human Performance 10 388–403.CrossRefGoogle Scholar
Klein, G, Calderwood, R and MacGregor, D, 1989, “Critical decision method for eliciting knowledge” IEEE Transactions on Systems, Man and Cybernetics 19(3) 462–472.Google Scholar
Lehner, P and Adelman, L, 1988, “Senior battle staff decision aiding: A case study” in: Andriole, S and Hopple, G, eds., Defense Applications of Artificial Intelligence Lexington Books.Google Scholar
Lehner, PE, Probus, MR and Donnell, M, 1985, “Building decision aids: Exploiting the synergy between decision analysis and artificial intelligence” IEEE Transactions on Systems, Man and Cybernetics SMC–14(4), 409–414.Google Scholar
Levi, K, 1989, “Expert systems should be more expert than human experts: Evaluation procedures from human judgment and decision making” IEEE Transactions on Systems, Man and Cybernetics 19(3) 647–657.Google Scholar
Mullin, T, 1989, “Expert's estimation of uncertain quantities and its implications for knowledge acquisition” IEEE Transactions on Systems, Man and Cybernetics 19(3) 616–625.Google Scholar
Newell, A and Simon, H, 1972, Human Problem Solving Prentice Hall.Google Scholar
Nisbett, R and Ross, L, 1980, Human Inference: Strategies and Shortcomings of Social Judgment Prentice-Hall.Google Scholar
Nisbett, R and Wilson, T, 1977, “Telling more than we can know: verbal reports on mental processes” Psychological Review 84 231–259.CrossRefGoogle Scholar
Savage, LJ, 1954, The Foundation of Statistics Wiley.Google Scholar
Schank, R and Abelson, R, 1977, Scripts, Plans, Goals, and Understanding Erlbaum Associates.Google Scholar
Slovic, P, Fischhoff, B and Lischtenstein, S, 1977, “Behavioral decision theory” Annual Review of Psychology 28 1–39.CrossRefGoogle Scholar
Slovic, P, Fischhoff, B and Lichtenstein, S, 1988, “Response mode, framing, and information-processing effects in risk assessment” in: Bell, D, Raiffa, H and Tversky, A, eds., Decision Making: Descriptive, Normative, and Prescriptive Interactions Cambridge University Press.Google Scholar
Tolcott, MA, Marvin, FF and Lehner, PE, 1989, “Expert decision making in evolving situations” IEEE Transactions on Systems, Man and Cybernetics 19(3) 606–615.Google Scholar
Tversky, A and Kahneman, D, 1971, “The belief in the ‘Law of Small Numbers’” Psychological Bulletin 76 105–110.CrossRefGoogle Scholar
Tversky, A and Kahneman, D, 1973, “Availability: A heuristic for judging frequency and probability” Cognitive Psychology 5 207–232.CrossRefGoogle Scholar
Tversky, A and Kahneman, D, 1980, “Causal schemas in judgement under uncertainty” in: Fishbein, M, ed., Progress in Social Psychology Erlbaum.Google Scholar
Tversky, A and Kahneman, D, 1981, “The framing of decisions and the psychology of choice” Science 211 453–458.CrossRefGoogle ScholarPubMed
von Neumann, J and Morgenstern, O, 1944, Theory of Games and Economic behavior Princeton University Press.Google Scholar
von Winterfeldt, D, 1988, “Expert systems and behavioral decision research” Decision Support Systems 4 461–471.CrossRefGoogle Scholar
Wason, P, 1960, “On the failure to eliminate hypotheses in a conceptual task” Quarterly Journal of Experimental Psychology 12 129–140.CrossRefGoogle Scholar