Group Decision and Negotiation

, Volume 20, Issue 1, pp 3–18 | Cite as

The Emergence of Individual Knowledge in a Group Setting: Mitigating Cognitive Fallacies

Article

Abstract

Research in psychology has found that subjects regularly exhibit a conjunction fallacy in probability judgments. Additional research has led to the finding of other fallacies in probability judgment, including disjunction and conditional fallacies. Such analyses of judgments are critical because of the substantial amount of probability judgment done in accounting, business and organizational settings. However, most previous research has been conducted in the environment of a single decision maker. Since business and other organizational environments also employ groups, it is important to determine the impact of groups on such cognitive fallacies. This paper finds that groups substantially mitigate the impact of probability judgment fallacies among the sample of subjects investigated. The key finding of this paper is the analysis of the apparent manner in which groups make such decisions. A statistical analysis, based on a binomial distribution, suggests that groups investigated here did not use consensus. Instead, if any one member of the group has correct knowledge about the probability relationships, then the group uses that knowledge and does not exhibit fallacy in probability judgment. Having a computational model of the group decision making process provides a basis for developing computational models that can be used to simulate “mirror worlds” of reality or model decision making in real world settings.

Keywords

Group judgments Knowledge set Consensus judgment 

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References

  1. Benson G, Curley S, Smith G (1995) Belief assessment: an underdeveloped phase of probability assessment. Manag Sci 41(10): 1639–1653CrossRefGoogle Scholar
  2. Black D (1958) The theory of committees and elections. Cambridge University Press, LondonGoogle Scholar
  3. Camerer CF (1987) Do biases matter in markets? Experimental evidence. Am Econ Rev 77(5): 981–997Google Scholar
  4. Dalkey NC (1969) The delphi method: an experimental study of group opinion. June 1969, Rand RM-5888-PRGoogle Scholar
  5. Davis J (1992) Some compelling intuitions about group consensus decisions, theoretical and empirical research, and interpersonal aggregation phenomena: selected examples. Organ Behav Hum Decis Process 52: 3–38CrossRefGoogle Scholar
  6. Dixon W, Massey F (1969) Introduction to statistical analysis. McGraw-Hill, New YorkGoogle Scholar
  7. Einhorn H, Hogarth R (1986) Judging probable cause. Psychol Bull 99(1): 3–19CrossRefGoogle Scholar
  8. Gelernter D (1992) Mirror worlds. Oxford University Press, New YorkGoogle Scholar
  9. Griffin D, Gonzalez R, Varey C (2001) The heuristics and biases approach to judgment under uncertainty. In: Tesser A, Schwarz N (eds) Blackwell handbook of social psychology. Wiley-Blackwell, OxfordGoogle Scholar
  10. Hastie R, Dawes R (2002) Rational choice in an uncertain world. Sage, Thousand OaksGoogle Scholar
  11. Hinsz V, Tindale R, Nagao D (2008) Accentuation of information processes and biases in group judgments integrating base-rate and case specific information. J Exp Soc Psychol 44: 116–126CrossRefGoogle Scholar
  12. Ijiri Y (1975) Theory of accounting measurement, studies in accounting research. American Accounting Association, SarasotaGoogle Scholar
  13. Kerr N, MacCoun R, Kramer G (1996) Bias in judgment: comparing individuals and groups. Psychol Rev 103(4):687–719CrossRefGoogle Scholar
  14. Lenat DB, Guha RV (1989) Building large knowledge-based systems: representation and inference in the Cyc project. Addison-Wesley, ReadingGoogle Scholar
  15. McCarthy J (1997) Knowledge set and Knowledge base. http://www-formal.stanford.edu/jmc/model/node12.html
  16. Mohommed S, Ringseis E (2001) Cognitive diversity and consensus in group decision making. Organ Behav Group Decis Process 85(2): 310–335CrossRefGoogle Scholar
  17. O’Leary DE, Kuokka D, Plant R (1997) Artificial intelligence and virtual organizations. Commun ACM 40(1): 52–59CrossRefGoogle Scholar
  18. O’Leary DE (2008) Supporting decisions in real time enterprises. Inf Syst e-Bus Manag 6(3): 239–255CrossRefGoogle Scholar
  19. Schum D (1987) Evidence and inference for the intelligence analyst. University Press of America, LanhamGoogle Scholar
  20. Shafer G, Tversky A (1985) Languages and designs for probability judgment. Cogn Sci 9: 309–335CrossRefGoogle Scholar
  21. Simmel G (1950) The sociology of Georg Simmel. In: Wolff K (ed) Free Press, New YorkGoogle Scholar
  22. Simon H (1957) Administrative behavior. 2. Free Press, New YorkGoogle Scholar
  23. Simon H (1981) The sciences of the artificial. 2. MIT Press, CambridgeGoogle Scholar
  24. Smedslund J (1990) A critique of Tversky and Kahneman’s distinction between fallacy and misunderstanding. Scand J Psychol 31: 110–120CrossRefGoogle Scholar
  25. Sprague R, Carlson E (1982) Building effective decision support systems. Prentice Hall, Englewood CliffsGoogle Scholar
  26. Stringer K, Stewart T (1985) Statistical techniques for analytic review in auditing, deloitte. Haskins and Sells, New YorkGoogle Scholar
  27. Tversky A (1994) A new approach to subjective probability. Unpublished paper presented at the behavioral decision research in management conference, May 22, 1994, MIT Sloan School of ManagementGoogle Scholar
  28. Tversky A, Kahneman D (1983) Extensional versus intuitive reasoning: the conjunction fallacy in probability judgment. Psychol Rev 90(4): 293–315CrossRefGoogle Scholar
  29. Weick K (1969) The social psychology of organizing. Addison-Wesley, ReadingGoogle Scholar
  30. Windschitl PD (2002) Judging the accuracy of a likelihood judgment: the case of smoking risk. J Behav Decis Mak 15: 19–35CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.University of Southern CaliforniaMarshall School of BusinessLos AngelesUSA

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