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Part of the book series: Theory and Decision Library ((TDLA,volume 13))

Abstract

Uncertainty is part of the human condition. Whetherwe will or no, we must act, we must make decisions, in the face of uncertainty. Some authors have proposed that uncertainty be regarded as essentially a subjective matter. Our first goal is to draw the teeth of the classical subjectivistic argument that one must be prepared to meet all bets on the basis of one’s “degrees of belief.” The Dutch book theorem, which purports to have this as a consequence, is stated and criticized. Other criticisms of logical and subjective probability are considered. This leads to the consideration of alternative conceptions of how to represent epistemic uncertainty. A variety of alternatives have been offered, including, recently, Glenn Shafer’s theory of belief functions. An exposition of Shafer’s theory is offered. We then relate Shafer’s theory of belief functions to a theory that represents (and updates) uncertainty in terms of convex sets of classical probability functions. Finally, we discuss the question of the decision principles that can be employed in the case of both the convex set representation and the belief function representation of uncertainty.

Research on which this work is based was partially supported by the U.S. Army Signals Warfare Center.

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References

  • Bacchus, Fahiem; Kyburg, Henry and Thalos, Mariam (1989), “Against Conditionalization,” TR256, Computer Science, University of Rochester.

    Google Scholar 

  • Carnap, Rudolf (1950), The Logical Foundations of Probability, Chicago: University of Chicago Press.

    Google Scholar 

  • Cox, Richard T. (1961), The Algebra of Probable Inference, Baltimore: Johns Hopkins Press.

    Google Scholar 

  • deFinetti, Bruno (1937), “La Prevision: Ses Lois Logiques, Ses Sources Sujectives,” Annales De L’Institute Henri Poincare, 7, pp. 1–68.

    Google Scholar 

  • Dempster, Arthur P. (1968), “Upper and Lower Probabilities Generated By a Random Closed Interval,” An nal s of Math emati cal Statistics, 39, pp. 957–66.

    Article  Google Scholar 

  • Dempster, Arthur P. (1967), “Upper and Lower Probabilities Induced By a Multivalued Mapping,” An nal s of Math emati cal Statistics, 38, pp. 325–39.

    Article  Google Scholar 

  • Hempel, Carl, and Oppenheim, Paul (1945), “A Definition of ’Degree of Confirmation’,” Philosophy of Science, 12, pp. 98–115.

    Article  Google Scholar 

  • Hintikka, Jaakko (1966), “A Two-Dimensional Continuum of Inductive Methods,” in Jaakko Hintikka and Patrick Suppes, eds., Aspects of Inductive Logic, Amsterdam: North Holland, pp. 113–32.

    Chapter  Google Scholar 

  • Jaynes, Edward T. (1968), “Prior Probabilities,” IEEE Transactions on Systems Science and Cybernetics, 4, pp. 227–41.

    Article  Google Scholar 

  • Jeffreys, Harold (1939), Theory of Probability, Oxford: Oxford University Press.

    Google Scholar 

  • Keynes, John Maynard (1921), A Treatise on Probability, London: Macmillan.

    Google Scholar 

  • Koopman, Bernard O. (1940), “The Axioms and Algebra of Intuitive Probability,” An nals of Math ematics, 41, pp. 269–92.

    Article  Google Scholar 

  • Kyburg, Henry E. Jr. (1987), “Bayesian and Non-Bayesian Evidential Updating,” Artif icial Intelligence, 31, pp. 271–93.

    Article  Google Scholar 

  • Kyburg, Henry E. Jr. (1970), Probability and Inductive Logic, New York: Macmillan.

    Google Scholar 

  • Levi, Isaac (1980), The Enterprise of Knowledge, Cambridge: MIT Press.

    Google Scholar 

  • Mises, Richard von (1928), Probability, Statistics and Truth, London: George Allen and Unwin.

    Google Scholar 

  • Niiniluoto, Ilkka (1977), “On A K-Dimensional System of Inductive Logic,” in P. Asquith, ed., PSA 1976, East Lansing: Philosophy of Science Association, pp. 425–47.

    Google Scholar 

  • Popper, Karl R. (1959), The Logic of Scientific Discovery, London, Hutchinson and Co.

    Google Scholar 

  • Ramsey, Frank P. ([1931] 1950), “Probability and Partial Belief,” in R. B. Braithwaite, ed., The Foundations of Mathematics and Other Logical Essays by Frank P. Ramsey, London: Routledge and Kegan Paul, pp. 256–57.

    Google Scholar 

  • Rescher, Nicholas (1958), “Theory of Evidence,” Philosophy of Science, 25, pp. 83–94.

    Article  Google Scholar 

  • Savage, Leonard J. (1954), The Foundations of Statistics, New York: John Wiley and Sons.

    Google Scholar 

  • Shafer, Glenn (1976), A Mathematical Theory of Evidence, Princeton: University of Princeton Press.

    Google Scholar 

  • Shortliffe, E. H. (1976), Computer-Based Medical Consultati on s: MYCIN, New York: Elsevier.

    Google Scholar 

  • Teller, Paul (1976), “Conditionalization, Observation, and Change of Preference,” in W. Harper and C. Hooker, eds., Foundations of Probability Theory, Vol. I, Dordrecht, Netherlands: Reidel, pp. 205–53.

    Google Scholar 

  • VanFraassen, Bas (1984), “Belief and Will,” Journal of Philosophy, 81, pp. 235–36.

    Article  Google Scholar 

  • Venn, John (1866), The Logic of Chance, London: Macmillan; reprinted New York: Chelsea, 1963.

    Google Scholar 

  • Zadeh, Lotfi (1979), “On the Validity of Dempster’s Rule of Combination of Evidence,” Berkeley, Memo UCB/ERL M79,24.

    Google Scholar 

Download references

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© 1990 Springer Science+Business Media Dordrecht

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Kyburg, H.E. (1990). Uncertainty and the Conditioning of Beliefs. In: Acting under Uncertainty: Multidisciplinary Conceptions. Theory and Decision Library, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7873-8_4

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  • DOI: https://doi.org/10.1007/978-94-015-7873-8_4

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5785-3

  • Online ISBN: 978-94-015-7873-8

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