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Part of the book series: Theory and Decision Library ((TDLU,volume 21))

Abstract

This paper is concerned with applying the concept of learning through a Bayesian process to individuals discovering their utility functions. In the usual formulation of decision theory the utility function is assumed to be known and fixed. The assumption of a fixed utility function gives rise to inconsistencies of the type illustrated by the ‘Allais paradox’. We have explored a series of examples in which the individual compares the expected utility from the consequences of a particular event before it occurs with the utility actually realized after the event occurs. Any discrepancy between the two is assumed to result in a change in the expected (anticipated) utility function. In other words, expected utilities can be changed as a result of actual experience. The process of discovering the parameters of the expected utility function through experience is assumed to be Bayesian.

Reprinted by kind permission of the Editors from: R. H. Day and T. Groves (Eds.), Adaptive Economic Models, Academic Press, 1975. (Presented at the Symposium on Adaptive Economics, Oct. 1974, Sponsored by the Mathematical Research Center, Madison, Wisc.)

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Notes and References

  1. Allais, M.: (1953). ‘Le comportement de l’homme rationnel devant le risque: Critique des postulats et axioms de l’école Americaine,’ Econometrica 21, 503–546.

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  6. Cf. Simon, H. A.: (1955). ‘A Behavioral Model of Rational Choice’, Quarterly Journal of Economics 69, 99–118.

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  7. Simon has put this well: “The consequences that the organism experiences may change the pay-off function - it doesn’t know how well it likes cheese until it has eaten cheese.”

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  8. Cf. Witsenhausen, H. S.: (1974). ‘On the Uncertainty of Future Preferences’, Annals of Economic and Social Measurement 3, 91–94.

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  9. In this paper, Witsenhausen emphasizes the need to incorporate these concepts in problems of long range planning.

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  11. For example, the parameter B which determines how much utility or enjoyment an individual will derive from ordering a steak dinner at a particular restaurant will be closely related to the parameter cp which determines whether or not the restaurant prepares good steak dinners. As another example, the parameter B which determines how much utility an individual will realize from owning a stock that yields a particular gain is only slightly related to the parameter go representing external conditions which determine whether or not the stock will yield that gain.

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  12. The random variable X will in general be a function of the actual utility received from the realized consequence. For exampre, as mentioned earlier, X may be an indicator of whether the actual utility is greater or smaller than the expected utility for that consequence. The assumption made in the text that F(x I B) does not depend on which consequence occurs is special and need not be retained in the general theory.

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  17. Cf. Nord, O. C.: (1963). Growth of a New Product: Effects of Capacity-Acquisition Policies, The M. I. T. Press, Cambridge, Massachusetts, Chapter 1.

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© 1979 Springer Science+Business Media Dordrecht

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Cyert, R.M., Degroot, M.H. (1979). Adaptive Utility. In: Allais, M., Hagen, O. (eds) Expected Utility Hypotheses and the Allais Paradox. Theory and Decision Library, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7629-1_10

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  • DOI: https://doi.org/10.1007/978-94-015-7629-1_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8354-8

  • Online ISBN: 978-94-015-7629-1

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