An argument for the principle of maximizing expected utility

Theoria 68 (2):112-128 (2002)
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Abstract

The main result of this paper is a formal argument for the principle of maximizing expected utility that does not rely on the law of large numbers. Unlike the well-known arguments by Savage and von Neumann & Morgenstern, this argument does not presuppose the sure-thing principle or the independence axiom. The principal idea is to use the concept of transformative decision rules for decomposing the principle of maximizing expected utility into a sequence of normatively reasonable subrules. It is shown that this procedure provides a resolution of Allais's paradox that cannot be obtained by Savage-style or von Neumann & Morgenstern-style arguments.

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Martin Peterson
Texas A&M University

References found in this work

The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.
A treatise on probability.John Maynard Keynes - 1921 - Mineola, N.Y.: Dover Publications.
The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
Social Choice and Individual Values.Irving M. Copi - 1952 - Science and Society 16 (2):181-181.
Games and Decisions: Introduction and Critical Survey.R. Duncan Luce & Howard Raiffa - 1958 - Philosophy and Phenomenological Research 19 (1):122-123.

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