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Coherent Choice Functions under Uncertainty

Teddy Seidenfeld, Mark Schervish and Joseph B. Kadane
Department of Statistics, Carnegie Mellon University

Abstract:

We discuss several features of coherent choice functions - where the admissible options in a decision problem are exactly those which maximize expected utility for some probability/utility pair in fixed set S of probability/utility pairs. In this paper we consider, primarily, normal form decision problems under uncertainty - where only the probability component of S is indeterminate. Coherent choice distinguishes between each pair of sets of probabilities. We axiomatize the theory of choice functions and show these axioms are necessary for coherence. The axioms are sufficient for coherence using a set of probability/almost-state-independent utility pairs. We give sufficient conditions when a choice function satisfying our axioms is represented by a set of probability/state-independent utility pairs with a common utility.

Keywords. Choice functions, coherence, $ \Gamma$-Maximin, Maximality, uncertainty, state-independent utility. Here is the full PDF text for this technical report. It is 344822 bytes long.