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Coherent choice functions under uncertainty

机译:不确定条件下的相干选择函数

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We discuss several features of coherent choice functions—where the admissible options in a decision problem are exactly those that 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 and utility for two privileged outcomes is determinate. Coherent choice distinguishes between each pair of sets of probabilities regardless the “shape” or “connectedness” of the 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 - Γ-Maximin - Maximality - Uncertainty - State-independent utility
机译:我们讨论了相干选择函数的几个特征-决策问题中允许的选择恰恰是那些最大化概率/效用对固定集合S中某个概率/效用对的期望效用的选择。在本文中,我们主要考虑不确定性下的范式决策问题,其中仅S的概率部分是不确定的,而两个特权结果的效用是确定的。相干选择在每对概率集之间进行区分,而不管概率集的“形状”或“连接性”如何。我们公理化选择函数的理论,并证明这些公理对于连贯性是必要的。该公理足以使用一组概率/与状态无关的效用对进行连贯。当满足我们的公理的选择函数由一组具有共同效用的概率/状态无关效用对表示时,我们给出了充分的条件。关键词选择函数-相干性-Γ-极大值-极大值-不确定性-独立于状态的效用

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