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Coherent Choice Functions under Uncertainty

机译:不确定条件下的相干选择函数

摘要

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 formdecision problems under uncertainty – where only the probability component of S is indeterminate. Coherent choice distinguishes between each pair of sets ofprobabilities. We axiomatize the theory of choice functions and show these axioms are necessary for coherence. The axioms are sufficient for coherenceusing 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.
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项正是那些最大化概率/效用对固定集合S中某个概率/效用对的期望效用的方案。在本文中,我们主要考虑不确定性下的正常形式决策问题,其中仅S的概率分量是不确定的。相干选择区分每对概率集。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/几乎与状态无关的效用对进行相干。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。

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