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arxiv: 1806.01044 · v1 · pith:33FKD75Gnew · submitted 2018-06-04 · 💻 cs.AI · math.PR

A Desirability-Based Axiomatisation for Coherent Choice Functions

classification 💻 cs.AI math.PR
keywords choicefunctionsaxiomscoherentdesirablegamblesinterpretationsets
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Choice functions constitute a simple, direct and very general mathematical framework for modelling choice under uncertainty. In particular, they are able to represent the set-valued choices that typically arise from applying decision rules to imprecise-probabilistic uncertainty models. We provide them with a clear interpretation in terms of attitudes towards gambling, borrowing ideas from the theory of sets of desirable gambles, and we use this interpretation to derive a set of basic axioms. We show that these axioms lead to a full-fledged theory of coherent choice functions, which includes a representation in terms of sets of desirable gambles, and a conservative inference method.

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  1. A decision-theoretic approach to dealing with uncertainty in quantum mechanics

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    A decision-theoretic model is developed in which quantum measurements act as uncertain decisions whose utilities encode Born's rule, enabling an imprecise-probabilities treatment of quantum uncertainty.