Article ID Journal Published Year Pages File Type
6858894 International Journal of Approximate Reasoning 2017 16 Pages PDF
Abstract
Various attempts have been made to patch the holes in Cox's theorem on the equivalence between plausible reasoning and probability via additional assumptions regarding the density of attainable plausibilities (so-called “universality”) and the existence of continuous and strictly monotonic functions for manipulating plausibility values. By formalizing an invariance principle implicit in the work of Jaynes and using it to construct a class of elementary examples, we derive these conditions as theorems and eliminate the need for ad hoc assumptions. We also construct the rescaling function guaranteed by Cox's theorem and thus provide a more direct proof and an intuitive interpretation for the theorem's conclusion.
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Physical Sciences and Engineering Computer Science Artificial Intelligence
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