Probabilistic Reasoning in Expert Systems Reconstructed in Probability Semantics

PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986 (1):409-421 (1986)
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Abstract

Probabilistic reasoning is traditionally represented by inferences of the following form (also called probabilistic explanations):where A and B are one-place predicates in a first order language, P(A | B) is the conditional probability of observing A among individuals having property B, and q is close to one.This argument is not logically valid, as the premises may be true while the conclusion is false. Moreover, as it stands, the premises do not even make the conclusion plausible. It may be the case that 90% of the population dies before the age of 85, and that individual j is a member of the population, but this in itself does not make it plausible that individual j will die before the age of 85.

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A paradox in Hempel's criterion of maximal specificity.Roger M. Cooke - 1981 - Philosophy of Science 48 (2):327-328.

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