A Logic for Default Reasoning About Probabilities

Jaeger, Manfred

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A Logic for Default Reasoning About Probabilities

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Jaeger, Manfred
Programming Logics, MPI for Informatics, Max Planck Society;

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Citation

Jaeger, M. (1994). A Logic for Default Reasoning About Probabilities. In R. Lopez de Mantaraz, & D. Poole (Eds.), Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence (UAI'94) (pp. 352-359). San Francisco, CA: Morgan Kaufmann.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-AD55-C

Abstract

A logic is defined that allows to express information about statistical probabilities and about degrees of belief in specific propositions. By interpreting the two types of probabilities in one common probability space, the semantics given are well suited to model the influence of statistical information on the formation of subjective beliefs. Cross entropy minimization is a key element in these semantics, the use of which is justified by showing that the resulting logic exhibits some very reasonable properties.}