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Using maximum entropy in a defeasible logic with probabilistic semantics

Cussens, J; Hunter, A; (1993) Using maximum entropy in a defeasible logic with probabilistic semantics. In: (pp. pp. 43-52).

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Abstract

© Springer-Verlag Berlin Heidelberg 1993. In this paper we make defeasible inferences from conditional probabilities using the Principle of Total Evidence. This gives a logic that is a simple extension of the axiomatization of probabilistic logic as defined by Halpern’s AX 1 . For our consequence relation, the reasoning is further justified by an assumption of the typicality of individuals mentioned in the data. For databases which do not determine a unique probability distribution, we select by default the distribution with Maximum Entropy. We situate this logic in the context of preferred models semantics.

Type: Proceedings paper
Title: Using maximum entropy in a defeasible logic with probabilistic semantics
ISBN-13: 9783540567356
URI: http://discovery.ucl.ac.uk/id/eprint/105499
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