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Combining Probabilistic Logic Programming with the Power of Maximum Entropy

Abstract:

This paper is on the combination of two powerful approaches to uncertain reasoning: logic programming in a probabilistic setting, on the one hand, and the information-theoretical principle of maximum entropy, on the other hand. More precisely, we present two approaches to probabilistic logic programming under maximum entropy. The first one is based on the usual notion of entailment under maximum entropy, and is defined for the very general case of probabilistic logic programs over Boolean ...

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Authors


Gabriele Kern−Isberner More by this author
Thomas Lukasiewicz More by this author
Journal:
Artificial Intelligence
Volume:
157
Issue:
1/2
Pages:
139-202
Publication date:
2004-08-01
URN:
uuid:ae3d4552-0d9e-4b6a-909c-6a3c711e1b9a
Local pid:
cs:4659

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