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Abstract: . We introduce a new approach to probabilistic logic programming in which probabilities
are defined over a set of possible worlds. More precisely, classical program clauses are extended by
a subinterval of [0; 1] that describes a range for the conditional probability of the head of a clause
given its body. We then analyze the complexity of selected probabilistic logic programming tasks.
It turns out that probabilistic logic programming is computationally more complex than classical
logic... (Update)
Context of citations to this paper: More
.... in probabilistic logic, which ranges from constraints for unconditional and conditional events [AMA 91, FRI 94, LUK 99a, LUK 99b, LUK 01, NIL 86] to rich languages that specify linear inequalities over events [FAG 90] The main problems related to model theoretic...
.... in model theoretic probabilistic logic, ranging from constraints for unconditional and conditional events [16, 20, 2, 53, 19, 23, 33, 45, 39, 40, 42, 46] to rich languages that specify linear inequalities over events [22] The main problems related to model theoretic...
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BibTeX entry: (Update)
T. Lukasiewicz. Probabilistic logic programming with conditional constraints. Technical Report 1843-00-01, Institut fur Informationssysteme, Technische Universitat Wien, 2000. http://citeseer.ist.psu.edu/lukasiewicz00probabilistic.html More
@article{ lukasiewicz01probabilistic,
author = "Thomas Lukasiewicz",
title = "Probabilistic logic programming with conditional constraints",
journal = "ACM Transactions on Computational Logic",
volume = "2",
number = "3",
pages = "289--339",
year = "2001",
url = "citeseer.ist.psu.edu/lukasiewicz00probabilistic.html" }
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