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Probabilistic Reasoning With Answer Sets

  • Conference paper
Logic Programming and Nonmonotonic Reasoning (LPNMR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2923))

Abstract

We give a logic programming based account of probability and describe a declarative language P-log capable of reasoning which combines both logical and probabilistic arguments. Several non-trivial examples illustrate the use of P-log for knowledge representation.

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© 2003 Springer-Verlag Berlin Heidelberg

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Baral, C., Gelfond, M., Rushton, N. (2003). Probabilistic Reasoning With Answer Sets. In: Lifschitz, V., Niemelä, I. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2004. Lecture Notes in Computer Science(), vol 2923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24609-1_5

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  • DOI: https://doi.org/10.1007/978-3-540-24609-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20721-4

  • Online ISBN: 978-3-540-24609-1

  • eBook Packages: Springer Book Archive

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