Probabilistic reasoning with answer sets

Chitta Baral, Michael Gelfond, Nelson Rushton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

52 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationLogic Programming and Nonmonotonic Reasoning
EditorsIlkka Niemela, Vladimir Lifschitz
PublisherSpringer Verlag
Pages21-33
Number of pages13
ISBN (Electronic)354020721X, 9783540207214
StatePublished - Jan 1 2004
Event7th International Conference on Logic Programming and Nonmonotonic Reasoning , LPNMR 2004 - Fort Lauderdale, United States
Duration: Jan 6 2004Jan 8 2004

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2923
ISSN (Print)0302-9743

Conference

Conference7th International Conference on Logic Programming and Nonmonotonic Reasoning , LPNMR 2004
CountryUnited States
CityFort Lauderdale
Period1/6/041/8/04

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Baral, C., Gelfond, M., & Rushton, N. (2004). Probabilistic reasoning with answer sets. In I. Niemela, & V. Lifschitz (Eds.), Logic Programming and Nonmonotonic Reasoning (pp. 21-33). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2923). Springer Verlag.