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LPNMR
2004
Springer

Probabilistic Reasoning With Answer Sets

9 years 5 months ago
Probabilistic Reasoning With Answer Sets
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while causal Bayes nets serve as a probabilistic foundation. We give several nontrivial examples and illustrate the use of P-log for knowledge representation and updating of knowledge. We argue that our approach to updates is more appealing than existing approaches. We give sufficiency conditions for the coherency of P-log programs and show that Bayes nets can be easily mapped to coherent P-log programs.
Chitta Baral, Michael Gelfond, J. Nelson Rushton
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where LPNMR
Authors Chitta Baral, Michael Gelfond, J. Nelson Rushton
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