Belief Logic Programming

Authors:
Hui Wan
Affiliations:
State University of New York at Stony Brook, Stony Brook, U.S.A. 11794
Venue:
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Year:
2009

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Abstract

Various forms of quantitative logic programming have been widely used for dealing with uncertainty and inconsistency in knowledge representation. A less explored issue in quantitative logic programming is combining correlated pieces of information. Most works disregard correlation or assume that all sources are independent. Others make an effort to take some forms of correlation into account, but in an ad hoc manner.