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. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Wan, H. (2009). Belief logic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5649 LNCS, pp. 547–548). https://doi.org/10.1007/978-3-642-02846-5_57
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