Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-naive Conditioning

Chitta Baral, Matt Hunsaker

P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various advantages of P-log have been discussed. In this paper we further elaborate on the KR prowess of P-log by showing that: (i) it can be used for causal and counterfactual reasoning and (ii) it provides an elaboration tolerant way for non-naive conditioning.

Subjects: 11. Knowledge Representation; 3.4 Probabilistic Reasoning

Submitted: Oct 16, 2006


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