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On the Relationship between P-log and LPMLN

2019-11-22 | |  66 |   39 |   0
Abstract The paper investigates the relationship between knowledge representation languages P-log [Baral et al., 2004] and LPMLN [Lee et al., 2015] designed for representing and reasoning with logic and probability. We give a translation from an important subset of LPMLN to P-log which preserves probabilistic functions defined by LPMLN programs and complements recent research [Lee and Wang, 2016] by the authors of LPMLN where they give a similar translation from a subset of P-log to their language. This work sheds light on the different ways to treat inconsistency in both languages.

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