On the Strong Equivalences for LPMLN Programs

9 Sep 2019Bin WangJun ShenShutao ZhangZhizheng Zhang

LPMLN is a powerful knowledge representation and reasoning tool that combines the non-monotonic reasoning ability of Answer Set Programming (ASP) and the probabilistic reasoning ability of Markov Logic Networks (MLN). In this paper, we study the strong equivalence for LPMLN programs, which is an important tool for program rewriting and theoretical investigations in the field of logic programming... (read more)

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