Abstract. We study algorithms for computing stable models of propositional logic programs and derive estimates on their worst-case performance that are asymptotically better than t...
1 In [20], a new Hybrid Probabilistic Logic Programs framework is proposed, and a new semantics is developed to enable encoding and reasoning about real-world applications. In this...
Answer-set programming (ASP) solvers must handle difficult computational problems that are NP-hard. These solvers are in the worst case exponential and their scope of applicabilit...
Raphael A. Finkel, Victor W. Marek, Neil Moore, Mi...
The theorem on loop formulas due to Fangzhen Lin and Yuting Zhao shows how to turn a logic program into a propositional formula that describes the program's stable models. In...
Answer-set programming (ASP) has emerged recently as a viable programming paradigm well attuned to search problems in AI, constraint satisfaction and combinatorics. Propositional ...