We present a new approach to integrating Constraint Processing (CP) techniques into Answer Set Programming (ASP). Based on an alternative semantic approach, we develop an algorithm...
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
Abstract. The paper introduces a collection of knowledge representation languages, V(C), parametrised over a class C of constraints. V(C) is an extension of both CR-Prolog and CASP...
Despite all efforts on intelligent grounding, state-of-the-art answer set solvers still have huge memory requirements, because they compute the ground instantiation of the input pr...
Sabrina Baselice, Piero A. Bonatti, Michael Gelfon...
Abstract. Answer Set Programming is a new paradigm based on logic programming. The main component of answer set programming is a system that finds the answer sets of logic program...