We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
We report on recent advancements in the development of grounder Gringo for logic programs under answer set semantics. Like its relatives, DLV and Lparse, Gringo has in the meantime...
Martin Gebser, Roland Kaminski, Max Ostrowski, Tor...
In this paper, we consider an approach to update nonmonotonic knowledge bases represented as extended logic programs under the answer set semantics. In this approach, new informat...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
In this paper bounded model checking of asynchronous concurrent systems is introduced as a promising application area for answer set programming. As the model of asynchronous syst...
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...