We present a framework for encoding planning problems in logic programs with negation as failure, having computational e ciency as our major consideration. In order to accomplish o...
abstract. In this paper we investigate a formalism for solving planning problems based on ordered task decomposition using Answer Set Programming (ASP). Our planning methodology is...
Abstract. We consider the simplification of logic programs under the stablemodel semantics, with respect to the notions of strong and uniform equivalence between logic programs, r...
Thomas Eiter, Michael Fink, Hans Tompits, Stefan W...
In this paper we implement planning using answer set programming. We consider the action language A and its extensions. We show that when the domain is described using richer feat...
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...