Cyber-physical systems (CPS) are becoming ubiquitous. Almost every device today has a controller that reads inputs through sensors, does some processing and then performs actions t...
Answer set programs with time predicates are useful to model systems whose properties depend on time, like for example gene regulatory networks. A state of such a system at time po...
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chri...
Probabilistic Logic Programming is an active field of research, with many proposals for languages, semantics and reasoning algorithms. One such proposal, Logic Programming with A...
Within the last years, especially since the work proposed by Dung in 1995, argumentation has emerged as a central issue in Artificial Intelligence. With the so called argumentatio...
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Answer-set programming (ASP) is a well-known formalism for declarative problem solving, enjoying a continuously increasing number of diverse applications. However, arguably one of ...
Abstract. We present an integration of answer set programming and constraint processing as an interesting approach to constraint logic programming. Although our research is in a ve...