We present a bottom-up algorithm for the computation of the well-founded model of non-disjunctive logic programs which is based on the set of elementary program transformations stu...
Fuzzy answer set programming has been introduced as a framework that successfully combines the concepts of answer set programming and fuzzy logic. In this paper, we show how the fu...
Davy Van Nieuwenborgh, Martine De Cock, Dirk Verme...
In this paper, we propose the use of constraint logic programming as a way of modeling contextsensitive execution-times of program segments. The context-sensitive constraints are ...
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoning about probability. Thus, it is important to have a logic, both for computati...