Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Separation logic is a Hoare-style logic for reasoning about programs with heap-allocated mutable data structures. As a step toward extending separation logic to high-level language...
Jan Schwinghammer, Lars Birkedal, Bernhard Reus, H...
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
Abstract. In this paper we revisit Logic Programming under the answer-set semantics - or Answer-Set Programming - and its extension Evolving Logic Programming, two languages that u...
In this paper we address several issues of rule modeling on the basis of UML. We discuss the relationship between UML class models and OWL vocabularies. We show how certain rules c...