Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Abstract. Monads are a technique widely used in functional programming languages to address many different problems. This paper presents extensions, a functional-logic programming...
Abstract. Isabelle/HOL has recently acquired new versions of definitional packages for inductive datatypes and primitive recursive functions. In contrast to its predecessors and mo...
Abstract. We describe two methods on the basis of which efficient resolution decision procedures can be developed for a range of description logics. The first method uses an orderi...
Abstract. We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classi ed graph is represente...