In this paper we argue that for realistic applications involving default reasoning it is necessary to reason about the priorities of defaults. Existing approaches require the know...
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Generality or refinement relations between different theories have important applications to generalization in inductive logic programming, refinement of ontologies, and coordin...
Abstract. In this paper, we present a logic R for rule bases by introducing a set of rule connectives. We define both the models and extensions of a rule base. The semantics of ex...
Recently, Lakemeyer and Levesque proposed a logic of onlyknowing which precisely captures three forms of nonmonotonic reasoning: Moore's Autoepistemic Logic, Konolige's ...