This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...
Previous CASC competitions have focused on proving difficult problems on small numbers of axioms. However, typical reasoning applications for expert systems rely on knowledge base...
Adam Pease, Geoff Sutcliffe, Nick Siegel, Steven T...
We present a novel reasoning calculus for Description Logics (DLs)--knowledge representation formalisms with applications in areas such as the Semantic Web. In order to reduce the ...
This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors...