Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
In this article we describe two core ontologies of law that specify knowledge that is common to all domains of law. The first one, FOLaw describes and explains dependencies between...
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 ...
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...