In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
This paper presents a general methodology to mapping EuroWordNets (Vossen, 1998) to the Suggested Upper Merged Ontology (SUMO; (Niles and Pease, 2001)), and we show its applicatio...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Under natural viewing conditions, human observers shift their gaze to allocate processing resources to subsets of the visual input. Many computational models try to predict such v...
— This paper presents a method for Simultaneous Localization and Mapping (SLAM), relying on a monocular camera as the only sensor, which is able to build outdoor, closed-loop map...
Laura A. Clemente, Andrew J. Davison, Ian D. Reid,...