Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
The idea of interactional trajectories through interfaces has emerged as a sensitizing concept from recent studies of tangible interfaces and interaction in museums and galleries....
Steve Benford, Gabriella Giannachi, Boriana Koleva...
Abstract. We consider enhancing with privacy concerns a large class of auctions, which include sealed-bid single-item auctions but also general multi-item multi-winner auctions, ou...
Peter Bro Miltersen, Jesper Buus Nielsen, Nikos Tr...
— Current work is described wherein simplified versions of the Novamente Cognition Engine (NCE) are being used to control virtual agents in virtual worlds such as game engines an...