This paper reports the results of an experiment to compare three different selection techniques in a tabletop tangible augmented reality interface. Object selection is an importan...
Julian Looser, Mark Billinghurst, Raphael Grasset,...
In this paper, we consider social peer-to-peer (P2P) networks, where peers are sharing their resources (i.e., multimedia content and upload bandwidth). In the considered P2P netwo...
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Multiagent resource allocation is a timely and exciting area of research at the interface of Computer Science and Economics. One of the main challenges in this area is the high co...
One important aspect in directing cognitive robots or agents is to formally specify what is expected of them. This is often referred to as goal specification. For agents whose act...