Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Abstract. In order to support co-located collaboration, many researchers are now investigating how to effectively augment tabletops with electronic displays. As far back as 1988, o...
Russell Kruger, M. Sheelagh T. Carpendale, Stacey ...
abstraction rules that hide the complexity of systems of components. We've begun this process in the domain of sensor/actuator network applications, observing that in manyappl...
Schema evolution poses serious challenges in historical data management. Traditionally historical data have been archived either by (i) migrating them into the current schema vers...
Hyun J. Moon, Carlo Curino, MyungWon Ham, Carlo Za...
The most important and interesting of the computing challenges we are facing are those that involve the problems and opportunities afforded by massive decentralization and disinte...