To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
The major purpose of our research is to study cooperative planning for multi-agent system in time-critical environment. The RoboCup simulator league is the most interesting target ...
Through ethnographic research, we document the rise of personal social networks in the workplace, which we call intensional networks. Paradoxically, we find that the most fundament...
Bonnie A. Nardi, Steve Whittaker, Heinrich Schwarz
During Spring 1998, we embarked on pedagogical journey into unknown terrains -- the terrains of collaborative teaching and World Wide Web instruction. In this paper we present a j...
Lifelike animated agents for knowledge-based learning environments can provide timely, customized advice to support students' problem solving. Because of their strong visual ...
James C. Lester, Jennifer L. Voerman, Stuart G. To...