Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formul...
Marilyn A. Walker, Jeanne Frommer, Shrikanth Naray...
Thepurposeof this paperis to extendverificationtests to systemswith multiple autonomousagent knowledge bases.Usinga classic approachto verification, this paperfocuseson tests conc...
Abstract. Lifelike animated agents for knowledge-based learning environments can provide timely, customized advice to support leaners' problem-solving activities. By drawing o...
Stuart G. Towns, Patrick J. Fitzgerald, James C. L...