Navigationalpath planning is a classicalproblem in autonomous mobile robotics. Most AI approachesto path planning use goal-directedheuristicsearch of problem spaces defined by spa...
Ashok K. Goel, Michael W. Donnellan, Nancy Vazquez...
This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strate...
Constraint satisfaction technology emerged from AI research. Its practical success is based on integration of sophisticated search with consistency techniques reducing the search ...
One of the principal advantages of parallelizing a rule-based system, or more generally, any A.I. system, is the ability to pursue alternate search paths concurrently. Conventiona...
This paper describes design criteria for creating highly embedded, interactive spaces that we call Intelligent Environments. The motivation for building these systems is to bring ...