This paper presents an AI model of integrated planning and reaction based on neuropsychological theories of similar human behavior. The model forges a link between frontal lobe mo...
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Anytime algorithms, whose quality of results improves gradually as computation time increases, provide useful performance components for timecritical planning and control of robot...
This paper describes PEGASUS, a spoken language interface for on-line air travel planning that we have recently developed. PEGASUSleverages off our spoken language technology deve...
Victor Zue, Stephanie Seneff, Joseph Polifroni, Mi...
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...