Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
In this paper we explore a principled, integrated approach to the process of creating complex planning applications and introduce and evaluate a new hybrid task-reduction planner ...
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...
Autonomous robots offer alluring perspectives in numerous application domains: space rovers, satellites, medical assistants, tour guides, etc. However, a severe lack of trust in t...
Previous research in Group Support Systems does not include a design theory for GSS-enabled meetings. As a consequence, problems are experienced in the design, implementation and ...