We discuss the tradeo s involved in control of complex articulated agents, and present three implemented controllers for a complex task: a physically-based humanoid torso dancing ...
Maja J. Mataric, Victor B. Zordan, Matthew M. Will...
Agents often have preference models that are more complicated than minimizing the expected execution cost. In this paper, we study how they should act in the presence of uncertaint...
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
MCT is a widely used heuristic for scheduling tasks onto grid platforms. However, when dealing with many tasks, MCT tends to dramatically delay already mapped task completion time...
The need for negotiation in multi-agent systems stems from the requirement for agents to solve the problems posed by their interdependence upon one another. Negotiation provides a...
Simon Parsons, Carles Sierra, Nicholas R. Jennings