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AAMAS
1999
Springer
13 years 9 months ago
Making Complex Articulated Agents Dance
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...
ATAL
2000
Springer
14 years 2 months ago
Planning-Task Transformations for Soft Deadlines
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...
Sven Koenig
FLAIRS
2009
13 years 7 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
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...
Matthew Molineaux, David W. Aha, Gita Sukthankar
IPPS
2003
IEEE
14 years 3 months ago
New Dynamic Heuristics in the Client-Agent-Server Model
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...
Yves Caniou, Emmanuel Jeannot
LOGCOM
1998
132views more  LOGCOM 1998»
13 years 9 months ago
Agents That Reason and Negotiate by Arguing
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