The use of dynamics in an intelligent controller for a space faring rescue robot
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
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Continual coordination through shared activities
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
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Journal of Artificial Intelligence Research
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IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Model compilation for real-time planning and diagnosis with feedback
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A model-based approach to reactive self-configuring systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Fast context switching in real-time propositional reasoning
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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The paper presents a way to robustly command a system of systems as a single entity. Instead of modeling each component system in isolation and then manually crafting interaction protocols, this approach starts with a model of the collective population as a single system. By compiling the model into separate elements for each component system and utilizing a teamwork model for coordination, it circumvents the complexities of manually crafting robust interaction protocols. The resulting systems are both globally responsive by virtue of a team oriented interaction model and locally responsive by virtue of a distributed approach to model-based fault detection, isolation, and recovery.