The synthesis of digital machines with provable epistemic properties
Proceedings of the 1986 Conference on Theoretical aspects of reasoning about knowledge
Operations Research
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Management Science
A Robust Layered Control System For a Mobile Robot
A Robust Layered Control System For a Mobile Robot
Cognition, Sociability, and Constraints
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Harnessing Models of Users' Goals to Mediate Clarification Dialog in Spoken Language Systems
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Planning-Task Transformations for Soft Deadlines
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Anytime synthetic projection: maximizing the probability of goal satisfaction
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
The STRIPS assumption for planning under uncertainty
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Coping with uncertainty in a control system for navigation and exploration
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
A logic and time nets for probabilistic inference
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Conversation as action under uncertainty
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A structured, probabilistic representation of action
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Robust planning in uncertain environments
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Dynamic network models for forecasting
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
A language for planning with statistics
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
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In designing autonomous agents that deal competently with issues involving time and space, there is a tradeoff to be made between guaranteed response-time reactions on the one hand, and flexibility and expressiveness on the other. We propose a model of action with probabilistic reasoning and decision analytic evaluation for use in a layered control architecture. Our model is well suited to tasks that require reasoning about the interaction of behaviors and events in a fixed temporal horizon. Decisions are continuously reevaluated, so that there is no problem with plans becoming obsolete as new information becomes available. In this paper, we are particularly interested in the trade-offs required to guarantee a fixed reponse time in reasoning about nondeterministic cause-and-eflect relationships. By exploiting approximate decision making processes, we are able to trade accuracy in our predictions for speed in decision making in order to improve expected performance in dynamic situations.