A blackboard architecture for control
Artificial Intelligence
A robot ping-pong player: experiment in real-time intelligent control
A robot ping-pong player: experiment in real-time intelligent control
An architecture for adaptive intelligent systems
Artificial Intelligence
Real-time metareasoning with dynamic trade-off evaluation
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Qualitative modeling as a paradigm for diagnosis and prediction in critical care environments
Artificial Intelligence in Medicine
Guardian: A prototype intelligent agent for intensive-care monitoring
Artificial Intelligence in Medicine
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A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain responsive to important or unexpected events in the data. This paper describes some simple approaches to data management, shows how they can fail to be both adequately selective and responsive, and presents an approach that improves on the simple approaches by making use of information about the system's resources and ongoing tasks. The new approach has been applied in a system for monitoring patients in a surgical intensive-care unit.