Intelligent monitoring and control

  • Authors:

  • Barbara Hayes-Roth;Richard Washington;Rattikorn Hewett;Micheal Hewett;Adam Seiver

  • Affiliations:

  • Knowledge Systems Laboratory, Stanford University, Palo Alto, California;Knowledge Systems Laboratory, Stanford University, Palo Alto, California;Knowledge Systems Laboratory, Stanford University, Palo Alto, California;Knowledge Systems Laboratory, Stanford University, Palo Alto, California;Palo Alto Veterans Administration, Medical Center, Palo Alto, California

  • Venue:
  • IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1989

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Abstract

Intelligent monitoring and control involves observing and guiding the behavior of a physical system toward some objective, with real-time constraints on the utility of particular actions. Generic functional requirements for this task include: integration of perception, reasoning, and action; integration of multiple reasoning activities; reasoning about complex, time-varying systems; coordination of multiple response modes; dynamic allocation of limited computational resources. We illustrate these requirements in the domain of patient monitoring in a surgical intensive care unit (SICU). We propose a generic architecture, designed and implemented in layers: top-level system organization; reasoning architecture; generic reasoning skills and knowledge representation; first-principles knowledge of physical systems; domain knowledge. We illustrate the architecture in the "Guardian" system for SICU monitoring and describe Guardian's performance on an illustrative scenario. Finally, we discuss the generality and limitations of the proposed architecture.