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Real-time temporal and causal reasoning for intelligent control
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 198 - 206  
Year of Publication: 1989
ISBN:0-89791-320-5
Authors
Eckart Walther  GE Research and Development Center, Schenectady, NY
Vivek V. Badami  GE Research and Development Center, Schenectady, NY
James B. Comly  GE Research and Development Center, Schenectady, NY
Paul Nielsen  GE Research and Development Center, Schenectady, NY
Van-Duc Nguyen  GE Research and Development Center, Schenectady, NY
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

Automation of the control of complex systems has been achieved through the application of computers using such tools as closed-loop control, finite-state machines, etc. However, a number of tasks in the control of such processes must still be performed by human operators, resisting conventional automation efforts. These tasks usually involve unforeseen circumstances, such as defective controller hardware or unusual behavior of the application being controlled. Operators often use experience or heuristic reasoning to cope with these types of process deviations. In this paper, we will describe the theory and design of a generic temporal/causal system called TEMPROS (TEMporal PROgramming System) used to perform intelligent real-time control, capable of assuming many of the responsibilities that are currently exclusively performed by human operators. The system uses temporal propositions as its reasoning mechanism, deviating from current temporal reasoning systems by adding the new state “potentially true” to the truth value of a proposition. In addition, the system employs a plan hierarchy and a “lazy instantiation” mechanism to achieve the performance needed to make intelligent decisions in real time. We shall also outline the application of TEMPROS to the domain of growing gallium arsenide crystals using the LEC process.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
Allen
Allen, J.F., Maintaining Knowledge about Temporal Intervals, Readings in Knowledge Representation, Edited by R.J. Brachman and H.J. Levesque, Morgan Kaufman Publishers, 1985
 
Kahn and Gorry
Kahn, K., Gorry, G.A., Mechanizing Temporal Knowledge, Artificial Intelligence 2 (1971), 189-208
 
McDermott
McDermott, D., A Temporal Logic for Reasoning About Processes and Plans, Cognitive Science 6, 101-155 (1982)
 
Shoham
Shoham, Y., Reasoning about Causation in Knowledge Based Systems, 2nd Conference on Ai Applications, 1985

Collaborative Colleagues:
Eckart Walther: colleagues
Vivek V. Badami: colleagues
James B. Comly: colleagues
Paul Nielsen: colleagues
Van-Duc Nguyen: colleagues