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Progressive reasoning for real-time intelligent computing

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2 Author(s)
MacLeod, I.M. ; Dept. of Electr. Eng., Univ. of Witwatersrand, Johannesburg, South Africa ; Lun, V.

It is argued that the success of real-time intelligent computing hinges on reconciling the unpredictability and vigor of the inference process with the real-time requirement that control system responses must be both appropriate and timely. The use of progressive reasoning, which provides a means of relaxing the demands made on the inference process without violating real-time constraints, is considered. It is a technique that successively refines a solution while making available intermediate, albeit suboptimal, solutions. Factors that influence the successful use of progressive reasoning are examined. A small case study involving autonomous vehicle collision detection and avoidance is presented to illustrate the use of progressive reasoning in a typical automation environment.<>

Published in:

Control Systems, IEEE  (Volume:12 ,  Issue: 2 )

Date of Publication:

April 1992

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