DocumentCode :
905048
Title :
Progressive reasoning for real-time intelligent computing
Author :
MacLeod, Ian M. ; Lun, Vernon
Author_Institution :
Dept. of Electr. Eng., Univ. of Witwatersrand, Johannesburg, South Africa
Volume :
12
Issue :
2
fYear :
1992
fDate :
4/1/1992 12:00:00 AM
Firstpage :
79
Lastpage :
83
Abstract :
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.<>
Keywords :
inference mechanisms; knowledge based systems; real-time systems; autonomous vehicle collision detection; collision avoidance; inference; intermediate suboptimal solutions; progressive reasoning; real-time intelligent computing; Artificial intelligence; Automatic control; Automation; Control systems; Expert systems; Fasteners; Intelligent control; Modems; Real time systems; Size control;
fLanguage :
English
Journal_Title :
Control Systems, IEEE
Publisher :
ieee
ISSN :
1066-033X
Type :
jour
DOI :
10.1109/37.126860
Filename :
126860
Link To Document :
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