DocumentCode
280291
Title
Machines can learn actions but can they classify situations?
Author
Fogarty, Terence C.
Author_Institution
Bristol Polytech., UK
fYear
1990
fDate
33052
Firstpage
42461
Lastpage
42463
Abstract
The use of the genetic algorithm for learning individual actions in a rule-based process control system is described. Its use for learning a whole set of actions for controlling a dynamical system is then described with two possible classifications of the state space. How the genetic algorithm can be used to learn classifications in a database application is then outlined and the relevance of this to state-space classification shown. Finally, the difficulties of combining the different processes is discussed
Keywords
knowledge based systems; learning systems; process computer control; state-space methods; classifications; genetic algorithm; machine learning; rule-based process control system; state space;
fLanguage
English
Publisher
iet
Conference_Titel
Machine Learning, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
190512
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