Abstract
One of man’s greatest assets is his ability to acquire information from his environment and to make intelligent decisions on the basis of this information. It would be extremely desirable if man-made systems could be built with such learning capability. We understand that learning is not a mathematical operation, such as multiplication, differentiation and integration; nor is it an engineering process, such as computation, identification and control. Rather, it is a psychology term, which describes a complex dispositional property of behavior. Consequently, the mechanization of a learning process is by no means a trivial task. This paper introduces a new approach to learning control by making use of associative retrieval and inductive inference.
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References
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© 1971 Plenum Press, New York
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Tou, J.T. (1971). Learning Control via Associative Retrieval and Inference. In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_21
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DOI: https://doi.org/10.1007/978-1-4615-7566-5_21
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-7568-9
Online ISBN: 978-1-4615-7566-5
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