Abstract
Machines would be more useful if they could learn to
perform tasks for which they were not given precise
methods. Difficulties that attend giving a machine this
ability are discussed. It is proposed that the program
of a stored-program computer be gradually improved by a
learning procedure which tries many programs and
chooses, from the intructions that may occupy a given
location, the one most often associated with a
successful result. An experimental test of this
principle is described in detail.
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