Design principles for an intelligent machine.

by M. E. Maron

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A discussion of the role of prediction as the key process underlying the function of an intelligent machine. A model of a "neuron" is presented that exhibits properties of memory and learning. The formalism of the calculus of probability allows an interpretation of the behavior of a neuron in such a way as to justify how a network of such elements can be organized so that it can learn to predict.

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