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- W2099846472 abstract "This paper discusses the role of prediction as the key process underlying the function of an intelligent machine. A model of a neuron is presented which exhibits properties of memory and learning. The formalism of the calculus of probability allows us to interpret 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." @default.
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- W2099846472 title "Design principles for an intelligent machine" @default.
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- W2099846472 doi "https://doi.org/10.1109/tit.1962.1057751" @default.
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