The Nature of Connectionism Architecture
   While connectionism as an AI theory comes in many different forms, they all seem to share the idea that the representation of information is based on weights of connections between processing units in a network, and information processing consists of (i) the units transforming their input into some output, which is then (ii) modulated by the weights of connections as inputs to other units. Connectionist theories especially emphasize a form of learning in which continuous functions adjust the weights in the network. In some connectionist theories the above "pure" form is mixed with symbol manipulation processes. (Chandrasekaran, 1990, p. 21)

Historical dictionary of quotations in cognitive science. . 2015.

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