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| Connectionist ： ウィキペディア英語版 |
Connectionism
Connectionism is a set of approaches in the fields of artificial intelligence, cognitive psychology, cognitive science, neuroscience, and philosophy of mind, that models mental or behavioral phenomena as the emergent processes of ''interconnected networks of simple units''. The term was introduced by Donald Hebb in 1940s. There are many forms of connectionism, but the most common forms use neural network models.
==Basic principles==
The central connectionist principle is that mental phenomena can be described by interconnected networks of simple and often uniform units. The form of the connections and the units can vary from model to model. For example, units in the network could represent neurons and the connections could represent synapses.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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