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Connectionist model Any of a class of theories hypothesizing that knowledge is encoded by the connections among representations stored in the brain rather than in the representations themselves. Connectionist models suggest that knowledge is distributed rather than being localized and that it is retrieved through spreading activation among connections. The connectionist model concept has been extended to artificial intelligence, particularly to its neural network models of problem solving. With the growing amount of accessible data and ever stronger computing power, connectionist models gain considerable momentum in recent years incorporating AI. This new approach seems to solve many problems in symbolic AI but raises many new issues at the same time
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