Connectionism and artificial intelligence as cognitive models |
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Authors: | Daniel Memmi |
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Affiliation: | (1) LIMSI-CNRS, B.P. 133, 91403 Orsay, France |
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Abstract: | The current renewal of connectionist techniques using networks of neuron-like units has started to have an influence on cognitive modelling. However, compared with classical artificial intelligence methods, the position of connectionism is still not clear. In this article artificial intelligence and connectionism are systematically compared as cognitive models so as to bring out the advantages and shortcomings of each. The problem of structured representations appears to be particularly important, suggesting likely research directions. |
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Keywords: | Neural networks Artificial intelligence Representations Cognitive modelling Epistemology |
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