Titlebook: Connectionistic Problem Solving; Computational Aspect Steven E. Hampson Book 1990 Birkhäuser Boston 1990 Extension.artificial intelligence.

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Lecture Notes in Computer Scienceformation and use of S-R associations. Since it is not strictly necessary for the acquisition of appropriate behavior, it is interesting to ask whether all (or any) organisms actually use such a mechanism, and if so to what extent. There are at least two good reasons why some organisms may not. Firs

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Languages acceptable with logarithmic space,se, but a goal. To take perhaps the simplest example, finger withdrawal was classically conditioned to a tone, using shock from a flat electrode as the US (Wickens, 1938). After training in a palm-down position, the response was tested in a palm-up position. The result was that the conditioned respo

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Other models of Turing machines, single generalization hypothesis can make repeated mistakes on the same input patterns, a situation which need not occur with specific instance learning. Perceptron training is good at learning generalizations, but poor at learning specific instances.

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Learning and Using Specific Instances, single generalization hypothesis can make repeated mistakes on the same input patterns, a situation which need not occur with specific instance learning. Perceptron training is good at learning generalizations, but poor at learning specific instances.