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

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樓主: brachytherapy
41#
發(fā)表于 2025-3-28 17:02:47 | 只看該作者
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
42#
發(fā)表于 2025-3-28 21:21:56 | 只看該作者
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
43#
發(fā)表于 2025-3-29 01:50:38 | 只看該作者
44#
發(fā)表于 2025-3-29 03:14:55 | 只看該作者
45#
發(fā)表于 2025-3-29 09:01:45 | 只看該作者
46#
發(fā)表于 2025-3-29 11:38:26 | 只看該作者
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.
47#
發(fā)表于 2025-3-29 16:15:06 | 只看該作者
48#
發(fā)表于 2025-3-29 22:26:11 | 只看該作者
49#
發(fā)表于 2025-3-30 03:19:41 | 只看該作者
50#
發(fā)表于 2025-3-30 07:52:09 | 只看該作者
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.
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