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Titlebook: Computational Models of Learning; Leonard Bolc Book 1987 Springer-Verlag Berlin Heidelberg 1987 artificial intelligence.heuristics.intelli

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樓主: Limbic-System
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發(fā)表于 2025-3-25 04:56:12 | 只看該作者
22#
發(fā)表于 2025-3-25 09:06:21 | 只看該作者
https://doi.org/10.1007/978-3-642-52196-6em solving heuristics results in two transfer mechanisms; one based on the interplay between conjectures and refutations, and one based on the partitioning of a goal into independently realizable parts or subgoals. First, rules called . produce suggestions about which operator(s) should be considere
23#
發(fā)表于 2025-3-25 15:06:43 | 只看該作者
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發(fā)表于 2025-3-25 18:12:36 | 只看該作者
High Performance Proton Acceleratorsevelopment. A partial theory, and computer models embodying aspects of it, were developed in previous phases of the programme (Wolff, 1982) and tested in restricted domains using artificial languages in the main. The aim here is to show how the previously established framework of ideas may be extend
25#
發(fā)表于 2025-3-25 22:11:09 | 只看該作者
https://doi.org/10.1007/978-3-642-82742-6artificial intelligence; heuristics; intelligence; knowledge; learning; machine learning; optimization
26#
發(fā)表于 2025-3-26 02:03:52 | 只看該作者
978-3-642-82744-0Springer-Verlag Berlin Heidelberg 1987
27#
發(fā)表于 2025-3-26 08:12:51 | 只看該作者
Symbolic Computationhttp://image.papertrans.cn/c/image/232841.jpg
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29#
發(fā)表于 2025-3-26 15:04:35 | 只看該作者
Conference proceedings 2019 Paris, France, in November 2018..The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for ne
30#
發(fā)表于 2025-3-26 20:11:15 | 只看該作者
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