Planning and learning by analogical reasoning

This research monograph describes the integration of analogical and case-based reasoning into general problem solving and planning as a method of speedup learning. The method, based on derivational analogy, has been fully implemented in PRODIGY/ANALOGY and proven in practice to be amenable to scalin...

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Chi tiết về thư mục
Tác giả chính: Veloso, Manuela M., 1957-
Định dạng: Livre numérique
Ngôn ngữ:Anglais
Được phát hành: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Loạt:Lecture notes in computer science. Lecture notes in artificial intelligence 886
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Chú thích: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Planning and learning by analogical reasoning, Manuela M. Veloso, Berlin, Springer-Verlag, 1994, 1 vol. (XIII-181 p.), Lecture notes in computer science, 3-540-58811-6
• Planning and Learning by Analogical Reasoning, Texte imprimé, 9783662181089
Miêu tả
Tóm tắt:This research monograph describes the integration of analogical and case-based reasoning into general problem solving and planning as a method of speedup learning. The method, based on derivational analogy, has been fully implemented in PRODIGY/ANALOGY and proven in practice to be amenable to scaling up, both in terms of domain and problem complexity. In this work, the strategy-level learning process is cast for the first time as the automation of the complete cycle of construction, storing, retrieving, and flexibly reusing problem solving experience. The algorithms involved are presented in detail and numerous examples are given. Thus the book addresses researchers as well as practitioners.
Mô tả sách:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
số ISBN:9783540491095 (PDF)
số ISSN:1611-3349
2945-9141
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017