| 書目名稱 | Neural-Symbolic Cognitive Reasoning | | 編輯 | Artur S. d’Avila Garcez,Luís C. Lamb,Dov M. Gabbay | | 視頻video | http://file.papertrans.cn/664/663765/663765.mp4 | | 概述 | Includes supplementary material: | | 叢書名稱 | Cognitive Technologies | | 圖書封面 |  | | 描述 | .Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? ...The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and our ability to reason from what has been learned. This book is the first to offer a self-contained presentation of neural network models for a number of computer science logics, including modal, temporal, and epistemic logics. By using a graphical presentation, it explains neural networks through a sound neural-symbolic integration methodology, and it focuses on the benefits of integrating effective robust learning with expressive reasoning capabilities. ...The book?will be invaluable reading for academic researchers, graduate students, and senior undergraduates in computer science, artificial intelligence, machine learning, cognitive science and engineering. It will also be of interest to computational logicians, and professional specialists | | 出版日期 | Textbook 2009 | | 關鍵詞 | artificial intelligence; intelligence; knowledge representation; learning; logic; machine learning; modal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-73246-4 | | isbn_softcover | 978-3-642-09229-9 | | isbn_ebook | 978-3-540-73246-4Series ISSN 1611-2482 Series E-ISSN 2197-6635 | | issn_series | 1611-2482 | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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