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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

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Neural-Symbolic Cognitive Reasoning (Hardcover, 2009 ed.) Loot Price: R2,389
Discovery Miles 23 890
Neural-Symbolic Cognitive Reasoning (Hardcover, 2009 ed.): Artur S. d'Avila Garcez, Luis C. Lamb, Dov M. Gabbay

Neural-Symbolic Cognitive Reasoning (Hardcover, 2009 ed.)

Artur S. d'Avila Garcez, Luis C. Lamb, Dov M. Gabbay

Series: Cognitive Technologies

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Loot Price R2,389 Discovery Miles 23 890 | Repayment Terms: R224 pm x 12*

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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 on applications of cognitive, hybrid and artificial intelligence systems.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Cognitive Technologies
Release date: October 2008
First published: 2009
Authors: Artur S. d'Avila Garcez • Luis C. Lamb • Dov M. Gabbay
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Hardcover
Pages: 198
Edition: 2009 ed.
ISBN-13: 978-3-540-73245-7
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 3-540-73245-4
Barcode: 9783540732457

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