Neural-Symbolic Cognitive Reasoning (Cognitive Technologies)

Price: $99.99 - $74.83
(as of Oct 28, 2025 13:27:22 UTC - Details)

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.

Publisher ‏ : ‎ Springer
Publication date ‏ : ‎ November 21, 2008
Edition ‏ : ‎ 2009th
Language ‏ : ‎ English
Print length ‏ : ‎ 198 pages
ISBN-10 ‏ : ‎ 3540732454
ISBN-13 ‏ : ‎ 978-3540732457
Item Weight ‏ : ‎ 1.08 pounds
Dimensions ‏ : ‎ 6.14 x 0.5 x 9.21 inches
Part of series ‏ : ‎ Cognitive Technologies
Best Sellers Rank: #4,358,164 in Books (See Top 100 in Books) #1,489 in Mathematical Logic #2,588 in Philosophy of Logic & Language #6,976 in Artificial Intelligence & Semantics
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Price: $99.99 - $74.83
(as of Oct 28, 2025 13:27:22 UTC - Details)