Download eBook Free: https://ouo.io/mS2R0y Neural-Symbolic Cognitive Reasoning By: Artur S. D'Avila Garcez; Luís C. Lamb; Dov M. Gabbay Publisher: Springer Print ISBN: 9783540732457, 3540732454 eText ISBN: 9783540732464, 3540732462 Copyright year: 2009 Format: PDF Available from $ 84.99 USD SKU 9783540732464 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.
