Neural-Symbolic Cognitive Reasoning - Couverture souple

D'Avila Garcez, Artur S.; Lamb, Luís C.; Gabbay, Dov M.

Couverture souple

ISBN 10 : 3642092292 ISBN 13 : 9783642092299

Editeur : Springer, 2010

Synopsis

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 using a sound, neural-symbolic integration methodology, and it focuses on the benefits of integrating effective robust learning with expressive reasoning capability.

A propos du livre

Présentation de l'éditeur

This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 3642092292
• ISBN 13: 9783642092299
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 212
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne