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- Toujours un magasin près de chez vous
73,95 €
+ 147 points
Format
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 198
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783642092299
- Date de parution :
- 18-11-10
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 303 g
