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Neural-Symbolic Cognitive Reasoning
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 questio...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Cognitive Technologies,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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|---|---|---|---|
| 001 | 978-3-540-73246-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220116111917.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2009 gw | s |||| 0|eng d | ||
| 020 | |a 9783540732464 |9 978-3-540-73246-4 | ||
| 024 | 7 | |a 10.1007/978-3-540-73246-4 |2 doi | |
| 050 | 4 | |a Q334-342 | |
| 050 | 4 | |a TA347.A78 | |
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| 100 | 1 | |a D'Avila Garcez, Artur S. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Neural-Symbolic Cognitive Reasoning |h [electronic resource] / |c by Artur S. D'Avila Garcez, Luís C. Lamb, Dov M. Gabbay. |
| 250 | |a 1st ed. 2009. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2009. | |
| 300 | |a XIV, 198 p. 53 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Cognitive Technologies, |x 2197-6635 | |
| 505 | 0 | |a Logic and Knowledge Representation -- Artificial Neural Networks -- Neural-Symbolic Learning Systems -- Connectionist Modal Logic -- Connectionist Temporal Reasoning -- Connectionist Intuitionistic Reasoning -- Applications of Connectionist Nonclassical Reasoning -- Fibring Neural Networks -- Relational Learning in Neural Networks -- Argumentation Frameworks as Neural Networks -- Reasoning about Probabilities in Neural Networks -- Conclusions. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Logic. | |
| 650 | 0 | |a Machine theory. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Theory of Computation. |
| 650 | 2 | 4 | |a Logic. |
| 650 | 2 | 4 | |a Formal Languages and Automata Theory. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 700 | 1 | |a Lamb, Luís C. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Gabbay, Dov M. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642092299 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540868057 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540732457 |
| 830 | 0 | |a Cognitive Technologies, |x 2197-6635 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-73246-4 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||