Neural-Symbolic Learning Systems Foundations and Applications |
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Author:
| Garcez, Artur S. d'Avila Broda, Krysia B. Gabbay, Dov M. |
Series title: | Perspectives in Neural Computing Ser. |
ISBN: | 978-1-85233-512-0 |
Publication Date: | Aug 2002 |
Publisher: | Springer London, Limited
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Imprint: | Springer |
Book Format: | Paperback |
List Price: | USD $169.99 |
Book Description:
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Computing Science and Artificial Intelligence are concerned with producing devices that help and/or replace human beings in their daily activities. To be successful, adequate modelling of these activities needs to be carried out and this has accelerated the development of both old and new disciplines, including Logic and Computation, Neural Networks, Genetic Algorithms and Probabilistic/Casual Networks. This book looks at how these techniques could complement each other and how, by...
More DescriptionComputing Science and Artificial Intelligence are concerned with producing devices that help and/or replace human beings in their daily activities. To be successful, adequate modelling of these activities needs to be carried out and this has accelerated the development of both old and new disciplines, including Logic and Computation, Neural Networks, Genetic Algorithms and Probabilistic/Casual Networks. This book looks at how these techniques could complement each other and how, by understanding the role of each in a particular application, we can pave the way towards the development of more effective intelligent systems.