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Neural Symbolic Cognitive Reasoning by Davila Garcez (28 results)
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Neural-Symbolic Cognitive Reasoning (Cognitive Technologies)
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Neural-Symbolic Cognitive Reasoning
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Neural-Symbolic Cognitive Reasoning (Cognitive Technologies)
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642092292 ISBN 13: 9783642092299
Language: English
£ 66.77
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 bookwill 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.
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540732454 ISBN 13: 9783540732457
Language: English
£ 76.31
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 bookwill 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.
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642092292 ISBN 13: 9783642092299
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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Neural-Symbolic Cognitive Reasoning (Cognitive Technologies)
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3642092292 ISBN 13: 9783642092299
Language: English
Paperback. Condition: Brand New. 198 pages. 9.00x6.00x0.48 inches. In Stock.
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2008, 2008
ISBN 10: 3540732454 ISBN 13: 9783540732457
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 76.31
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Add to basketBuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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Neural-Symbolic Cognitive Reasoning
Published by Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg, 2008
ISBN 10: 3540732454 ISBN 13: 9783540732457
Language: English
Hardcover. Condition: Brand New. 1st edition. 198 pages. 9.29x5.98x0.63 inches. In Stock.
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Neural-Symbolic Cognitive Reasoning
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642092292 ISBN 13: 9783642092299
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 bookwill 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. 212 pp. Englisch.
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642092292 ISBN 13: 9783642092299
Language: English
£ 57.35
Convert currency£ 21.63 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book to offer a self-contained presentation of neural network models for a number of computer science logics, including modal, temporal, and epistemic logicsIncludes supplementary material: sn.pub/extrasHumans are often ex.
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Neural-Symbolic Cognitive Reasoning
Published by Springer Berlin Heidelberg Okt 2008, 2008
ISBN 10: 3540732454 ISBN 13: 9783540732457
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 76.31
Convert currency£ 9.52 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 bookwill 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. 212 pp. Englisch.
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Condition: New. pp. 212 Illus. This item is printed on demand.
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Add to basketCondition: New. PRINT ON DEMAND pp. 212.
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Condition: New. Print on Demand pp. 212 Illus. This item is printed on demand.
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Add to basketCondition: New. PRINT ON DEMAND pp. 212.
