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Deep Fusion of Computational and Symbolic Processing
Seller: Munster & Company LLC, ABAA/ILAB, Corvallis, OR, U.S.A.
Association Member: ABAA CBA ILAB
Seller rating 5 out of 5 stars
Condition: Good. Physica Verlag, 2001. Cover/spine edges/corners lightly rubbed/bumped; binding tight; cover, edges, and interior intact and clean. hardcover. Good.
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Condition: New. pp. xiv + 255 1st Edition.
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US$ 34.29
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Add to basketCondition: New. pp. xiv + 255 Illus.
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Add to basketCondition: New. pp. xiv + 255.
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Condition: New. SUPER FAST SHIPPING.
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US$ 59.54
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Deep Fusion of Computational and Symbolic Processing (Studies in Fuzziness and Soft Computing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Condition: New. pp. 272.
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Deep Fusion of Computational and Symbolic Processing
Published by Physica-Verlag HD Jul 2012, 2012
ISBN 10: 3662003732 ISBN 13: 9783662003732
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 64.54
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Add to basketTaschenbuch. Condition: Neu. Neuware -Symbolic processing has limitations highlighted by the symbol grounding problem. Computational processing methods, like fuzzy logic, neural networks, and statistical methods have appeared to overcome these problems. However, they also suffer from drawbacks in that, for example, multi-stage inference is difficult to implement. Deep fusion of symbolic and computational processing is expected to open a new paradigm for intelligent systems. Symbolic processing and computational processing should interact at all abstract or computational levels. For this undertaking, attempts to combine, hybridize, and fuse these processing methods should be thoroughly investigated and the direction of novel fusion approaches should be clarified. This book contains the current status of this attempt and also discusses future directions.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
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US$ 126.56
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Add to basketPaperback. Condition: Like New. Like New. book.
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Deep Fusion of Computational and Symbolic Processing
Published by Physica-Verlag, Physica-Verlag HD, Physica Jul 2012, 2012
ISBN 10: 3662003732 ISBN 13: 9783662003732
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 64.54
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Symbolic processing has limitations highlighted by the symbol grounding problem. Computational processing methods, like fuzzy logic, neural networks, and statistical methods have appeared to overcome these problems. However, they also suffer from drawbacks in that, for example, multi-stage inference is difficult to implement. Deep fusion of symbolic and computational processing is expected to open a new paradigm for intelligent systems. Symbolic processing and computational processing should interact at all abstract or computational levels. For this undertaking, attempts to combine, hybridize, and fuse these processing methods should be thoroughly investigated and the direction of novel fusion approaches should be clarified. This book contains the current status of this attempt and also discusses future directions. 256 pp. Englisch.
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US$ 88.46
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Add to basketCondition: New. Print on Demand pp. 272 145 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Add to basketCondition: New. PRINT ON DEMAND pp. 272.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First publication of recent results of study under the name of integration of computational processing and symbolic processingThorough coverage of recent attempts to combine/hybridize/fuse symbolic processing and computational processingSymbolic pro.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Symbolic processing has limitations highlighted by the symbol grounding problem. Computational processing methods, like fuzzy logic, neural networks, and statistical methods have appeared to overcome these problems. However, they also suffer from drawbacks in that, for example, multi-stage inference is difficult to implement. Deep fusion of symbolic and computational processing is expected to open a new paradigm for intelligent systems. Symbolic processing and computational processing should interact at all abstract or computational levels. For this undertaking, attempts to combine, hybridize, and fuse these processing methods should be thoroughly investigated and the direction of novel fusion approaches should be clarified. This book contains the current status of this attempt and also discusses future directions.
