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Deep Fusion of Computational and Symbolic Processing
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Deep Fusion of Computational and Symbolic Processing

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Description

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.
Release date NZ
December 12th, 2000
Audience
  • Professional & Vocational
Contributors
  • Edited by Hans-Arno Jacobsen
  • Edited by Shun'Ichi Tano
  • Edited by Takeshi Furuhashi
Edition
Softcover reprint of the original 1st ed. 2001
Illustrations
173 Illustrations, black and white; XIV, 256 p. 173 illus.
Pages
256
Dimensions
155x235x14
ISBN-13
9783662003732
Product ID
21577561

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