Deep Fusion of Computational and Symbolic Processing:
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...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg
Physica-Verlag HD
2001
|
| Series: | Studies in Fuzziness and Soft Computing
59 |
| Subjects: | |
| Online Access: | FHI01 BTU01 Volltext |
| Summary: | 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 |
| Physical Description: | 1 Online-Ressource (XIV, 256 p. 173 illus) |
| ISBN: | 9783790818376 |
| DOI: | 10.1007/978-3-7908-1837-6 |
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| id | DE-604.BV045149583 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790818376 |
| language | English |
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| physical | 1 Online-Ressource (XIV, 256 p. 173 illus) |
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| publisher | Physica-Verlag HD |
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| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Deep Fusion of Computational and Symbolic Processing edited by Takeshi Furuhashi, Shun’Ichi Tano, Hans-Arno Jacobsen Heidelberg Physica-Verlag HD 2001 1 Online-Ressource (XIV, 256 p. 173 illus) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 59 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 Computer Science Programming Techniques Artificial Intelligence (incl. Robotics) Computer science Computer programming Artificial intelligence Furuhashi, Takeshi edt Tano, Shun’Ichi edt Jacobsen, Hans-Arno edt Erscheint auch als Druck-Ausgabe 9783662003732 https://doi.org/10.1007/978-3-7908-1837-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Deep Fusion of Computational and Symbolic Processing Computer Science Programming Techniques Artificial Intelligence (incl. Robotics) Computer science Computer programming Artificial intelligence |
| title | Deep Fusion of Computational and Symbolic Processing |
| title_auth | Deep Fusion of Computational and Symbolic Processing |
| title_exact_search | Deep Fusion of Computational and Symbolic Processing |
| title_full | Deep Fusion of Computational and Symbolic Processing edited by Takeshi Furuhashi, Shun’Ichi Tano, Hans-Arno Jacobsen |
| title_fullStr | Deep Fusion of Computational and Symbolic Processing edited by Takeshi Furuhashi, Shun’Ichi Tano, Hans-Arno Jacobsen |
| title_full_unstemmed | Deep Fusion of Computational and Symbolic Processing edited by Takeshi Furuhashi, Shun’Ichi Tano, Hans-Arno Jacobsen |
| title_short | Deep Fusion of Computational and Symbolic Processing |
| title_sort | deep fusion of computational and symbolic processing |
| topic | Computer Science Programming Techniques Artificial Intelligence (incl. Robotics) Computer science Computer programming Artificial intelligence |
| topic_facet | Computer Science Programming Techniques Artificial Intelligence (incl. Robotics) Computer science Computer programming Artificial intelligence |
| url | https://doi.org/10.1007/978-3-7908-1837-6 |
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