1 option
Deep fusion of computational and symbolic processing / Takeshi Furuhashi, Shun'Ichi, Tano, Hans-Arno Jacobsen, editors.
LIBRA QA76.9.S63 D44 2001
Available from offsite location
- Format:
- Book
- Language:
- English
- Subjects (All):
- Soft computing.
- Neural networks (Computer science).
- Fuzzy systems.
- Physical Description:
- xiv, 255 pages : illustrations ; 24 cm
- Place of Publication:
- Heidelberg ; New York : Physica-Verlag, 2001.
- 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.
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Benjamin Franklin Library Fund.
- ISBN:
- 3790813397
- OCLC:
- 45248319
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.