Deep Fusion of Computational and Symbolic Processing

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Furuhashi, Takeshi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tano, Shun'Ichi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jacobsen, Hans-Arno (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2001.
• Έκδοση: 1st ed. 2001.
• Σειρά: Studies in Fuzziness and Soft Computing, 59
• Θέματα: Computer programming.; Artificial intelligence.; Programming Techniques.; Artificial Intelligence.

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...