On hybrid connectionist-symbolic models

Sosík Petr: On hybrid connectionist-symbolic models. In: Acta cybernetica, (13) 2. pp. 159-172. (1997)

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There are many similarities between grammar systems and artificial neural networks: parallelism, independently working elements (grammars/neurons), communication of the elements, absence of centralized control. On the other hand, there are crucial differences between symbolic and quantitative data processing. We will try to give a brief overview of the methods of "building bridges" between symbolic and connectionist paradigm and to propose some recent results. After that, we will touch some essential problems, concerning incorporation of accepting/generating grammar systems and neural network models.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 1997
Volume: 13
Number: 2
ISSN: 0324-721X
Page Range: pp. 159-172
Language: English
Place of Publication: Szeged
Related URLs: http://acta.bibl.u-szeged.hu/38504/
Uncontrolled Keywords: Számítástechnika, Kibernetika
Additional Information: Bibliogr.: p. 170-172. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2016. Oct. 15. 12:26
Last Modified: 2022. Jun. 13. 15:26
URI: http://acta.bibl.u-szeged.hu/id/eprint/12584

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