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