Abstract
It has been one of the great challenges of neuro-symbolic integration to represent recursive logic programs using neural networks of finite size. In this paper, we propose to implement neural networks that can process recursive programs viewed as inductive definitions.
Original language | English |
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Title of host publication | Artificial Neural Networks-Icann 2010, Pt I |
Editors | K Diamantaras, W Duch, LS Iliadis |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 301-304 |
Number of pages | 4 |
ISBN (Print) | 9783642158186 |
DOIs | |
Publication status | Published - 2010 |
Event | 20th International Conference on Artificial Neural Networks - Thessaloniki, Greece Duration: 15 Sept 2010 → 18 Sept 2010 http://delab.csd.auth.gr/icann2010/index.html |
Conference
Conference | 20th International Conference on Artificial Neural Networks |
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Abbreviated title | 20th ICANN 2010 |
Country/Territory | Greece |
City | Thessaloniki |
Period | 15/09/10 → 18/09/10 |
Internet address |
Keywords
- Neurosymbolic integration
- Structured learning
- Mathematical theory of neurocomputing
- Logic programming