Abstract
Neuro-Symbolic Integration is an interdisciplinary area that endeavours to unify neural networks and symbolic logic. The goal is to create a system that combines the advantages of neural networks (adaptive behaviour, robustness, tolerance of noise and probability) and symbolic logic (validity of computations, generality, higher-order reasoning). Several different approaches have been proposed in the past. However, the existing neuro-symbolic networks provide only a limited coverage of the techniques used in computational logic. In this paper, we outline the areas of neuro-symbolism where computational logic has been implemented so far, and analyse the problematic areas. We show why certain concepts cannot be implemented using the existing neuro-symbolic networks, and propose four main improvements needed to build neuro-symbolic networks of the future.
| Original language | English |
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| Title of host publication | IJCCI 2009 - Proceedings of the International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, October 5-7, 2009 |
| Editors | António Dourado Correia, Agostinho C. Rosa, Kurosh Madani |
| Publisher | INSTICC Press |
| Pages | 502-507 |
| Number of pages | 6 |
| ISBN (Print) | 9789896740146 |
| Publication status | Published - 2009 |
| Event | International Joint Conference on Computational Intelligence 2009 - Funchal, Portugal Duration: 5 Oct 2009 → 7 Oct 2009 |
Conference
| Conference | International Joint Conference on Computational Intelligence 2009 |
|---|---|
| Abbreviated title | IJCCI 2009 |
| Country/Territory | Portugal |
| City | Funchal |
| Period | 5/10/09 → 7/10/09 |
Keywords
- Computational Logic in Neural Networks
- Neuro-Symbolic Networks
- Connectionism
- Hybrid networks