Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
| Original language | English |
|---|---|
| Title | IJCCI 2009: Proceedings of the International Joint Conference on Computational Intelligence |
| Editors | A Dourado, A Rosa, K Madani |
| Place of publication | SETUBAL |
| Publisher | Institute for Systems and Technologies of Information, Control and Communication |
| Publication date | 2009 |
| Pages | 502-507 |
| Number of pages | 6 |
| ISBN (Print) | 978-989-674-014-6 |
| State | Published |
| Conference | 1st International Joint Conference on Computational Intelligence |
|---|---|
| City | Funchal |
| Period | 5/10/09 → 7/10/09 |
| Other |
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.