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Neurons or symbols

Neurons or symbols: why does OR remain exclusive?

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Original languageEnglish
Title of host publicationIJCCI 2009: Proceedings of the International Joint Conference on Computational Intelligence
EditorsA Dourado, A Rosa, K Madani
Place of publicationSetubal
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date2009
Number of pages6
ISBN (Print)9789896740146


Conference1st International Joint Conference on Computational Intelligence
Abbreviated titleIJCCI 2009


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.


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