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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
Pages502-507
Number of pages6
ISBN (Print)9789896740146
StatePublished

Conference

Conference1st International Joint Conference on Computational Intelligence
Abbreviated titleIJCCI 2009
CountryPortugal
CityFunchal
Period5/10/097/10/09

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.

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