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Tools and experiments for hybrid neuro-symbolic processing

Identifieur interne : 00BB06 ( Main/Exploration ); précédent : 00BB05; suivant : 00BB07

Tools and experiments for hybrid neuro-symbolic processing

Auteurs : Frédéric Alexandre

Source :

RBID : CRIN:alexandre97c

English descriptors

Abstract

Symbolic and connectionist tools are widely used in the Artificial Intelligence (AI) domain. Both approaches report weaknesses to address the full range of capabilities required by this domain, and are often one with the other to overcome some limitations, but no extensive efforts have been done to give a wider view of the problem. More precisely, many ad hoc hybrid models were built from symbolic and connectionist tools, but few was said about the choice, integration and combination of such tools. Such was the goal of the European ESPRIT project MIX. We report here the main conclusions of the project, together with its results on a real-world application.


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Le document en format XML

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<div type="abstract" xml:lang="en" wicri:score="2261">Symbolic and connectionist tools are widely used in the Artificial Intelligence (AI) domain. Both approaches report weaknesses to address the full range of capabilities required by this domain, and are often one with the other to overcome some limitations, but no extensive efforts have been done to give a wider view of the problem. More precisely, many ad hoc hybrid models were built from symbolic and connectionist tools, but few was said about the choice, integration and combination of such tools. Such was the goal of the European ESPRIT project MIX. We report here the main conclusions of the project, together with its results on a real-world application.</div>
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