Recurrent Neural Networks and Super-Turing Interactive Computation

Détails

ID Serval
serval:BIB_AD0ED2EB0EFB
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Recurrent Neural Networks and Super-Turing Interactive Computation
Titre de la conférence
Artificial Neural Networks
Auteur(s)
Cabessa J., Villa A.E.P.
Editeur
Springer International Publishing
Adresse
Sofia, Bulgaria
ISBN
978-3-319-09902-6
978-3-319-09903-3
ISSN
2193-9349
2193-9357
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
4
Série
Springer Series in Bio-/Neuroinformatics
Pages
1-29
Langue
anglais
Résumé
We present a complete overview of the computational power of recurrent neural networks involved in an interactive bio-inspired computational paradigm. More precisely, we recall the results stating that interactive rational- and realweighted neural networks are Turing-equivalent and super-Turing, respectively.We further prove that interactive evolving neural networks are super-Turing, irrespective of whether their synaptic weights are modeled by rational or real numbers. These results show that the computational powers of neural nets involved in a classical or in an interactive computational framework follow similar patterns of characterization. They suggest that some intrinsic computational capabilities of the brain might lie beyond the scope of Turing-equivalent models of computation, hence surpass the potentialities every current standard artificial models of computation.
Web of science
Création de la notice
03/08/2017 16:04
Dernière modification de la notice
20/08/2019 15:17
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