The Convergence Argument in Mind-Modelling: Scaling Up from Toyland to the Total Turing Test

Harnad, S. (1994). « The Convergence Argument in Mind-Modelling: Scaling Up from Toyland to the Total Turing Test ». Cognoscenti: Bulletin of the Toronto Cognitive Science Society, 2, pp. 35-39.

Fichier(s) associé(s) à ce document :

	HTML Télécharger (31kB)

Résumé

The Turing Test is just a methodological constraint forcing us to scale up to an organisms' full functional capacity. This is still just an epistemic matter, not an ontic one. Even a candidate in which we have successfully reverse-engineered all human capacities is not guaranteed to have a mind. The right level of convergence, however, is total robotic capacity; symbolic capacity alone (the standard Turing Test) is underdetermined, whereas full neurosimilitude is overdetermined.

Type:	Article de revue scientifique
Mots-clés ou Sujets:	catégorisation, computation, apprentissage, langage, ancrage symbolique, évolution, intelligence artificielle, cognition, réseaux neuronaux, perception categorielle, Searle, Turing, sciences cognitives
Unité d'appartenance:	Faculté des sciences humaines > Département de psychologie Instituts > Institut des sciences cognitives (ISC)
Déposé par:	Stevan Harnad
Date de dépôt:	26 sept. 2007
Dernière modification:	20 avr. 2009 14:27
Adresse URL :	http://archipel.uqam.ca/id/eprint/143

Modifier les métadonnées (propriétaire du document)

Statistiques