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.

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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://www.archipel.uqam.ca/id/eprint/143

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