Alan Turing and the “Hard” and “Easy” Problem of Cognition: Doing and Feeling

Harnad, Stevan (2012). Alan Turing and the “Hard” and “Easy” Problem of Cognition: Doing and Feeling, dans Turing Year 2012

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The "easy" problem of cognitive science is explaining how and why we can do what we can do. The "hard" problem is explaining how and why we feel. Turing's methodology for cognitive science (the Turing Test) is based on doing: Design a model that can do anything a human can do, indistinguishably from a human, to a human, and you have explained cognition. Searle has shown that the successful model cannot be solely computational. Sensory-motor robotic capacities are necessary to ground some, at least, of the model's words, in what the robot can do with the things in the world that the words are about. But even grounding is not enough to guarantee that -- nor to explain how and why -- the model feels (if it does). That problem is much harder to solve (and perhaps insoluble).

Type: Compte rendu
Mots-clés ou Sujets: Accès libre, dépôt institutionnel, mandats, édition scientifique
Unité d'appartenance: Faculté des sciences humaines > Département de psychologie
Déposé par: Stevan Harnad
Date de dépôt: 03 déc. 2014 14:07
Dernière modification: 03 déc. 2014 14:07
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