Connecting Object to Symbol in Modeling Cognition

Harnad, Stevan (1992). « Connecting Object to Symbol in Modeling Cognition », dans Connectionism in Context, sous la dir. de Clark, A. et Lutz, R.. New York, Springer Verlag, pp. 75-90.

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In this toy model of the simplest form of categorization performed by neural nets, CP effects arise as a natural side-effect of the way these particular nets accomplish categorization. Whether the CP effect is universal or peculiar to some kinds of nets (cf. Grossberg 1984), whether the nets' capacity to do simple one-dimensional categorization will scale up to the full multidimensional categorization capacities of human beings, how the grounded labels of these sensory categories are to be combined into strings of symbols that function as propositions about higher-order category membership, and how the nonarbitrary "shape" constraints these symbols inherit from their grounding will affect the functioning of such a hybrid symbol system remain questions for future research. If these results can be generalized, however, the "warping" of analog similarity space may be a significant factor in grounding.

Type: Chapitre de livre
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: 24 sept. 2007
Dernière modification: 20 avr. 2009 14:27
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