Implicit and explicit representations.
During the past decades, the symbol grounding problem, as has been identified by Harnard [Harnard, S. (1990). The symbol grounding problem. Physica D: Nonlinear Phenomena, 42, 335-346], became a prominent problem in the cognitive science society. The idea that a symbol is much more than a mere meaningless token that can be processed through some algorithm, sheds new light on higher brain functions such as language and cognition. We present in this article a computational framework that may help in our understanding of the nature of grounded representations. Two models are briefly introduced that aim at emphasizing the difference we make between implicit and explicit representations.
Rougier
Nicolas P
NP
INRIA Nancy - Grand Est, 615, Rue du Jardin Botanique, 54 600 Villers-Lès-Nancy, France. Nicolas.Rougier@loria.fr
D000465:Algorithms; D001288:Attention / Q000502:physiology; D032882:Comprehension / Q000502:physiology*; D006801:Humans; D007802:Language; D008959:Models, Neurological; D016571:Neural Networks, Computer