Implicit and explicit representations

Nicolas P. Rougier
Neural Networks. 2009-03-01; 22(2): 155-160
DOI: 10.1016/j.neunet.2009.01.008

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1. Neural Netw. 2009 Mar;22(2):155-60. doi: 10.1016/j.neunet.2009.01.008. Epub 2009
Jan 30.

Implicit and explicit representations.

Rougier NP(1).

Author information:
(1)INRIA Nancy – Grand Est, 615, Rue du Jardin Botanique, 54 600
Villers-Lès-Nancy, France.

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.

DOI: 10.1016/j.neunet.2009.01.008
PMID: 19203858 [Indexed for MEDLINE]

Auteurs Bordeaux Neurocampus