Implicit and explicit representations

被引:3
|
作者
Rougier, Nicolas P. [1 ]
机构
[1] INRIA Nancy Grand Est, F-54600 Villers Les Nancy, France
关键词
Computational neuroscience; Representation; Symbol; Embodied cognition; PREFRONTAL CORTEX; MODEL; ORGANIZATION;
D O I
10.1016/j.neunet.2009.01.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:155 / 160
页数:6
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