Implicit and explicit learning in a hybrid architecture of cognition

被引：0

作者：

Lebiere, C ^{[1
]}

Wallach, D

机构：

[1] Carnegie Mellon Univ, Dept Psychol, Pittsburgh, PA 15213 USA

[2] Univ Basel, Inst Psychol, CH-4056 Basel, Switzerland

来源：

BEHAVIORAL AND BRAIN SCIENCES | 1999年 / 22卷 / 05期

关键词：

D O I：

10.1017/S0140525X99422186

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

We present a theoretical account of implicit and explicit learning in terms of ACT-R,an integrated architecture of human cognition as a computational supplement to Dienes & Perner's conceptual analysis of knowledge. Explicit learning is explained in ACT-R by the acquisition of new symbolic knowledge, whereas implicit learning amounts to statistically adjusting subsymbolic quantities associated with that knowledge. We discuss the common foundation of a set of models that are able to explain data gathered in several signature paradigms of implicit learning.

引用

页码：772 / +

页数：9

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