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人工语法学习中的隐性和显性知识库。

Implicit and explicit knowledge bases in artificial grammar learning.

作者信息

Dienes Z, Broadbent D, Berry D

机构信息

University of Oxford, England.

出版信息

J Exp Psychol Learn Mem Cogn. 1991 Sep;17(5):875-87. doi: 10.1037//0278-7393.17.5.875.

Abstract

Two experiments examined the claim for distinct implicit and explicit learning modes in the artificial grammar-learning task (Reber, 1967, 1989). Subjects initially attempted to memorize strings of letters generated by a finite-state grammar and then classified new grammatical and nongrammatical strings. Experiment 1 showed that subjects' assessment of isolated parts of strings was sufficient to account for their classification performance but that the rules elicited in free report were not sufficient. Experiment 2 showed that performing a concurrent random number generation task under different priorities interfered with free report and classification performance equally. Furthermore, giving different groups of subjects incidental or intentional learning instructions did not affect classification or free report.

摘要

两项实验检验了人工语法学习任务(雷伯,1967年,1989年)中关于不同的内隐和外显学习模式的说法。受试者最初试图记住由有限状态语法生成的字母串,然后对新的符合语法和不符合语法的字符串进行分类。实验1表明,受试者对字符串各个部分的评估足以解释他们的分类表现,但自由报告中得出的规则并不充分。实验2表明,在不同优先级下执行并发随机数生成任务对自由报告和分类表现的干扰程度相同。此外,给予不同组的受试者附带或有意学习指导并不会影响分类或自由报告。

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