Artificial grammar learning depends on implicit acquisition of both abstract and exemplar-specific information
Artificial grammar learning depends on implicit acquisition of both abstract and exemplar-specific information
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DOI：
10.1037/0278-7393.22.1.169
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发表时间：
1996-01-01
影响因子：
2.6
通讯作者：
Squire, LR
中科院分区：
文献类型：
--
作者：
Knowlton, BJ;Squire, LR
在健忘症患者和对照组中，考察了特定样本知识和抽象知识对人工语法学习的贡献。在实验一中，语法规则依从性和语块强度分别对语法性判断产生影响。健忘症患者表现出完整的分类表现，表现出与对照组相同的结果模式。在实验2中，健忘症患者对语块的陈述性记忆受损。在实验3中，健忘症患者和对照组在使用与用于训练的字母组不同的字母组时都表现出迁移，尽管在训练和测试中使用相同的字母组时成绩更好。结果表明，个体既可以学习关于训练项目的抽象信息，也可以学习关于块力量的特定样本信息，而且这两种类型的学习都独立于陈述性记忆发生。
The contributions of exemplar-specific and abstract knowledge to artificial grammar learning were examined in amnesic patients and controls. In Experiment 1, grammatical rule adherence and chunk strength exerted separate effects on grammaticality judgments. Amnesic patients exhibited intact classification performance, demonstrating the same pattern of results as controls. In Experiment 2, amnesic patients exhibited impaired declarative memory for chunks. In Experiment 3, both amnesic patients and controls exhibited transfer when tested with a letter set different than the one used for training, although performance was better when the same letter sets were used at training and test. The results suggest that individuals learn both abstract information about training items and exemplar-specific information about chunk strength and that both types of learning occur independently of declarative memory.