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Is grammaticality inferred from global similarity? Comment on Jamieson and Mewhort (2009)

机译:是从整体相似性推断出语法吗?评论Jamieson和Mewhort(2009)

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In a recent article, Jamieson and Mewhort (2009) proposed a novel account of artificial grammar learning (AGL), which is based on a multitrace model of episodic memory, the Minerva 2 model. According to this account, test performance in AGL is based on an assessment of global similarity of the test strings to the memory traces of the training strings. In this article, simulation studies are presented, showing for three different AGL experiments that the predictions of the Minerva 2 model strikingly deviate from participants' performance. It is argued that participants' test performance is not generally based on general similarity.
机译:Jamieson和Mewhort(2009)在最近的一篇文章中提出了一种新的人工语法学习(AGL)解释,它基于情景记忆的多迹模型Minerva 2模型。根据这个说明,AGL中的测试性能基于对测试字符串与训练字符串的内存跟踪的全局相似性的评估。在本文中,我们进行了模拟研究,显示了针对三个不同的AGL实验,Minerva 2模型的预测显着偏离了参与者的表现。有人认为,参与者的考试成绩通常不是基于普遍的相似性。

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