Kinder Annette
Department of Psychology, University of Potsdam, Potsdam, Germany.
Q J Exp Psychol (Hove). 2010 Jun;63(6):1049-56. doi: 10.1080/17470211003718713. Epub 2010 Mar 24.
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.
在最近的一篇文章中，贾米森和梅沃特（2009年）提出了一种关于人工语法学习（AGL）的新解释，该解释基于情景记忆的多痕迹模型——密涅瓦2模型。根据这一解释，AGL中的测试表现基于对测试字符串与训练字符串记忆痕迹的全局相似性的评估。在本文中，呈现了模拟研究，针对三个不同的AGL实验表明，密涅瓦2模型的预测与参与者的表现显著不同。有人认为，参与者的测试表现通常并非基于一般的相似性。
