An entropy model for artificial grammar learning
نویسندگان
چکیده
منابع مشابه
An Entropy Model for Artificial Grammar Learning
A model is proposed to characterize the type of knowledge acquired in artificial grammar learning (AGL). In particular, Shannon entropy is employed to compute the complexity of different test items in an AGL task, relative to the training items. According to this model, the more predictable a test item is from the training items, the more likely it is that this item should be selected as compat...
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ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2010
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2010.00016