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Learning and transfer of category knowledge in an indirect categorization task

机译:在间接分类任务中学习和传递类别知识

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摘要

Knowledge representations acquired during category learning experiments are 'tuned' to the task goal. A useful paradigm to study category representations is indirect category learning. In the present article, we propose a new indirect categorization task called the "same"-"different" categorization task. The same-different categorization task is a regular same-different task, but the question asked to the participants is about the stimulus category membership instead of stimulus identity. Experiment 1 explores the possibility of indirectly learning rule-based and information-integration category structures using the new paradigm. The results suggest that there is little learning about the category structures resulting from an indirect categorization task unless the categories can be separated by a one-dimensional rule. Experiment 2 explores whether a category representation learned indirectly can be used in a direct classification task (and vice versa). The results suggest that previous categorical knowledge acquired during a direct classification task can be expressed in the same-different categorization task only when the categories can be separated by a rule that is easily verbalized. Implications of these results for categorization research are discussed.
机译:在类别学习实验中获得的知识表示被“调整”到任务目标。研究类别表示的一个有用范例是间接类别学习。在本文中,我们提出了一种新的间接分类任务,称为“相同”-“不同”分类任务。同一个分类任务是一个常规的同一个任务,但是向参与者提出的问题是关于刺激类别成员而不是刺激身份。实验1探索了使用新范式间接学习基于规则和信息集成类别结构的可能性。结果表明,除非通过一维规则将类别分开,否则对间接分类任务所产生的类别结构的了解很少。实验2探索了间接学习的类别表示是否可以用于直接分类任务(反之亦然)。结果表明,仅当类别可以通过易于口头表达的规则分开时,在直接分类任务中获得的先前分类知识才可以在同一不同分类任务中表示。讨论了这些结果对分类研究的意义。

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