Thibaut Jean-Pierre, Gelaes Sabine, Murphy Gregory L
University of Bourgogne Franche-Comté, LEAD CNRS UMR 5022, 11, Esplanade Erasme, 21065, Dijon, France.
, Liège, Belgium.
Mem Cognit. 2018 May;46(4):530-543. doi: 10.3758/s13421-017-0782-4.
Categorization research has demonstrated the use of both rules and remembered exemplars in classification, although there is disagreement over whether learners shift from one to the other or use both strategies simultaneously. Theoretical arguments can motivate predictions for both rule use and exemplar use increasing with more practice. We describe a single large experiment (n = 190) that manipulated the number of training items (category size), the number of presentations of each training item, and the similarity between the training and the transfer stimuli in order to discover when rules and exemplars are most likely to be used. Results showed that rules and exemplars both influenced classification and that exemplars were used more often with smaller categories, with more training on items, and when test items were similar to training items. There was no consistent evidence of a shift from rule-based to exemplar-based categorization with more learning. Importantly, we found a number of conditions in which rules and exemplars were both used, even within individual participants. We discuss our results in terms of hybrid models of classification.
分类研究表明,在分类过程中既会使用规则,也会运用记忆中的范例,尽管对于学习者是从一种方式转变为另一种方式,还是同时使用这两种策略存在分歧。理论观点可以推动这样的预测:随着练习的增加,规则运用和范例运用都会增多。我们描述了一个大型单一实验(n = 190),该实验操纵了训练项目的数量(类别大小)、每个训练项目的呈现次数以及训练刺激与迁移刺激之间的相似度,以便发现何时最有可能使用规则和范例。结果表明,规则和范例都对分类产生了影响,并且在类别较小、项目训练较多以及测试项目与训练项目相似时,范例的使用更为频繁。没有一致的证据表明随着学习的增加会从基于规则的分类转变为基于范例的分类。重要的是,我们发现了许多规则和范例同时被使用的情况,甚至在个体参与者中也是如此。我们根据分类的混合模型来讨论我们的结果。