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• W1996763776 abstract "Learning of feature-based categories is known to interact with feature-variation in a variety of ways, depending on the type of variation (e.g., Markman & Maddox, 2003). However, relational categories are distinct from feature-based categories in that they determine membership based on structural similarities. As a result, the way that they interact with feature variation is unclear. This paper explores both experimental and computational data and argues that, despite its reliance on structural factors, relational category-learning should still be affected by the type of feature variation present during the learning process. It specifically suggests that within-feature and across-feature variation should produce different learning trajectories due to a difference in representational cost. The paper then uses the DORA model (Doumas, Hummel, & Sandhofer, 2008) to discuss how this account might function in a cognitive system before presenting an experiment aimed at testing this account. The experiment was a relational category-learning task and was run on human participants and then simulated in DORA. Both sets of results indicated that learning a relational category from a training set with a lower amount of variation is easier, but that learning from a training set with increased within-feature variation is significantly less challenging than learning from a set with increased across-feature variation. These results sup-port the claim that, like feature-based category-learning, relational category-learning is sensitive to the type of feature variation in the training set." @default.
• W1996763776 created "2016-06-24" @default.
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• W1996763776 date "2015-02-09" @default.
• W1996763776 modified "2023-09-25" @default.
• W1996763776 title "Varying variation: the effects of within- versus across-feature differences on relational category learning" @default.
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• W1996763776 doi "https://doi.org/10.3389/fpsyg.2015.00129" @default.
• W1996763776 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4321646" @default.
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