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• W2063898841 abstract "The authors contrast exemplar-based and prototype-based processes in dot-pattern categorization. In Experiments 1A and 1B, participants provided similarity ratings of dot-distortion pairs that were distortions of the same originating prototype. The results show that comparisons to training exemplars surrounding the prototype create flat typicality gradients within a category and small prototype-enhancement effects, whereas comparisons to a prototype center create steep typicality gradients within a category and large prototype-enhancement effects. Thus, prototype and exemplar theories make different predictions regarding common versions of the dot-distortion task. Experiment 2 tested these different predictions by having participants learn dot-pattern categories. The steep typicality gradients, the large prototype effects, and the superior fit of prototype models suggest that participants refer to-be-categorized items to a representation near the category's center (the prototype), and not to the training exemplars that surround the prototype." @default.
• W2063898841 created "2016-06-24" @default.
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• W2063898841 date "2002-01-01" @default.
• W2063898841 modified "2023-10-16" @default.
• W2063898841 title "Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning." @default.
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• W2063898841 doi "https://doi.org/10.1037/0278-7393.28.4.800" @default.
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