Beyond exemplars and prototypes as memory representations of natural concepts: A clustering approach (original) (raw)

Abstract

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This research investigates how memory representations of natural concepts are formed and activated during categorization tasks, challenging the classical view that categories have strictly defined boundaries. By employing a clustering approach, the study highlights the limitations of exemplar and prototype models, showing that natural concepts can be best represented as overlapping clusters influenced by social and linguistic factors. The implications of these findings extend to understanding categorization processes across different languages and the fluidity of category definitions.

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