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- W2617133093 abstract "Is the Typicality Effect in Category-based Induction Really About Typicality? Jonathan Rein University of Texas at Austin Arthur Markman University of Texas at Austin Micah Goldwater University of Texas at Austin Abstract: Research on category-based induction has shown that typical exemplars promote stronger inferences about categories than atypical exemplars. This work has been largely confined to categories that are typified by the central tendency of category members. Does the typicality effect apply to categories for which the ideal category member is considered most typical? In experiments with natural and artificial categories, we obtained ratings of typicality and inductive strength for ideal and average exemplars. Inductive strength was greatest for the average exemplars, regardless of whether the average or the ideal was rated more typical. These results suggest that people perform category-based induction by a process akin to statistical inference from one of multiple simultaneously-held category representations, rather than comparison to a single canonical representation." @default.
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- W2617133093 date "2009-01-01" @default.
- W2617133093 modified "2023-09-28" @default.
- W2617133093 title "Is the Typicality Effect in Category-based Induction Really About Typicality?" @default.
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