Sample size, number of categories and sampling assumptions: Exploring some differences between categorization and generalization
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DOI: 10.1016/j.cogpsych.2019.03.001
Abstract: Categorization and generalization are fundamentally related inference problems. Yet leading computational models of categorization (as exemplified by, e.g., Nosofsky, 1986) and generalization (as exemplified by, e.g., Tenenbaum and Griffiths, 2001) make qualitatively different predictions about… read more here.
Keywords: categorization; generalization; categorization generalization; number ... See more keywords