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
Representational and sampling assumptions drive individual differences in single category generalisation
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DOI: 10.13140/rg.2.2.16409.72809
Abstract: Human activity requires an ability to generalise beyond the available evidence, but when examples are limited – as they nearly always are – the problem of how to do so becomes particularly acute. In addressing… read more here.
Keywords: individual differences; representational sampling; generalisation; single category ... See more keywords