Alignment effects on learning multiple, use-relevant classification systems
People often learn multiple classification systems that are relevant to some goal or use. We compared conditions in which subclassification within a category hierarchy was predicted by values on either the same (alignable) or different (nonalignable) dimensions between category hierarchies. The resu...
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Veröffentlicht in: | Memory & cognition 2002-10, Vol.30 (7), p.1148-1159, Article 1148 |
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