Integrating Novel Dimensions to Eliminate Category Exceptions: When More Is Less

Autor/inn/en	Blair, Mark; Homa, Don L.
Titel	Integrating Novel Dimensions to Eliminate Category Exceptions: When More Is Less
Quelle	In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 31 (2005) 2, S.258-271 (13 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0278-7393
Schlagwörter	Cues; Classification; Individual Differences; Stimuli; Psychological Studies; Cognitive Processes; Learning Processes + Suchen Sie Ihr Suchwort? Stichwort; Classification system; Klassifikation; Klassifikationssystem; Individueller Unterschied; Anreizsystem; Cognitive process; Kognitiver Prozess; Learning process; Lernprozess
Abstract	Category learning can be characterized as a process of discovering the dimensions that represent stimuli efficiently and effectively. Categories that are overlapping when represented in 1 dimensionality may be separate in a higher dimensional cue set. The authors report 2 experiments in which participants were shown an additional cue after learning to use 2 imperfect cues. The results revealed that participants can integrate new information into their categorization cue set. The authors discovered wide individual differences, however, with many participants favoring simpler, but less accurate, cue sets. Some participants demonstrated the ability to discard information previously used when new, more accurate information was introduced. The categorization model RASHNL (J. K. Kruschke & M. K. Johansen, 1999) gave qualitatively accurate fits of the data. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10