Short-Term Memory Scanning Viewed as Exemplar-Based Categorization

Autor/inn/en	Nosofsky, Robert M.; Little, Daniel R.; Donkin, Christopher; Fific, Mario
Titel	Short-Term Memory Scanning Viewed as Exemplar-Based Categorization
Quelle	In: Psychological Review, 118 (2011) 2, S.280-315 (36 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-295X
DOI	10.1037/a0022494
Schlagwörter	Short Term Memory; Classification; Probability; Cognitive Development; Reaction Time; Cognitive Processes; Graduate Students; Visual Stimuli; Color; Models; Goodness of Fit; Visual Perception; Indiana + Suchen Sie Ihr Suchwort? Kurzzeitgedächtnis; Classification system; Klassifikation; Klassifikationssystem; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Kognitive Entwicklung; Reaktionsvermögen; Cognitive process; Kognitiver Prozess; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Colour; Farbbezeichnung; Farbe; Analogiemodell; Visuelle Wahrnehmung
Abstract	Exemplar-similarity models such as the exemplar-based random walk (EBRW) model (Nosofsky & Palmeri, 1997b) were designed to provide a formal account of multidimensional classification choice probabilities and response times (RTs). At the same time, a recurring theme has been to use exemplar models to account for old-new item recognition and to explain relations between classification and recognition. However, a major gap in research is that the models have not been tested on their ability to provide a theoretical account of RTs and other aspects of performance in the classic Sternberg (1966) short-term memory-scanning paradigm, perhaps the most venerable of all recognition-RT tasks. The present research fills that gap by demonstrating that the EBRW model accounts in natural fashion for a wide variety of phenomena involving diverse forms of short-term memory scanning. The upshot is that similar cognitive operating principles may underlie the domains of multidimensional classification and short-term old-new recognition. (Contains 11 tables, 14 figures and 11 footnotes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10