Nonmonotonic Extrapolation in Function Learning

Autor/inn/en	Bott, Lewis; Heit, Evan
Titel	Nonmonotonic Extrapolation in Function Learning
Quelle	In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 30 (2004) 1, S.38-50 (13 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0278-7393
Schlagwörter	Computation; Psychological Studies; Data Analysis; Learning Processes; Models; Prediction; Patterned Responses; Stimuli + Suchen Sie Ihr Suchwort? Auswertung; Learning process; Lernprozess; Analogiemodell; Vorhersage; Antwortbogen; Anreizsystem
Abstract	This article reports the results of an experiment addressing extrapolation in function learning, in particular the issue of whether participants can extrapolate in a nonmonotonic manner. Existing models of function learning, including the extrapolation association model of function learning (EXAM; E. L. DeLosh, J. R. Busemeyer, & M. A. McDaniel, 1997), cannot account for this type of extrapolation pattern. We present the results of an experiment in which participants were shown a series of paired stimulus-response magnitudes where the relationship between these 2 dimensions conformed to a cyclic function. Participants were shown to extrapolate from these training data in a nonmonotonic way, contrary to predictions from EXAM. A new model of function learning is presented, which predicts responses more accurately than EXAM. (Author).
Anmerkungen	American Psychological Association, 750 First Street, NE, Washington, DC 20002-4242. Tel: 800-374-2721 (Toll Free); Tel: 202-336-5510; TDD/TTY: 202-336-6123; Fax: 202-336-5502; e-mail: journals@apa.org.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10