A Computational Model of Event Segmentation from Perceptual Prediction

Autor/inn/en	Reynolds, Jeremy R.; Zacks, Jeffrey M.; Braver, Todd S.
Titel	A Computational Model of Event Segmentation from Perceptual Prediction
Quelle	In: Cognitive Science, 31 (2007) 4, S.613-643 (31 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
DOI	10.1080/15326900701399913
Schlagwörter	Prediction; Models; Mathematical Models; Simulation; Context Effect; Perception; Stimuli; Cognitive Structures; Experience + Suchen Sie Ihr Suchwort? Vorhersage; Analogiemodell; Mathematical model; Mathematisches Modell; Simulation program; Simulationsprogramm; Wahrnehmung; Anreizsystem; Cognitive structure; Kognitive Struktur; Erfahrung
Abstract	People tend to perceive ongoing continuous activity as series of discrete events. This partitioning of continuous activity may occur, in part, because events correspond to dynamic patterns that have recurred across different contexts. Recurring patterns may lead to reliable sequential dependencies in observers' experiences, which then can be used to guide perception. The current set of simulations investigated whether this statistical structure within events can be used 1) to develop stable internal representations that facilitate perception and 2) to learn when to update such representations in a self-organizing manner. These simulations demonstrate that experience with recurring patterns enables a system to accurately predict upcoming stimuli within an event, to identify boundaries between such events based on transient increases in prediction error, and to use such boundaries to improve prediction about subsequent activities. (Author).
Anmerkungen	Lawrence Erlbaum. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10