Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/77550
Type: Conference paper
Title: Anticipating changes: adaptation and extrapolation in category learning
Author: Navarro, D.
Perfors, A.
Citation: Building Bridges Across Cognitive Sciences Around the World: Proceedings of the 34th Annual Meeting of the Cognitive Science Society, held in Sapporo, Japan, 1-4 August, 2012 / N. Miyake, D. Peebles and R.P. Cooper (eds.): pp.809-814
Publisher: Cognitive Science Society
Publisher Place: USA
Issue Date: 2012
ISBN: 9780976831884
Conference Name: Annual Meeting of the Cognitive Science Society (34th : 2012 : Sapporo, Japan)
Statement of
Responsibility: 
Daniel J. Navarro and Amy Perfors
Abstract: Our world is a dynamic one: many kinds of objects and events change markedly over time. Despite this, most theories about concepts and categories are either insensitive to time-based variation, or treat people’s sensitivity to change as a result of process-level characteristics (like memory limits, captured by weighting more recent items more highly) that produce irrational order effects during learning. In this paper we use two experiments and nine computational models to explore how people learn in a changing environment. We find, first, that people adapt to change during a category learning task; and, second, that this adaptation stems not only from weighting more recent items more highly, but also from forming sensible anticipations about the nature of the change.
Keywords: Categorization; change detection; concepts; dynamics; time dependence; order effects
Rights: Copyright status unknown
RMID: 0020127082
Published version: http://mindmodeling.org/cogsci2012/papers/0149/index.html
Appears in Collections:Psychology publications

Files in This Item:
File Description SizeFormat 
hdl_77550.pdfPublished version158.03 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.