Computational perspectives on cognitive development.
This article reviews the efforts to develop process models of infants' and children's cognition. Computational process models provide a tool for elucidating the causal mechanisms involved in learning and development. The history of computational modeling in developmental psychology broadly follows the same trends that have run throughout cognitive science-including rule-based models, neural network (connectionist) models, ACT-R models, ART models, decision tree models, reinforcement learning models, and hybrid models among others. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website.
Birkbeck College, University of London, Centre for Brain and Cognitive Development School of Psychology, Birkbeck College, London WC1E 7HX, UK.
Denis
D
Mareschal