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. This article is categorized under: Computer Science > Artificial Intelligence Psychology > Development and Aging Psychology > Reasoning and Decision Making