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WIREs Cogn Sci

Computational perspectives on cognitive development

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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.

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Computer Science > Artificial Intelligence
Psychology > Development and Aging
Psychology > Reasoning and Decision Making
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In the Spotlight

David Alais

David Alais

David Alais is Associate Professor in the School of Psychology at the University of Sydney, Australia. He has been with the University of Sydney since 2003, before which he was a research fellow in France, funded by the Human Frontiers Science Programme at the Collège de France in Paris, and subsequently a Marie Curie fellow at the Neuroscience Institute in Pisa, Italy.


Professor Alais’ current research aims to better understand visual and auditory perception. One major area of study uses human psychophysical experiments to better understand how the brain combines auditory and visual information to enhance our perception of the world.

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