MIT CogNet, The Brain Sciences ConnectionFrom the MIT Press, Link to Online Catalog
SPARC Communities
Subscriber : Stanford University Libraries » LOG IN

space

Powered By Google 
Advanced Search

Selected Title Details  
May 2003
ISBN 026219483X
338 pp.
63 illus.
BUY THE BOOK
Computational Developmental Psychology
Thomas R. Shultz
Despite decades of scientific research, the core issues of child development remain too complex to be explained by traditional verbal theories. These issues include structure and transition, representation and processing, innate and experiential determinants of development, stages of development, the purpose and end of development, and the relation between knowledge and learning. In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology.<br /> <br /> A principal approach in developmental thinking is the constructivist one. Constructivism is the Piagetian view that the child builds new cognitive structures by using current mental structures to understand new events. In this book Shultz features constructivist models employing networks that grow as well as learn. This allows models to implement synaptogenesis and neurogenesis in a way that allows qualitative changes in processing mechanisms. The book's appendices provide additional background on the mathematical concepts used, and a companion Web site contains easy-to-use computational packages.
Table of Contents
 Preface
 Acknowledgements
 Introduction
 A Neural-Network Primer
 Knowledge Representation
 Developmental Transitions
 Stages of Development
 Objections and Rebuttals
 On the Horizon
 Understanding Derivatives
 Derivative of Error with Respect to Output
 Derivative of the Asigmoid Activation Function
 Weight Adjustments in Quickprop
 Notes
 References
 Index
 
 


© 2010 The MIT Press
MIT Logo