Connectionist Models of Development: Developmental Processes in Real and Artificial Neural Networks

— —

Philip T. Quinlan

Connectionist Models of Development

Developmental Processes in Real and Artificial Neural Networks

Philip T. Quinlan

$273

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Psychology Press Ltd
22 May 2003

Neurology & clinical neurophysiology; Neural networks & fuzzy systems

Series: Studies in Developmental Psychology

Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems is typically characterised as adaptive changes to the strengths of these connections. The traditional accounts of connectionist learning, based on adaptive changes to weighted connections, are explored alongside the dynamic accounts in which networks generate their own structures as learning proceeds. Unlike most connectionist accounts of psychological processes which deal with the fully-mature system, this text brings to the fore a discussion of developmental processes. In investigating human cognitive and perceptual development, connectionist models of learning and representation are presented alongside various aspects of language and knowledge acquisition. Some contributors describe work within a traditional artificial intelligence framework and others show how computer programs have been designed to mimic particular human developmental processes. Chapters in the final section focus on what is currently known about how real brains develop. This book is a much needed addition to the existing literature on connectionist development as it includes up-to-date examples of research on current controversies in the field as well as new features such as genetic connectionism and biological theories of the brain. It will be invaluable to academic researchers, post-graduates and undergraduates in developmental psychology and developmental psycholinguists as well as those with an interest in connectionist/neural network research.

Edited by: Philip T. Quinlan
Imprint: Psychology Press Ltd
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm, Spine: 23mm
Weight: 793g
ISBN: 9781841692685
ISBN 10: 1841692689
Series: Studies in Developmental Psychology
Pages: 400
Publication Date: 22 May 2003
Audience: College/higher education , A / AS level
Format: Hardback
Publisher's Status: Active

Philip Quinlan is an experienced Senior Lecturer in Psychology at the University of York, and the author of a previous book on Connectionism and Psychology.

Reviews for Connectionist Models of Development: Developmental Processes in Real and Artificial Neural Networks

This book is a selection of state-of-the-art papers on connectionist models of development that illustrate how a range of different kinds of connectionist approaches and methodologies can be used to shed light on particular developmental phenomena and on more general issues in developmental theory. - Julian Pine, University of Nottingham, UK This volume nicely reflects the vibrant nature of thinking, modelling and research in neural network models of development. The range of topics is both impressive and entertaining and the links between new facts about brain development and new methods for computation modelling are particularly exciting. - Brian MacWhinney, Carnegie Mellon University, USA