Toward a Unified Theory of Development: Connectionism and Dynamic Systems Theory Re-Considered

Toward a Unified Theory of Development: Connectionism and Dynamic Systems Theory Re-Considered

ISBN-10:
0195300599
ISBN-13:
9780195300598
Pub. Date:
06/17/2009
Publisher:
Oxford University Press
ISBN-10:
0195300599
ISBN-13:
9780195300598
Pub. Date:
06/17/2009
Publisher:
Oxford University Press
Toward a Unified Theory of Development: Connectionism and Dynamic Systems Theory Re-Considered

Toward a Unified Theory of Development: Connectionism and Dynamic Systems Theory Re-Considered

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Overview

From William James to Sigmund Freud to Jean Piaget to B.F. Skinner, scholars (and parents!) have wondered how children move from the blooming, buzzing confusion of infancy, through the tumult of childhood and adolescence, into adulthood. Does development occur continuously over time or in a series of dramatic stages? Is development driven by learning or by biological maturational processes? What is the nature of experience, and how does it generate change? The study of development has always been organized around these big questions. And answers to these questions have a profound influence on daily life, forming a framework for how parents think about their own children, and influencing both national policy and educational curricula.

This book defines and refines two major theoretical approaches within developmental science that address the central issues of development—connectionism and dynamical systems theory. Spencer, Thomas, and McClelland have brought together chapters that provide an introduction, overview, and critical evaluation of each approach, including three sets of case studies that illustrate how both approaches have been used to study topics ranging from early motor development to the acquisition of grammar. They also present a collection of commentaries by leading scholars, which offer a critical view from both an"outsiders's" and an "insider's" perspective. The book is unique in the range of its treatment—it begins to delineate how developmental science can incorporate advances within neuroscience and computational modeling, and brings the new ideas of connectionism and dynamic systems theory into sharper focus, clarifying their usefulness and explanatory power.

Product Details

ISBN-13: 9780195300598
Publisher: Oxford University Press
Publication date: 06/17/2009
Series: Developmental Cognitive Neuroscience , #2
Pages: 416
Product dimensions: 7.40(w) x 10.10(h) x 1.00(d)

About the Author

John P. Spencer is a Professor of Psychology at the University of Iowa and the founding Co-Director of the Iowa Center for Developmental and Learning Sciences. He received a Sc.B. with Honors from Brown University in 1991 and a Ph.D. in Experimental Psychology from Indiana University in 1998. He is the recipient of the Irving J. Saltzman and the J.R. Kantor Graduate Awards from Indiana University, the Early Research Contributions Award from the Society for Research in Child Development, and the Robert L. Fantz Memorial Award from the American Psychological Foundation. His research examines the development of visuo-spatial cognition, spatial language, working memory, and attention, with an emphasis on dynamical systems and neural network models of cognition and action. He has had continuous funding from the National Institutes of Health and the National Science Foundation since 2001.

Michael S. C. Thomas is a Reader in Cognitive Neuropsychology at Birkbeck College, University of London, and the director of the Developmental Neurocognition Lab at the Centre for Brain and Cognitive Development. He is part of a team awarded the Queen's Anniversary Prize for Higher and Further Education in 2006. Dr. Thomas received his B.Sc. in psychology from the University of Exeter, an M.Sc. degree in cognitive science from the University of Birmingham, and a D.Phil. in Experimental Psychology (on behavioral and computational studies of bilingualism) at the University of Oxford, UK. His research focuses on language and cognitive development, and specifically neurocomputational explanations of the variability seen in typical children and in children with developmental disorders. His work combines behavioral methods, computational modeling, and structural and functional brain imaging (see www.psyc.bbk.ac.uk/research/DNL/).

James L. McClelland received his Ph.D. in Cognitive Psychology from the University of Pennsylvania in 1975. He served on the faculty of the University of California, San Diego, before moving to Carnegie Mellon in 1984, where he became a University Professor and held the Walter Van Dyke Bingham Chair in Psychology and Cognitive Neuroscience. He was a founding Co-Director of the Center for the Neural Basis of Cognition, a joint project of Carnegie Mellon and the University of Pittsburgh. He served as Co-Director until 2006, when he moved to Stanford University, where he is now Professor of Psychology and is the founding Director of the Center for Mind, Brain and Computation.

Table of Contents

Introduction iJohn P. Spencer, Michael S.C. Thomas, and James L. McClelland/iI. Introduction to the Approaches1. Connectionist Models of Development: Mechanistic Dynamical Models with Emergent Dynamical Properties iJames L. McClelland and Gautam Vallabha/i2. Development as Change of System Dynamics: Stability, Instability, and Emergence iGregor Schoner/iII. Dynamical Systems Theory: Case Studies3. Brain, Body, and Mind: Lessons from Infant Motor Development iDaniela Corbetta/i4. Dynamic Systems, Sensory-motor Processes, and the Origins of Stability and Flexibility iLinda B. Smith/i5. Dynamic Field Theory and Embodied Cognitive Dynamics iJohn P. Spencer, Sammy Perone, and Jeff Johnson/i6. Time Scales in Connectionist and Dynamical Systems Approaches to Learning and Development iKarl M. Newell, Yeou-Teh Liu, and Gottfried Mayer-Kress/iIII. Connectionism: Case Studies7. Connectionist Approaches to Perservation: Understanding Universal and Task-Specific Aspects of Children's Behavior iJ. Bruce Morton and Yuko Munakata/i8. Dynamical Insight into Structure in Connectionist Models iWhitney Tabor/i9. The Robot as a New Frontier for Connectionism and Dynamic Systems Theory iMatthew Schlesinger/iIV. Hybrid Models: Case Studies10. Combining Connectionist and Dynamic Systems Principles in Models of Development: The Case of Analogical Completion iDenis Mareschal, Robert Leech, and Richard P. Cooper/i11. Integrating Connectionist Learning and Dynamical Systems Processing: Case Studies in Speech and Lexical Development iBob McMurray, Jessica S. Horst, Joseph C. Toscano, and Larissa K. Samuelson/iV. Reactions from the "Outside"12. Soft-Assembled Mechanisms for the Grand Theory iHeidi Kloos and Guy C. Van Orden/i13. Are Dynamic Systems and Connectionist Approaches an Alternative to "Good Old Fashioned Cognitive Development"? iLisa M. Oakes, Nora S. Newcombe, and Jodie M. Plumert/i14. A Developmental Systems Theory Perspective on Psychological Change iTimothy D. Johnston and Robert Lickliter/iVI. Reactions from the "Inside"15. Transitions in Cognitive Development: Prospects and Limitations of a Neural Dynamic Approach iHan L. J. van der Maas and Maartje E. J. Raijmakers/i16. Dynamic Systems and the Quest for Individual-Based Models of Change and Development iPaul van Geert and Kurt Fischer/i17. Dynamic and Connectionist Approaches to Development: Toward a Future of Mutually Beneficial Co-evolution iMichael S. C. Thomas, James L. McClelland, Fiona M. Richardson, Anna C. Shapiro, and Frank Baughman/i18. Moving Toward a New Grand Theory While Valuing the Importance of the Initial Conditions iJohn P. Spencer, Evelina Dineva, and Gregor Schoner/i
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