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Toward a unified theory of development : connectionism and dynamic systems theory re-considered

Author: John P Spencer; Michael S C Thomas; James L McClelland
Publisher: New York ; Oxford : Oxford University Press, 2009.
Series: Oxford series in developmental cognitive neuroscience.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This resource defines and refines two major theoretical approaches within developmental science that address the central issues of development-connectionism and dynamical systems theory.
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Genre/Form: Electronic books
Additional Physical Format: Print version
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John P Spencer; Michael S C Thomas; James L McClelland
ISBN: 9780195300598 0195300599
OCLC Number: 466425689
Description: 1 online resource (416 pages) : illustrations (some color)
Contents: Introduction John P. Spencer, Michael S.C. Thomas, and James L. McClelland ; I. Introduction to the Approaches ; 1. Connectionist Models of Development: Mechanistic Dynamical Models with Emergent Dynamical Properties James L. McClelland and Gautam Vallabha ; 2. Development as Change of System Dynamics: Stability, Instability, and Emergence Gregor Schoner ; II. Dynamical Systems Theory: Case Studies ; 3. Brain, Body, and Mind: Lessons from Infant Motor Development Daniela Corbetta ; 4. Dynamic Systems, Sensory-motor Processes, and the Origins of Stability and Flexibility Linda B. Smith ; 5. Dynamic Field Theory and Embodied Cognitive Dynamics John P. Spencer, Sammy Perone, and Jeff Johnson ; 6. Time Scales in Connectionist and Dynamical Systems Approaches to Learning and Development Karl M. Newell, Yeou-Teh Liu, and Gottfried Mayer-Kress ; III. Connectionism: Case Studies ; 7. Connectionist Approaches to Perservation: Understanding Universal and Task-Specific Aspects of Children's Behavior J. Bruce Morton and Yuko Munakata ; 8. Dynamical Insight into Structure in Connectionist Models Whitney Tabor ; 9. The Robot as a New Frontier for Connectionism and Dynamic Systems Theory Matthew Schlesinger ; IV. Hybrid Models: Case Studies ; 10. Combining Connectionist and Dynamic Systems Principles in Models of Development: The Case of Analogical Completion Denis Mareschal, Robert Leech, and Richard P. Cooper ; 11. Integrating Connectionist Learning and Dynamical Systems Processing: Case Studies in Speech and Lexical Development Bob McMurray, Jessica S. Horst, Joseph C. Toscano, and Larissa K. Samuelson ; V. Reactions from the "Outside" ; 12. Soft-Assembled Mechanisms for the Grand Theory Heidi Kloos and Guy C. Van Orden ; 13. Are Dynamic Systems and Connectionist Approaches an Alternative to "Good Old Fashioned Cognitive Development"? Lisa M. Oakes, Nora S. Newcombe, and Jodie M. Plumert ; 14. A Developmental Systems Theory Perspective on Psychological Change Timothy D. Johnston and Robert Lickliter ; VI. Reactions from the "Inside" ; 15. Transitions in Cognitive Development: Prospects and Limitations of a Neural Dynamic Approach Han L. J. van der Maas and Maartje E. J. Raijmakers ; 16. Dynamic Systems and the Quest for Individual-Based Models of Change and Development Paul van Geert and Kurt Fischer ; 17. Dynamic and Connectionist Approaches to Development: Toward a Future of Mutually Beneficial Co-evolution Michael S. C. Thomas, James L. McClelland, Fiona M. Richardson, Anna C. Shapiro, and Frank Baughman ; 18. Moving Toward a New Grand Theory While Valuing the Importance of the Initial Conditions John P. Spencer, Evelina Dineva, and Gregor Schoner
Series Title: Oxford series in developmental cognitive neuroscience.
Responsibility: edited by John P. Spencer, Michael S.C. Thomas, and James L. McClelland.

Abstract:

This resource defines and refines two major theoretical approaches within developmental science that address the central issues of development-connectionism and dynamical systems theory.

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"What is knowledge and how is it acquired? Radical answers to these questions are proposed by the world's leading exponents of dynamical systems theory and connectionist modeling. The volume Read more...

 
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