Connectionist Models and Their Implications: Readings from Cognitive Science

Author:   Jerome Feldman ,  David Waltz
Publisher:   Intellect
ISBN:  

9780893914561


Pages:   200
Publication Date:   01 May 1988
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Connectionist Models and Their Implications: Readings from Cognitive Science


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Author:   Jerome Feldman ,  David Waltz
Publisher:   Intellect
Imprint:   Intellect Books
Dimensions:   Width: 15.90cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.680kg
ISBN:  

9780893914561


ISBN 10:   0893914568
Pages:   200
Publication Date:   01 May 1988
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface: Connectionist Models and Their Prospects  vii Marvin Minsky 1. Connectionist Models and Their Implications  1 David Waltz and Jerome A. Feldman 2. Connectionist Models and Their Properties  13 J.A. Feldman and D.H. Ballard 3. Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly  63 James L. McClelland  4. Positive Feedback in Hierarchical Connectionist Models: Applications in Language Production  97 Gary S. Dell 5. A Developmental Neural Model of Visual Word Perception  119 Richard M. Golden 6. Computing with Connections in Visual Recognition of Origami Objects  155 Daniel Sabbah 7. Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation  181 David L. Waltz and Jordon B. Pollack 8. Feature Discovery by Competitive Learning  205 David E. Rumelhart and David Zipser 9. Competitive Learning: From Interactive Activation to Adaptive Resonance  243 Stephen Grossberg 10. A Learning Algorithm for Boltzmann Machines  285 David H. Ackley, Geoffrey E. Hinton, and Terrence J. Sejnowski 11. Emergence of Grandmother Memory in Feed Forward Networks: Learning with Noise and Forgetfulness  309 R. Scalettar and A. Zee 12. An Implementation of Network Learning on the Connection Machine  329 Charles R. Rosenberg and Guy Blelloch 13. Connectionist Representation of Concepts  341 Jerome A. Feldman Author Index  365 Subject Index  371

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