From Learning Theory to Connectionist Theory
eBook - ePub

From Learning Theory to Connectionist Theory

Essays in Honor of William K. Estes, Volume I; From Learning Processes to Cognitive Processes, Volume II

  1. 288 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

From Learning Theory to Connectionist Theory

Essays in Honor of William K. Estes, Volume I; From Learning Processes to Cognitive Processes, Volume II

Book details
Table of contents
Citations

About This Book

These two volumes consist of chapters written by students and colleagues of W.K. Estes. The books' contributors -- themselves eminent figures in the field -- reflect on Estes' sweeping contributions to mathematical as well as cognitive and experimental psychology. As indicated by their titles, Volume I features mathematical and theoretical essays, and Volume II presents cognitive and experimental essays. Both volumes contain insightful literature reviews as well as descriptions of exciting new theoretical and empirical advances. Many of the essays also incorporate personal reminiscences reflecting the authors' fond affection for their illustrious mentor.

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Yes, you can access From Learning Theory to Connectionist Theory by Alice F. Healy,Stephen M. Kosslyn,Richard M. Shiffrin in PDF and/or ePUB format, as well as other popular books in Psychology & History & Theory in Psychology. We have over one million books available in our catalogue for you to explore.

Information

Year
2013
ISBN
9781134768257
Edition
1

Table of contents

  1. Front Cover
  2. Half Title
  3. Title Page
  4. Copyright
  5. Contents
  6. Preface
  7. 1. Estes’ Statistical Learning Theory: Past, Present, and Future
  8. 2. Choosing Between Uncertain Options: A Reprise to the Estes Scanning Model
  9. 3. A Path Taken: Aspects of Modern Measurement Theory
  10. 4. Chaos Theory: A Brief Tutorial and Discussion
  11. 5. Imitatio Estes: Stimulus Sampling Origins of Weber’s Law
  12. 6. A Mathematical Theory of Attention in a Distractor Task
  13. 7. Triple Correlation and Texture Discrimination
  14. 8. Exemplars, Prototypes, and Similarity Rules
  15. 9. Stimulus Sampling and Distributed Representations in Adaptive Network Theories of Learning
  16. 10. Serial Organization in a Distributed Memory Model
  17. 11. Reducing Interference in Distributed Memories Through Episodic Gating
  18. 12. What Good is Connectionist Modeling? A Dialogue
  19. Author Index
  20. Subject Index