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
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- 288 pages
- English
- ePUB (mobile friendly)
- 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.
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Table of contents
- Front Cover
- Half Title
- Title Page
- Copyright
- Contents
- Preface
- 1. Estesâ Statistical Learning Theory: Past, Present, and Future
- 2. Choosing Between Uncertain Options: A Reprise to the Estes Scanning Model
- 3. A Path Taken: Aspects of Modern Measurement Theory
- 4. Chaos Theory: A Brief Tutorial and Discussion
- 5. Imitatio Estes: Stimulus Sampling Origins of Weberâs Law
- 6. A Mathematical Theory of Attention in a Distractor Task
- 7. Triple Correlation and Texture Discrimination
- 8. Exemplars, Prototypes, and Similarity Rules
- 9. Stimulus Sampling and Distributed Representations in Adaptive Network Theories of Learning
- 10. Serial Organization in a Distributed Memory Model
- 11. Reducing Interference in Distributed Memories Through Episodic Gating
- 12. What Good is Connectionist Modeling? A Dialogue
- Author Index
- Subject Index