From Learning Theory to Connectionist Theory, Volume 1

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Alice F. Healy, Stephen Michael Kosslyn, Richard M. Shiffrin
Psychology Press, 1992 - Psychology - 281 pages
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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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Contents

Estes Statistical Learning Theory Past Present and Future
1
Choosing Between Uncertain Options A Reprise to the Estes Scanning Model
21
A Path Taken Aspects of Modern Measurement Theory
45
Chaos Theory A Brief Tutorial and Discussion
65
Imitatio Estes Stimulus Sampling Origins of Webers Law
97
A Mathematical Theory of Attention in a Distractor Task
115
Triple Correlation and Texture Discrimination
133
Exemplars Prototypes and Similarity Rules
149
Stimulus Sampling and Distributed Representations in Adaptive Network Theories of Learning
169
Serial Organization in a Distributed Memory Model
201
Reducing Interference in Distributed Memories Through Episodic Gating
227
What Good is Connectionist Modeling? A Dialogue
249
Author Index
267
Subject Index
275
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