From Learning Theory to Connectionist Theory (eBook, ePUB)

Essays in Honor of William K. Estes, Volume I; From Learning Processes to Cognitive Processes, Volume II
Redaktion: Healy, Alice F.; Shiffrin, Richard M.; Kosslyn, Stephen M.

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 288
• Erscheinungstermin: 15. April 2013
• Englisch
• ISBN-13: 9781134768257
• Artikelnr.: 40186556

Autorenporträt

Edited by Healy, Alice F.; Kosslyn, Stephen M.; Shiffrin, Richard M.

Inhaltsangabe

Volume I: From Learning Theory to Connectionist Theory. Contents: P. Suppes
Estes' Statistical Learning Theory: Past
Present
and Future. G. Bower
E. Heit
Choosing Between Uncertain Options: A Reprise to the Estes Scanning Model. R.D. Luce
A Path Taken: Aspects of Modern Measurement Theory. J.T. Townsend
Chaos Theory: A Brief Tutorial and Discussion. S. Link
Imitatio Estes: Stimulus Sampling Origins of Weber's Law. D. LaBerge
A Mathematical Theory of Attention in a Distractor Task. J.I. Yellot
Jr.
Triple Correlation and Texture Discrimination. R.M. Nosofsky
Exemplars
Prototypes
and Similarity Rules. M.A. Gluck
Stimulus Sampling and Distributed Representations in Adaptive Network Theories of Learning. B.B. Murdock
Serial Organization in a Distributed Memory Model. S.A. Sloman
D.E. Rumelhart
Reducing Interference in Distributed Memories Through Episodic Gating. J.G. Rueckl
S.M. Kosslyn
What Good is Connectionist Modeling? A Dialogue.