From Learning Theory to Connectionist Theory

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

Alice F. Healy, Stephen M. Kosslyn, Richard M. Shiffrin (Herausgeber)

Buch | Hardcover

292 Seiten

1992
Psychology Press (Verlag)
978-0-8058-1097-4 (ISBN)

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The first volume of two that consist of chapters written by students and colleagues of W.K. Estes, who made contributions to mathematical as well as cognitive and experimental psychology. This volume features mathematical and theoretical essays.

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.

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

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.

Erscheint lt. Verlag	13.7.1992
Verlagsort	Philadelphia
Sprache	englisch
Maße	152 x 229 mm
Gewicht	521 g
Themenwelt	Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie
	Geisteswissenschaften ► Psychologie ► Verhaltenstherapie
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
ISBN-10	0-8058-1097-8 / 0805810978
ISBN-13	978-0-8058-1097-4 / 9780805810974
Zustand	Neuware