From Learning Theory to Connectionist Theory
Essays in Honor of William K. Estes, Volume I; From Learning Processes to Cognitive Processes, Volume II
Herausgeber: Healy, Alice F; Shiffrin, Richard M; Kosslyn, Stephen M
From Learning Theory to Connectionist Theory
Essays in Honor of William K. Estes, Volume I; From Learning Processes to Cognitive Processes, Volume II
Herausgeber: Healy, Alice F; Shiffrin, Richard M; Kosslyn, Stephen M
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First Published in 1992. Routledge is an imprint of Taylor & Francis, an informa company.
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First Published in 1992. Routledge is an imprint of Taylor & Francis, an informa company.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 288
- Erscheinungstermin: 1. Mai 1992
- Englisch
- Abmessung: 228mm x 156mm x 19mm
- Gewicht: 467g
- ISBN-13: 9780805810981
- ISBN-10: 0805810986
- Artikelnr.: 25689333
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 288
- Erscheinungstermin: 1. Mai 1992
- Englisch
- Abmessung: 228mm x 156mm x 19mm
- Gewicht: 467g
- ISBN-13: 9780805810981
- ISBN-10: 0805810986
- Artikelnr.: 25689333
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.
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.
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.
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.