An edition of Causal learning
(1996)
Causal learning
by David R. Shanks, Keith James Holyoak, and Douglas L. Medin
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Deals with the research and discussion on associative versus cognitive accounts of learning. This book covers various aspects of causal learning in an open forum in which different approaches are brought together. It offers a review of the literature; discusses controversies; presents major advances in understanding causal learning; and more.
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Previews available in: English
Subjects
Causality, Association Learning, Cognitive Psychology, SCIENCE, Association of ideas, Causaliteit, Cognitive Science, Leren, Inductie (logica), Kennisverwerving, Psychology of Learning, PSYCHOLOGY, Motivation (Psychology), Learning, Perception, Psychology Transfer, Motivation, Psychologie de l'apprentissage, Motivation (Psychologie), ApprentissageShowing 1 featured edition. View all 1 editions?
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Table of Contents
Associative and normative models of causal induction ; reacting to versus understanding cause -- A.G. Baker, Robin A. Murphy, and Fre de ric Valle e-Tourangeau
Knowledge-based causal induction -- Michael R. Waldmann
A comparative analysis of negative contingency learning in humans and nonhumans -- Douglas A. Williams
Animal analogues of causal judgment -- Ralph R. Miller and Helena Matute
Conditionalizing causality -- Barbara A. Spellman
Causation and association -- Edward A. Wasserman ... [et al.]
Distinguishing associative and probabilistic contrast theories of human contingency judgment -- David R. Shanks ... [et al.]
A causal-power theory of focal sets -- Patricia W. Cheng ... [et al.]
The use of intervening variables in causal learning -- Jerome R. Busemeyer
Structural and probabilistic causality -- Judea Pearl.
Edition Notes
Includes bibliographical references and index.
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| July 29, 2022 | Edited by ImportBot | import existing book |
| September 17, 2021 | Edited by ImportBot | import existing book |
| July 29, 2014 | Created by ImportBot | import new book |