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CAUSAL LEARNING
Causal Learning
Advances in Research and Theory
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Douglas Medin, Northwestern University, Evanston, IL, USA
David Shanks, University College London, U.K.
Keith Holyoak, University of California

Description
The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditions to complex learning and problem solving. This guest-edited special volume is devoted to current research and discussion on associative versus cognitive accounts of learning. Written by major investigators in the field, topics include all aspects of causal learning in an open forum in which different approaches are brought together.

Contents
A.G. Baker, R.A. Murphy and F. Vallée-Tourangeau, Associative and Normative Models of Causal Induction: Reacting to Versus Understanding Cause.M.R. Waldmann, Knowledge-Based Causal Induction.D.A. Williams, A Comparative Analysis of Negative Contingency Learning in Humans and Nonhumans.R.R. Miller and H. Matute, Animal Analogues of Causal Judgment.B.A. Spellman, Conditionalizing Causality.E.A. Wasserman, S-F Kao, L.J. Van Hamme, M. Katagiri and M.E. Young, Causation and Association. D.R. Shanks, F.J. Lopez, R.J. Darby and A. Dickinson, Distinguishing Associative and Probabilistic Contrast Theories of Human Contingency Judgment.P.W. Cheng, J. Park, A.S. Yarlas and K.J. Holyoak, A Causal-Power Theory of Focal Sets.J.R. Busemeyer, M.A. McDaniel and E. Byun, The Use of Intervening Variables in Causal Learning.J. Pearl, Structural and Probabilistic Causality. Index. Contents of Recent Volumes.

Bibliographic details
Hardbound, 442 pages, publication date: AUG-1996
ISBN-13: 978-0-12-543334-1
ISBN-10: 0-12-543334-4
Imprint: ACADEMIC PRESS

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Last update: 3 Oct 2009
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