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Causal Learning


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Table of Contents

A.G. Baker, R.A. Murphy and F. Vallee-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.

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Key Features * Up-to-date review of the literature * Discusses recent controversies * Presents major advances in understanding causal learning * Synthesizes contrasting approaches * Includes important empirical contributions * Written by leading researchers in the field

About the Author

Douglas L. Medin is the series editor of The Psychology of Learning and Motivation.


Praise for the Series "A remarkable number of landmark papers...An important collection of theory and data." --Roberta L. Klatzky in CONTEMPORARY PSYCHOLOGY

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