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. 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
Author(s): David R. Shanks, Douglas L. Medin and Keith J. Holyoak (Eds.)
Series: Psychology of Learning and Motivation 34
Edition: 1
Publisher: Elsevier, Academic Press
Year: 1996
Language: English
Pages: iii-xii, 1-438
Content:
Edited by
Page iii
Copyright page
Page iv
Contributors
Pages ix-x
Preface
Pages xi-xii
David R. Shanks, Keith J. Holyoak, Douglas L. Medin
Associative and Normative Models of Causal Induction: Reacting to Versus Understanding Cause Original Research Article
Pages 1-45
A.G. Baker, Robin A. Murphy
Knowledge-Based Causal Induction Original Research Article
Pages 47-88
Michael R. Waldmann
A Comparative Analysis of Negative Contingency Learning in Humans and Nonhumans Original Research Article
Pages 89-131
Douglas A. Williams
Animal Analogues of Causal Judgment Original Research Article
Pages 133-166
Ralph R. Miller, Helena Matute
Conditionalizing Causality Original Research Article
Pages 167-206
Barbara A. Spellman
Causation and Association Original Research Article
Pages 207-264
Edward A. Wasserman, Shu-Fang Kao, Linda J. Van Hamme, Masayoshi Katagiri, Michael E. Young
Distinguishing Associative and Probabilistic Contrast Theories of Human Contingency Judgment Original Research Article
Pages 265-311
David R. Shanks, Francisco J. Lopez, Richard J. Darby, Anthony Dickinson
A Causal-Power Theory of Focal Sets Original Research Article
Pages 313-355
Patricia W. Cheng, Jooyong Park, Aaron S. Yarlas, Keith J. Holyoak
The Use of Intervening Variables in Causal Learning Original Research Article
Pages 357-391
Jerome R. Busemeyer, Mark A. McDaniel, Eunhee Byun
Structural and Probabilistic Causality Original Research Article
Pages 393-435
Judea Pearl
index
Pages 437-438
