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Title Causal learning : psychology, philosophy, and computation / edited by Alison Gopnik, Laura Schulz
Published Oxford ; New York : Oxford University Press, 2007
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Description 1 online resource (x, 358 pages) : illustrations
Series Oxford Series in Cognitive Development
Oxford series in cognitive development.
Contents Introduction / Alison Gopnik and Laura Schulz -- Part I: Causation and intervention -- Interventionist theories of causation in psychological perspective / Jim Woodward -- Infants' causal learning : intervention, observation, imitation / Andrew N. Meltzoff -- Detecting causal structure : the role of intervention in infants' understanding of psychological and physical causal relations / Jessica A. Sommerville -- An interventionist approach to causation in psychology / John Campbell -- Learning from doing : intervention and causal inference / Laura Schulz, Tamar Kushnir, and Alison Gopnik -- Causal reasoning through intervention / York Hagmayer [and others] -- On the importance of causal taxonomy / Christopher Hitchcock -- Part II: Causation and probability -- Introduction to part II : causation and probability / Alison Gopnik and Laura Schulz -- Teaching the normative theory of causal reasoning / Richard Scheines, Matt Easterday, and David Danks -- Interactions between causal and statistical learning / David M. Sobel and Natasha Z. Kirkham -- Beyond covariation : cues to causal structure / David A. Lagnado [and others] -- Theory unification and graphical models in human categorization / David Danks -- Essentialism as a generative theory of classification / Bob Rehder -- Data-mining probabilists or experimental determinists? a dialogue on the principles underlying causal learning in children / Thomas Richardson, Laura Schultz, and Alison Gopnik -- Learning the structure of deterministic systems / Clark Glymour -- Part III: Causation, theories, and mechanisms -- Introduction to part III : causation, theories, and mechanisms / Alison Gopnik and Laura Schulz -- Why represent causal relations? / Michael Strevens -- Causal reasoning as informed by the early development of explanations / Henry M. Wellman and David Liu -- Dynamic interpretations of covariation data / Woo-kyoung Ahn, Jessecae K. Marsh, and Christian C. Luhmann -- Statistical jokes and social effects : intervention and invariance in causal relations / Clark Glymour -- Intuitive theories as grammars for causal inference / Joshua B. Tenenbaum, Thomas L. Griffiths, and Sourabh Niyogi -- Two proposals for causal grammars / Thomas L. Griffiths and Joshua B. Tenenbaum
Summary 'Casual Learning' provides a compendium of research determining how, in principle, the problem of casual interference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Causation.
Learning, Psychology of.
Form Electronic book
Author Gopnik, Alison.
Schulz, Laura Elizabeth.
LC no. 2006018902
ISBN 019803928X (electronic bk.)
9780198039280 (electronic bk.)