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Genre/Form: | Electronic books |
---|---|
Additional Physical Format: | Print version: Causal learning. Oxford ; New York : Oxford University Press, 2007 (DLC) 2006018902 |
Material Type: | Document, Internet resource |
Document Type: | Internet Resource, Computer File |
All Authors / Contributors: |
Alison Gopnik; Laura Elizabeth Schulz |
ISBN: | 019803928X 9780198039280 9786611156619 6611156615 |
OCLC Number: | 252688772 |
Description: | 1 online resource (x, 358 pages) : illustrations |
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. |
Series Title: | Oxford series in cognitive development. |
Responsibility: | edited by Alison Gopnik, Laura Schulz. |
More information: |
Abstract:
Causal Learning provides a compendium of research determining how, in principle, the problem of causal inference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals.
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...well worth the effort of reading...a well-developed overview of the current state of research in the field of causal learning. * PsycCritiques *
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