Causal learning [electronic resource] : psychology, philosophy, and computation

상세정보

자료유형	단행본
서명/저자사항	Causal learning [electronic resource]: psychology, philosophy, and computation / edited by Alison Gopnik, Laura Schulz.
개인저자	Gopnik, Alison.  Schulz, Laura.
단체저자명	NetLibrary, Inc.
발행사항	Oxford ; New York: Oxford University Press, 2007.
형태사항	1 online reosource(x, 358 p.) : ill.
ISBN	9781435600508 (electronic bk.) 1435600509 (electronic bk.)
서지주기	Includes bibliographical references and index.
내용주기	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 ... [et al.] -- 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 :1 cues to causal structure / David A. Lagnado ... [et al.] -- 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.
복제주기	Electronic reproduction. Boulder, Colo. : NetLibrary, 2007. Available via World Wide Web. Access may be limited to NetLibrary affiliated libraries.
일반주제명	Learning, Psychology of. Causation.
분류기호(DDC)	153.15
언어	영어
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