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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-013.mrc:127271085:3616
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-013.mrc:127271085:3616?format=raw

LEADER: 03616cam a22003374a 4500
001 6154494
005 20221122001452.0
008 060607s2007 enka b 001 0 eng
010 $a 2006018902
020 $a0195176804 (cloth : alk. paper)
020 $a9780195176803 (cloth : alk. paper)
035 $a(OCoLC)ocm70107027
035 $a(OCoLC)70107027
035 $a(NNC)6154494
035 $a6154494
040 $aDLC$cDLC$dBAKER$dBTCTA$dC#P$dIXA
050 00 $aBF318$b.C38 2007
082 00 $a153.1/5$222
245 00 $aCausal learning :$bpsychology, philosophy, and computation /$cedited by Alison Gopnik, Laura Schulz.
260 $aOxford ;$aNew York :$bOxford University Press,$c2007.
300 $ax, 358 pages :$billustrations ;$c26 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
505 0 $aIntroduction / 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 : 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.
650 0 $aLearning, Psychology of.$0http://id.loc.gov/authorities/subjects/sh85075526
650 0 $aCausation.$0http://id.loc.gov/authorities/subjects/sh85021459
700 1 $aGopnik, Alison.$0http://id.loc.gov/authorities/names/n96025075
700 1 $aSchulz, Laura Elizabeth.$0http://id.loc.gov/authorities/names/n2006045065
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/toc/ecip0615/2006018902.html
852 00 $bsci$hBF318$i.C38 2007