LEADER 04174nam 2200673 a 450 001 9910465140203321 005 20200520144314.0 010 $a0-19-803928-X 010 $a1-281-15661-2 010 $a1-4356-0050-9 010 $a9786611156619 035 $a(CKB)2560000000299384 035 $a(EBL)415148 035 $a(OCoLC)476240406 035 $a(SSID)ssj0000118903 035 $a(PQKBManifestationID)11871416 035 $a(PQKBTitleCode)TC0000118903 035 $a(PQKBWorkID)10076739 035 $a(PQKB)11623137 035 $a(StDuBDS)EDZ0000083392 035 $a(MiAaPQ)EBC415148 035 $a(Au-PeEL)EBL415148 035 $a(CaPaEBR)ebr10199707 035 $a(CaONFJC)MIL115661 035 $a(EXLCZ)992560000000299384 100 $a20060607d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCausal learning$b[electronic resource] $epsychology, philosophy, and computation /$fedited by Alison Gopnik, Laura Schulz 210 $aOxford ;$aNew York $cOxford University Press$d2007 215 $a1 online resource (x 358 p.) 225 1 $aOxford Series in Cognitive Development 300 $aDescription based upon print version of record. 311 $a0-19-517680-4 311 $a0-19-995851-3 320 $aIncludes bibliographical references and index. 327 $aContents; Contributors; Introduction; PART I: CAUSATION AND INTERVENTION; 1 Interventionist Theories of Causation in Psychological Perspective; 2 Infants' Causal Learning: Intervention, Observation, Imitation; 3 Detecting Causal Structure: The Role of Interventions in Infants' Understanding of Psychological and Physical Causal Relations; 4 An Interventionist Approach to Causation in Psychology; 5 Learning From Doing: Intervention and Causal Inference; 6 Causal Reasoning Through Intervention; 7 On the Importance of Causal Taxonomy; PART II: CAUSATION AND PROBABILITY 327 $aIntroduction to Part II: Causation and Probability8 Teaching the Normative Theory of Causal Reasoning; 9 Interactions Between Causal and Statistical Learning; 10 Beyond Covariation: Cues to Causal Structure; 11 Theory Unification and Graphical Models in Human Categorization; 12 Essentialism as a Generative Theory of Classification; 13 Data-Mining Probabilists or Experimental Determinists? A Dialogue on the Principles Underlying Causal Learning in Children; 14 Learning the Structure of Deterministic Systems; PART III: CAUSATION, THEORIES, AND MECHANISMS 327 $aIntroduction to Part III: Causation, Theories, and Mechanisms15 Why Represent Causal Relations?; 16 Causal Reasoning as Informed by the Early Development of Explanations; 17 Dynamic Interpretations of Covariation Data; 18 Statistical Jokes and Social Effects: Intervention and Invariance in Causal Relations; 19 Intuitive Theories as Grammars for Causal Inference; 20 Two Proposals for Causal Grammars; Notes; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Z 330 $aIntroduction. Allison Gopnik and Laura Schulz Part I. Causation and Intervention 1. Interventionist Theories of Causation in Psychological Perspective, Jim Woodward 2. Infants' Causal Learning: Intervention, Observation, Imitation, Andrew N. Meltzoff 3. Detecting Causal Structure: The Role of Intervention in Infants' Understanding of Psychological and Physical Causal Relations, Jessica A. Sommerville 4. An Interventionist Approach to Causation in Psychology, John Campbell 5. Learning From Doing: Intervention and Causal Inference, Laura Schulz, Tamar Kushnir, and Alison Gopnik 6. Casual 410 0$aOxford Series in Cognitive Development 606 $aLearning, Psychology of 606 $aCausation 608 $aElectronic books. 615 0$aLearning, Psychology of. 615 0$aCausation. 676 $a153.1/5 701 $aGopnik$b Alison$0478574 701 $aSchulz$b Laura Elizabeth$0935219 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465140203321 996 $aCausal learning$92106346 997 $aUNINA