LEADER 02988nam 2200541 a 450 001 9910974248003321 005 20251116153142.0 010 $a9780198039280 010 $a019803928X 010 $a978019517680 035 $a(MiAaPQ)EBC7037088 035 $a(CKB)24235062900041 035 $a(MiAaPQ)EBC415148 035 $a(Au-PeEL)EBL415148 035 $a(CaPaEBR)ebr10199707 035 $a(CaONFJC)MIL115661 035 $a(OCoLC)476240406 035 $a(Au-PeEL)EBL7037088 035 $a(OCoLC)252688772 035 $a(EXLCZ)9924235062900041 100 $a20060607d2007 uy 0 101 0 $aeng 135 $auraz#---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCausal learning $epsychology, philosophy, and computation /$fedited by Alison Gopnik, Laura Schulz 205 $a1st ed. 210 $aOxford ;$aNew York $cOxford University Press$d2007 215 $a1 online resource 225 1 $aOxford Series in Cognitive Development 320 $aIncludes bibliographical references and index. 327 $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 ... 330 $aCasual Learning provides a compendium of research determining how, in principle, the problem of causal inference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals.This is the first book to bring together leading researchers carrying out this new research in all these areas of cognitive science. The chapters focus on three topics: the role of intervention and action in causal understanding, the role of causation in categories and concepts, and the relationship between causal learning and intuitive theory formation. The book provides an accessible and clear introduction to the new computational ideas, and with many coauthored chapters and much interaction between the chapters, it presents an active dialogue among the authors. 410 0$aOxford Series in Cognitive Development. 606 $aLearning, Psychology of 606 $aCausation 615 0$aLearning, Psychology of. 615 0$aCausation. 676 $a153.1/5 701 $aGopnik$b Alison$0478574 701 $aSchulz$b Laura Elizabeth$01859573 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910974248003321 996 $aCausal learning$94463575 997 $aUNINA