Causal learning [[electronic resource] ] : psychology, philosophy, and computation / / edited by Alison Gopnik, Laura Schulz

• Record Nr.: UNINA9910465140203321
• Pubbl/distr/stampa: Oxford ; ; New York, : Oxford University Press, 2007
• ISBN: 0-19-803928-X; 1-281-15661-2; 1-4356-0050-9; 9786611156619
• Descrizione fisica: 1 online resource (x 358 p.)
• Collana: Oxford Series in Cognitive Development
• Altri autori (Persone): GopnikAlison; SchulzLaura Elizabeth
• Disciplina: 153.1/5
• Soggetti: Learning, Psychology of; Causation; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; 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; Introduction 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; Introduction 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
• Sommario/riassunto: Introduction. 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