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



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Titolo: Causal learning [[electronic resource] ] : psychology, philosophy, and computation / / edited by Alison Gopnik, Laura Schulz Visualizza cluster
Pubblicazione: Oxford ; ; New York, : Oxford University Press, 2007
Descrizione fisica: 1 online resource (x 358 p.)
Disciplina: 153.1/5
Soggetto topico: Learning, Psychology of
Causation
Soggetto genere / forma: Electronic books.
Altri autori: GopnikAlison  
SchulzLaura Elizabeth  
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
Titolo autorizzato: Causal learning  Visualizza cluster
ISBN: 0-19-803928-X
1-281-15661-2
1-4356-0050-9
9786611156619
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910465140203321
Lo trovi qui: Univ. Federico II
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Serie: Oxford Series in Cognitive Development