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Causal learning : psychology, philosophy, and computation /
'Casual Learning' provides a compendium of research determining how, in principle, the problem of casual interference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals.
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford ; New York :
Oxford University Press,
2007.
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| Colección: | Oxford series in cognitive development.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Introduction / 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 [and others]
- 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 [and others]
- 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.