Front cover image for Causal learning : psychology, philosophy, and computation

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
eBook, English, 2007
Oxford University Press, Oxford, 2007
1 online resource (x, 358 pages) : illustrations
9780198039280, 9786611156619, 019803928X, 6611156615
252688772
Print version:
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