Causal Learning: Psychology, Philosophy, and Computation (Oxford Series in Cognitive Development)

'causal Learning' Provides A Compendium Of Research Determining How, In Principle, The Problem Of Causal Interference And Learning Can Be Solved, And A Wealth Of Methods For Determining How It Is, In Fact, Solved By Children, Adults, And Animals. 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 Interventions 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 ... [et Al.] -- 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 ... [et Al.] -- 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. Edited By Alison Gopnik, Laura Schulz. Includes Bibliographical References And Index.