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 Probability -- 8 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 Mechanisms -- 15 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.