Running head: Conditional interventions
| Abstract | The conditional intervention principle is a formal principle that relates patterns of interventions and outcomes to causal structure. It is a central assumption of the causal Bayes net formalism. Four experiments suggest that preschoolers can use the conditional intervention principle both to learn complex causal structure from patterns of evidence and to predict patterns of evidence from knowledge of causal structure. Other theories of causal learning do not account for these results. | |||||||||
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Gregory Wheeler & Richard Scheines (2011). Causation, Association and Confirmation. In Stephan Hartmann, Marcel Weber, Wenceslao Gonzalez, Dennis Dieks & Thomas Uebe (eds.), Explanation, Prediction, and Confirmation: New Trends and Old Ones Reconsidered. Springer.
Teresa McCormack & Patrick Burns (2011). Temporal Information and Children's and Adults' Causal Inferences. Thinking and Reasoning 15 (2):167-196.
Teresa McCormack & Patrick Burns (2011). Temporal Information and Children's and Adults' Causal Inferences. Thinking and Reasoning 15 (2):167-196.
Frederick Eberhardt & Richard Scheines (2007). Interventions and Causal Inference. Philosophy of Science 74 (5):981-995.
Sieghard Beller & Gregory Kuhnm (2007). What Causal Conditional Reasoning Tells Us About People's Understanding of Causality. Thinking and Reasoning 13 (4):426 – 460.
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