Dynamical Causal Learning

Part of Advances in Neural Information Processing Systems 15 (NIPS 2002)

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David Danks, Thomas Griffiths, Joshua Tenenbaum


theories of human causal

focus primarily on long-run predictions:

learning and Current psychological two by judgment estimating parameters of a causal Bayes nets (though for different parameterizations), and a third through structural learning. This short-run behavior by examining paper dynamical versions of these three theories, and comparing their predictions to a real-world dataset.

focuses on people's