nips nips2002 nips2002-75 nips2002-75-reference knowledge-graph by maker-knowledge-mining

75 nips-2002-Dynamical Causal Learning


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Author: David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum

Abstract: Current psychological theories of human causal learning and judgment focus primarily on long-run predictions: two by estimating parameters of a causal Bayes nets (though for different parameterizations), and a third through structural learning. This paper focuses on people's short-run behavior by examining dynamical versions of these three theories, and comparing their predictions to a real-world dataset. 1


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