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23
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Theory-based causal induction
– Thomas L. Griffiths, Joshua B. Tenenbaum
- 2003
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8
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Beyond covariation: Cues to causal structure
– Michael R. Waldmann, York Hagmayer, Steven A. Sloman, David A. Lagnado, David A. Lagnado
- 2006
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Learning & Behavior
– Michael R. Waldmann, Jessica M. Walker
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Elemental Causal Induction
– Thomas L. Griffiths, Joshua B. Tenenbaum
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5
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The Role of Causality in Judgment Under Uncertainty
– Tevye R. Krynski, Joshua B. Tenenbaum
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56
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Structure and Strength in Causal Induction
– Thomas L. Griffiths, Joshua B. Tenenbaum
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11
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Intuitive theories as grammars for causal inference
– Joshua B. Tenenbaum, Thomas L. Griffiths, Sourabh Niyogi
- 2007
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95
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A theory of causal learning in children: Causal maps and Bayes nets
– Alison Gopnik, Clark Glymour, David M. Sobel, Laura E. Schulz, Tamar Kushnir, David Danks
- 2004
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2010 © Eric Gregory TaylorLEARNING AND RESTRUCTURING CAUSAL CONCEPTS BY
– Eric Gregory Taylor
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2
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Assessing the causal structure of function
– Sergio E. Chaigneau, Lawrence W. Barsalou, Steven A. Sloman
- 2004
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2
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Causal Reasoning through Intervention
– York Hagmayer, Steven A. Sloman, David A. Lagnado, Michael R. Waldmann
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A brand new ball game: Bayes net and neural net learning mechanisms in young children
– Alison Gopnik, et al.
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8
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Two proposals for causal grammar
– Thomas L. Griffiths, Joshua B. Tenenbaum
- 2007
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4
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Learning the form of causal relationships using hierarchical Bayesian models
– Christopher G. Lucas, Thomas L. Griffiths
- 2010
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Send all correspondence to:
– Brett Hayes, Bob Rehder, Brett K. Hayes
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9
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Predictions and causal estimations are not supported by the same associative structure
– Miguel A. Vadillo, Helena Matute
- 2007
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Address for correspondence:
– David A. Lagnado, Ben R. Newell, Steven Kahan, David R. Shanks, David A. Lagnado
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Learning to learn causal models
– Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
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6
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Simulating Causal Models: The Way to Structural Sensitivity
– York Hagmayer, Michael R. Waldmann
- 2000
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