Learning Causal Structure (2002)

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by David A. Lagnado , Steven Sloman
Venue:In Proceedings of the 24th
Citations:18 - 3 self

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22 Beyond covariation: Cues to causal structure – Michael R. Waldmann, York Hagmayer, Steven A. Sloman, David A. Lagnado, David A. Lagnado - 2006
Inferring Causal Networks – Mark Steyvers , Joshua B. Tenenbaum , Eric-Jan Wagenmakers , Ben Blum - 2003
Beyond Covariation 1 Beyond covariation: Cues to causal structure – David A. Lagnado, Michael R. Waldmann, York Hagmayer, Steven A. Sloman, David A. Lagnado
20 Representing causation – Phillip Wolff - 2007
8 2004: The folk psychology of free will: Fits and starts – Shaun Nichols
Observation vs. Intervention 1 Causal Reasoning through Intervention – York Hagmayer, Steven A. Sloman, David A. Lagnado, Michael R. Waldmann
Causal Induction from Continuous Event Streams – Marc J Buehner, Jon May
11 Knowledge mediates the timeframe of covariation assessment in human causal induction – Marc J Buehner, Jon May
High-Level Cognitive Processes in Causal Judgments: An Integrated Model – Andrea Stocco, Danilo Fum, Stefano Drioli
1 The role of compound cues in causal judgment: Associative and probabilistic effects – Danilo Fum, Andrea Stocco - 2003
Structure Learning in Human Causal Induction – Joshua Tenenbaum Thomas, Thomas L. Griffiths - 2001
A brand new ball game: Bayes net and neural net learning mechanisms in young children – Alison Gopnik, et al.
Address for correspondence: – David A. Lagnado, Ben R. Newell, Steven Kahan, David R. Shanks, David A. Lagnado
Synthese DOI 10.1007/s11229-009-9497-9 Actual causation: a stone soup essay – Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph Ramsey, Richard Scheines, Peter Spirtes, Choh Man, Teng Jiji Zhang, B. Glymour, F. Eberhardt, J. Ramsey, R. Scheines, P. Spirtes, C. M. Teng, J. Zhang - 2008
2 Bayesian models of judgments of causal strength: A comparison – Hongjing Lu, Alan Yuille, Mimi Liljeholm, Patricia W. Cheng, Keith J. Holyoak - 2007
McDonnell Foundation Causal Learning Collaborative Initiative – Laura E. Schulz, Jessica Sommerville, Helen Gordon
519-524). Mahwah, NJ: Erlbaum. Modeling Causal Learning Using Bayesian Generic Priors on Generative and Preventive Powers – In R. Sun, N. Miyake (eds, Proceedings Of The Twentyeighth, Hongjing Lu, Alan Yuille, Mimi Liljeholm, Patricia W. Cheng, Keith J. Holyoak
DOI 10.1007/s11229-009-9497-9 – Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph Ramsey, Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph Ramsey, Richard Scheines, Choh Man Teng, Jiji Zhang, Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph Ramsey, Richard Scheines, Peter Spirtes, Choh Man, Teng Jiji Zhang - 2008
Is everyday causation deterministic or probabilistic? – unknown authors