David Danks
David Danks
L. L. Thurstone Professor of Philosophy & Psychology, Carnegie Mellon University
Verified email at cmu.edu - Homepage
TitleCited byYear
A theory of causal learning in children: causal maps and Bayes nets.
A Gopnik, C Glymour, DM Sobel, LE Schulz, T Kushnir, D Danks
Psychological review 111 (1), 3, 2004
Equilibria of the Rescorla–Wagner model
D Danks
Journal of Mathematical Psychology 47 (2), 109-121, 2003
Confirmation in the cognitive sciences: The problematic case of Bayesian models
F Eberhardt, D Danks
Minds and Machines 21 (3), 389-410, 2011
Unifying the mind: Cognitive representations as graphical models
D Danks
Mit Press, 2014
Inferring hidden causes
T Kushnir, A Gopnik, L Schulz, D Danks
Proceedings of the Annual Meeting of the Cognitive Science Society 25 (25), 2003
Dynamical causal learning
D Danks, TL Griffiths, JB Tenenbaum
Advances in neural information processing systems, 83-90, 2003
Actual causation: a stone soup essay
C Glymour, D Danks, B Glymour, F Eberhardt, J Ramsey, R Scheines, ...
Synthese 175 (2), 169-192, 2010
Rational analyses, instrumentalism, and implementations
D Danks
The probabilistic mind: Prospects for rational models of cognition, 59-75, 2008
Integrating locally learned causal structures with overlapping variables
D Danks, C Glymour, RE Tillman
Advances in Neural Information Processing Systems, 1665-1672, 2009
In defense of a broad conception of experimental philosophy
D Rose, D Danks
Metaphilosophy 44 (4), 512-532, 2013
The independence thesis: When individual and social epistemology diverge
C Mayo-Wilson, KJS Zollman, D Danks
Philosophy of Science 78 (4), 653-677, 2011
Heidelberg Retina Tomograph 3 machine learning classifiers for glaucoma detection
KA Townsend, G Wollstein, D Danks, KR Sung, H Ishikawa, L Kagemann, ...
British Journal of Ophthalmology 92 (6), 814-818, 2008
The psychology of causal perception and reasoning
D Danks
Oxford University Press, 2009
Causal learning from observations and manipulations
D Danks
Thinking with data, 359-388, 2007
The supposed competition between theories of human causal inference
D Danks
Philosophical Psychology 18 (2), 259-272, 2005
Algorithmic Bias in Autonomous Systems.
D Danks, AJ London
IJCAI, 4691-4697, 2017
Learning causal structure from undersampled time series
D Danks, S Plis
figshare, 2013
Wisdom of crowds versus groupthink: learning in groups and in isolation
C Mayo-Wilson, K Zollman, D Danks
International Journal of Game Theory 42 (3), 695-723, 2013
Theory unification and graphical models in human categorization
D Danks
Causal learning: Psychology, philosophy, and computation, 173-189, 2007
Data driven methods for nonlinear granger causality: Climate teleconnection mechanisms
T Chu, D Danks, C Glymour
figshare, 2005
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