David Danks - Google Scholar

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Alison GOPNIKProfessor of Psychology, BerkeleyVerified email at berkeley.edu
Tamar KushnirAssociate Professor, Human Development, Cornell UniversityVerified email at cornell.edu
David SobelBrown UniversityVerified email at brown.edu
Sergey PlisTReNDS center: GSU, Emory, and GATechVerified email at gsu.edu
Richard ScheinesDean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Peter SpirtesProfessor of Philosophy, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Alex John LondonCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Kevin ZollmanCarnegie Mellon UniversityVerified email at andrew.cmu.edu
David RoseStanford UniversityVerified email at stanford.edu
Conor Mayo-WilsonUniversity of WashingtonVerified email at uw.edu
Joel S. Schuman, MD, FACSProf & VC Research, Ophthalmology, Prof Neuroscience & Physiology, Biomedical EngineeringVerified email at nyu.edu
Hiroshi IshikawaProfessor, New York UniversityVerified email at nyumc.org
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Tianjiao ChuMagee Womens Research Institute, University of PittsburghVerified email at mwri.magee.edu
Erich KummerfeldResearch Assistant Professor, Institute for Health Informatics, University of MinnesotaVerified email at umn.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Cynthia FreemanVerint Intelligent Self-ServiceVerified email at verint.com
Antti HyttinenHIIT/University of HelsinkiVerified email at helsinki.fi
Matti JärvisaloAssociate Professor, University of HelsinkiVerified email at helsinki.fi

David Danks

L. L. Thurstone Professor of Philosophy & Psychology, Carnegie Mellon University

Verified email at cmu.edu - Homepage

Philosophy of science Cognitive science Ethics & AI Causal discovery


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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	1290	2004
Equilibria of the Rescorla–Wagner model D Danks Journal of Mathematical Psychology 47 (2), 109-121, 2003	199	2003
Unifying the mind: Cognitive representations as graphical models D Danks Mit Press, 2014	100	2014
Algorithmic Bias in Autonomous Systems. D Danks, AJ London IJCAI, 4691-4697, 2017	95	2017
Confirmation in the cognitive sciences: The problematic case of Bayesian models F Eberhardt, D Danks Minds and Machines 21 (3), 389-410, 2011	87	2011
Inferring hidden causes T Kushnir, A Gopnik, L Schulz, D Danks Proceedings of the Annual Meeting of the Cognitive Science Society 25 (25), 2003	82	2003
Dynamical causal learning D Danks, TL Griffiths, JB Tenenbaum Advances in neural information processing systems, 83-90, 2003	75	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	65	2010
Rational analyses, instrumentalism, and implementations D Danks The probabilistic mind: Prospects for rational models of cognition, 59-75, 2008	59	2008
The independence thesis: When individual and social epistemology diverge C Mayo-Wilson, KJS Zollman, D Danks Philosophy of Science 78 (4), 653-677, 2011	58	2011
Integrating locally learned causal structures with overlapping variables D Danks, C Glymour, RE Tillman Advances in Neural Information Processing Systems, 1665-1672, 2009	55	2009
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	44	2008
The psychology of causal perception and reasoning D Danks Carnegie Mellon University, 2009	43	2009
In defense of a broad conception of experimental philosophy D Rose, D Danks Metaphilosophy 44 (4), 512-532, 2013	41	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	36	2013
Causal discovery algorithms: A practical guide D Malinsky, D Danks Philosophy Compass 13 (1), e12470, 2018	35	2018
The supposed competition between theories of human causal inference D Danks Philosophical Psychology 18 (2), 259-272, 2005	35	2005
Causal learning from observations and manipulations D Danks Thinking with data, 359-388, 2007	33	2007
Data driven methods for nonlinear granger causality: Climate teleconnection mechanisms T Chu, D Danks, C Glymour Carnegie Mellon University, 2005	33*	2005
Learning causal structure from undersampled time series D Danks, S Plis Carnegie Mellon University, 2013	32	2013

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