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David Danks
David Danks
Professor of Data Science & Philosophy; UC San Diego
Geverifieerd e-mailadres voor ucsd.edu - Homepage
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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
14512004
Algorithmic Bias in Autonomous Systems.
D Danks, AJ London
IJCAI 17, 4691-4697, 2017
2282017
Equilibria of the Rescorla–Wagner model
D Danks
Journal of Mathematical Psychology 47 (2), 109-121, 2003
2212003
Unifying the mind: Cognitive representations as graphical models
D Danks
Mit Press, 2014
1352014
Confirmation in the cognitive sciences: The problematic case of Bayesian models
F Eberhardt, D Danks
Minds and Machines 21 (3), 389-410, 2011
1012011
Inferring hidden causes
T Kushnir, A Gopnik, L Schulz, D Danks
Proceedings of the Annual Meeting of the Cognitive Science Society 25 (25), 2003
882003
Actual causation: a stone soup essay
C Glymour, D Danks, B Glymour, F Eberhardt, J Ramsey, R Scheines, ...
Synthese 175 (2), 169-192, 2010
862010
The independence thesis: When individual and social epistemology diverge
C Mayo-Wilson, KJS Zollman, D Danks
Philosophy of Science 78 (4), 653-677, 2011
762011
Dynamical causal learning
D Danks, T Griffiths, J Tenenbaum
Advances in neural information processing systems 15, 2002
752002
Causal discovery algorithms: A practical guide
D Malinsky, D Danks
Philosophy Compass 13 (1), e12470, 2018
632018
Integrating locally learned causal structures with overlapping variables
D Danks, C Glymour, R Tillman
Advances in Neural Information Processing Systems 21, 2008
632008
The psychology of causal perception and reasoning
D Danks
Carnegie Mellon University, 2009
622009
Rational analyses, instrumentalism, and implementations
D Danks, N Chater, M Oaksford
The probabilistic mind: Prospects for rational models of cognition, 59-75, 2008
612008
In defense of a broad conception of experimental philosophy
D Rose, D Danks
Metaphilosophy 44 (4), 512-532, 2013
532013
Regulating autonomous systems: Beyond standards
D Danks, AJ London
IEEE Intelligent Systems 32 (1), 88-91, 2017
522017
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
472008
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
462013
Impacts on trust of healthcare AI
E LaRosa, D Danks
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 210-215, 2018
392018
“Trust but Verify”: The difficulty of trusting autonomous weapons systems
HM Roff, D Danks
Journal of Military Ethics 17 (1), 2-20, 2018
392018
Learning causal structure from undersampled time series
D Danks, S Plis
Carnegie Mellon University, 2013
382013
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Artikelen 1–20