David Danks (danks-d)

Beiträge zu Philosophie.ch

Bibliography

Danks, David. 2007. “Theory Unification and Graphical Models in Human Categorization.” in Causal Learning: Psychology, Philosophy and Computation, edited by Alison Gopnik and Laura Schulz, pp. 173–189. Oxford: Oxford University Press.
Danks, David. 2009. “The Psychology of Causal Perception and Reasoning.” in The Oxford Handbook of Causation, edited by Helen Beebee, Christopher R. Hitchcock, and Peter Menzies, pp. 447–470. Oxford Handbooks. Oxford: Oxford University Press, doi:10.1093/oxfordhb/9780199279739.001.0001.
Danks, David. 2013. “Functions and Cognitive Bases for the Concept of Actual Causation.” Erkenntnis 78(suppl., 1): 111–128.
Danks, David. 2014a. Unifying the Mind. Cognitive Representations as Graphical Models. Cambridge, Massachusetts: The MIT Press.
Danks, David. 2014b. “Learning.” in The Cambridge Handbook of Artificial Intelligence, edited by Keith Frankish and William M. Ramsey, pp. 151–167. Cambridge Handbooks. Cambridge: Cambridge University Press.
Danks, David. 2015. “Goal-Dependence in (Scientific) Ontology.” Synthese 192(11): 3601–3616.
Danks, David. 2019. “Probabilistic Models.” in The Routledge Handbook of the Computational Mind, edited by Mark Sprevak and Matteo Colombo, pp. 149–158. Routledge Handbooks in Philosophy. London: Routledge.
Danks, David and Danks, Joseph H. 2016. “Beyond Machines: Humans in Cyberoperations, Espionage, and Conflict.” in Binary Bullets. The Ethics of Cyberwarfare, edited by Fritz Allhoff, Adam Henschke, and Bradley Jay Strawser, pp. 177–200. Oxford: Oxford University Press, doi:10.1093/acprof:oso/9780190221072.001.0001.
Danks, David and Eberhardt, Frederick. 2009. “Conceptual Problems in Statistics, Testing and Experimentation.” in The Routledge Companion to Philosophy of Psychology, edited by John Symons and Paco Calvo, pp. 214–230. Routledge Philosophy Companions. London: Routledge.
Danks, David, Rose, David and Machery, Edouard. 2014. “Demoralizing Causation.” Philosophical Studies 171(2): 251–277.
Fazelpour, Sina and Danks, David. 2021. “Algorithmic Bias: Senses, Sources, Solutions.” Philosophy Compass 16(8), doi:10.1111/phc3.12760.
Kummerfeld, Erich and Danks, David. 2014. “Model Change and Reliability in Scientific Inference.” Synthese 191(12): 2673–2693.
Malinsky, Daniel and Danks, David. 2018. “Causal Discovery Algorithms: A Practical Guide.” Philosophy Compass 13(1), doi:10.1111/phc3.12470.
Rose, David and Danks, David. 2012. “Causation: Empirical Trends and Future Directions.” Philosophy Compass 7(9): 643–653.
Scheines, Richard, Easterday, Matt and Danks, David. 2007. “Teaching the Normative Theory of Causal Reasoning.” in Causal Learning: Psychology, Philosophy and Computation, edited by Alison Gopnik and Laura Schulz, pp. 119–138. Oxford: Oxford University Press.