INTERVENTIONISM, CONTROL VARIABLES AND CAUSATION IN THE QUALITATIVE WORLD
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Knowledge of higher-level regularities does not presuppose knowledge of the finer details of the system.
“It is well-received in both the philosophical and the computer science literature that knowledge of such higher-level regularities does not presuppose knowledge of the finer details of the system”
From AI, Opacity, and Personal Autonomy (2022) · cites this paper as Campbell, 2008
Cites
The environment and disease: association or causation?
Hill, A. B. (2015) · Journal of the Royal Society of Medicine · doi:10.1177/0141076814562718 · Cited by 7,302 · see citing works
The Environment and Disease: Association or Causation?
Hill, A. B. (1965) · Proceedings of the Royal Society of Medicine · doi:10.1177/003591576505800503 · Cited by 6,974 · see citing works
Causation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (1993) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2748-9 · Cited by 4,617 · see citing works
Making things happen: a theory of causal explanation
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Relationships Between Poverty and Psychopathology: A Natural Experiment
Costello, E. J., Compton, S. N., Keeler, G., & Angold, A. (2003) · JAMA · doi:10.1001/jama.290.15.2023 · Cited by 1,079 · see citing works
Dowe, P. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511570650 · Cited by 585 · see citing works
Causation and the flow of energy
Fair, D. (1979) · Erkenntnis · doi:10.1007/bf00174894 · Cited by 413 · see citing works
Clark, A. (1993) · The MIT Press eBooks · doi:10.7551/mitpress/1460.001.0001 · Cited by 393 · see citing works
Explanatory Generalizations, Part I: A Counterfactual Account
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The Mishap at Reichenbach Fall: Singular vs. General Causation
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Mysticism and logic and other essays / Bertrand Russell.
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Hitchcock, C. (2007) · doi:10.1093/oso/9780199278183.003.0003 · Cited by 39 · see citing works
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Causal–explanatory pluralism: How intentions, functions, and mechanisms influence causal ascriptions
Lombrozo, T. (2010) · Cognitive Psychology · doi:10.1016/j.cogpsych.2010.05.002 · Cited by 315 · see citing works
AI, Opacity, and Personal Autonomy
Vaassen, B. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00577-5 · Cited by 94 · see citing works
Causal inference and the hierarchical structure of experience.
Johnson, S. G. B., & Keil, F. C. (2014) · Journal of Experimental Psychology General · doi:10.1037/a0038192 · Cited by 45 · see citing works
The Explanatory Autonomy of Cognitive Models
Weiskopf, D. A. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780199685509.003.0003 · Cited by 40 · see citing works
Integrative Modeling and the Role of Neural Constraints
Weiskopf, D. A. (2016) · Philosophy of Science · doi:10.1086/687854 · Cited by 34 · see citing works
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Explicating Agency: The Case of Visual Attention
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Probing visual consciousness with transcranial magnetic stimulation
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Tasks in cognitive science: mechanistic and nonmechanistic perspectives
Taylor, S. D. (2023) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-023-09908-z
Personal autonomy as an ethical foundation for opaque algorithmic decision systems
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- Authors
- Campbell, J.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Campbell, John
- ORCID
- Campbell, John
- Venue
- Philosophical Issues
- Publisher
- Wiley
- Published
- 2008-09
- Volume
- 18
- Issue
- 1
- Pages
- 426-445
- ISSN
- 1533-6077 (ISSN-L)
- 1758-2237
- OpenAlex
- W2032456414
- Cited by
- 15
- References
- 12
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 2 · 2018: 2 · 2016: 1 · 2014: 1 · 2012: 1
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Philosophical Issues (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Qualitative Comparative Analysis Research
- Keywords
- interventionism, control variables, causality, causal models, counterfactuals, causal inference
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