Paul Grünke, M.A.
- Doctoral student
- Research group “Philosophy of Engineering, Technology Assessment, and Science”
- Room: 413
- Phone: +49 721 608-24278
- paul gruenke ∂does-not-exist.kit edu
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Postfach 3640
76021 Karlsruhe
Publications
2023
PhD Theses
Grünke, P. D.
Computer-based methods of knowledge generation in science - What can the computer tell us about the world?. PhD dissertation
2023, February 7. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000155687
Computer-based methods of knowledge generation in science - What can the computer tell us about the world?. PhD dissertation
2023, February 7. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000155687
Journal Articles
Boge, F. J. J.; Carretero-Sahuquillo, M.-Á.; Grünke, P.; King, M.
Introduction: Simplicity out of complexity? Physics and the aims of science
2023. Synthese, 201 (4), Art.-Nr.: 116. doi:10.1007/s11229-023-04126-1
Introduction: Simplicity out of complexity? Physics and the aims of science
2023. Synthese, 201 (4), Art.-Nr.: 116. doi:10.1007/s11229-023-04126-1
2022
Journal Articles
Boge, F. J.; Grünke, P.; Hillerbrand, R.
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?
2022. Minds and Machines, 32 (1), 1–9. doi:10.1007/s11023-022-09597-8
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?
2022. Minds and Machines, 32 (1), 1–9. doi:10.1007/s11023-022-09597-8
2021
Conference Papers
Schweer, J.; Grünke, P.; Hillerbrand, R.
Beyond Opacity - Epistemic Risks in Machine Learning
2021. AISB 2021 Symposium Proceedings: Overcoming Opacity in Machine Learning. Ed.: C. Zednik, 5–6
Beyond Opacity - Epistemic Risks in Machine Learning
2021. AISB 2021 Symposium Proceedings: Overcoming Opacity in Machine Learning. Ed.: C. Zednik, 5–6
Presentations
Grünke, P.; Schweer, J.; Hillerbrand, R.
Beyond Opacity - Epistemic Risks in Machine Learning
2021, April 8. Overcoming Opacity in Machine Learning (AISB 2021), Online, April 6–9, 2021
Beyond Opacity - Epistemic Risks in Machine Learning
2021, April 8. Overcoming Opacity in Machine Learning (AISB 2021), Online, April 6–9, 2021
2019
Journal Articles
Grünke, P.
Chess, Artificial Intelligence, and Epistemic Opacity
2019. Információs társadalom, 19 (4), 7 – 17. doi:10.22503/inftars.XIX.2019.4.1
Chess, Artificial Intelligence, and Epistemic Opacity
2019. Információs társadalom, 19 (4), 7 – 17. doi:10.22503/inftars.XIX.2019.4.1
Presentations
Schweer, J.; Grünke, P.
How do we learn from Computer Simulations? Examining the Concept of Epistemic Power
2019. OZSW Graduate Conference in Theoretical Philosophy (2020), Tilburg, Netherlands, December 19, 2019
How do we learn from Computer Simulations? Examining the Concept of Epistemic Power
2019. OZSW Graduate Conference in Theoretical Philosophy (2020), Tilburg, Netherlands, December 19, 2019
2018
Presentations
Grünke, P.
Epistemic status of simulations and the role of verification
2018. Models and Simulations 8, Columbia, SC, March 15-17, 2018
Epistemic status of simulations and the role of verification
2018. Models and Simulations 8, Columbia, SC, March 15-17, 2018
Grünke, P.
The epistemic status of experimental measurements involving computer simulations
2018. Measurement at the Crossroads : History, Philosophy and Sociology of Measurement, Paris, F, June 27-29, 2018
The epistemic status of experimental measurements involving computer simulations
2018. Measurement at the Crossroads : History, Philosophy and Sociology of Measurement, Paris, F, June 27-29, 2018
Roßmann, M.; Grünke, P.
Models, narratives and the assessment of knowledge
2018. OZSW Graduate Conference in Theoretical Philosophy, Amsterdam, NL, January 9-11, 2018
Models, narratives and the assessment of knowledge
2018. OZSW Graduate Conference in Theoretical Philosophy, Amsterdam, NL, January 9-11, 2018