Paul Grünke, M.A.
- Doktorand bis 2021
- ausgeschieden
- Forschungsgruppe „Philosophie der Technik, Technikfolgenabschätzung und Wissenschaft“
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Postfach 3640
76021 Karlsruhe
Publikationen
2023
Dissertationen
Grünke, P. D.
Computer-based methods of knowledge generation in science - What can the computer tell us about the world?. Dissertation
2023, Februar 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?. Dissertation
2023, Februar 7. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000155687
Zeitschriftenaufsätze
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
Zeitschriftenaufsätze
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
Proceedingsbeiträge
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
Vorträge
Grünke, P.; Schweer, J.; Hillerbrand, R.
Beyond Opacity - Epistemic Risks in Machine Learning
2021, April 8. Overcoming Opacity in Machine Learning (AISB 2021), Online, 6.–9. April 2021
Beyond Opacity - Epistemic Risks in Machine Learning
2021, April 8. Overcoming Opacity in Machine Learning (AISB 2021), Online, 6.–9. April 2021
2019
Zeitschriftenaufsätze
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
Vorträge
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, Niederlande, 19. Dezember 2019
How do we learn from Computer Simulations? Examining the Concept of Epistemic Power
2019. OZSW Graduate Conference in Theoretical Philosophy (2020), Tilburg, Niederlande, 19. Dezember 2019
2018
Vorträge
Grünke, P.
Epistemic status of simulations and the role of verification
2018. Models and Simulations 8 (2018), Columbia, SC, USA, 15.–17. März 2018
Epistemic status of simulations and the role of verification
2018. Models and Simulations 8 (2018), Columbia, SC, USA, 15.–17. März 2018
Grünke, P.
The epistemic status of experimental measurements involving computer simulations
2018. Measurement at the Crossroads : History, Philosophy and Sociology of Measurement (2018), Paris, Frankreich, 27.–29. Juni 2018
The epistemic status of experimental measurements involving computer simulations
2018. Measurement at the Crossroads : History, Philosophy and Sociology of Measurement (2018), Paris, Frankreich, 27.–29. Juni 2018
Roßmann, M.; Grünke, P.
Models, narratives and the assessment of knowledge
2018. OZSW Graduate Conference in Theoretical Philosophy (2018), Amsterdam, Niederlande, 9.–11. Januar 2018
Models, narratives and the assessment of knowledge
2018. OZSW Graduate Conference in Theoretical Philosophy (2018), Amsterdam, Niederlande, 9.–11. Januar 2018