Simplifying Assumptions in Noncausal Explanations
DOI: https://doi.org/10.46938/tv.2024.615
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Anderson, Robert S. “A Theoretical Model for Aeolian Impact Ripples.” Sedimentology 34, no. 5 (1987): 943–56. https://doi.org/10.1111/J.1365-3091.1987.TB00814.X.
Bailer-Jones, Daniela. Scientific Models in Philosophy of Science. Pittsburgh: University of Pittsburgh Press, 2009.
Baker, Alan. “Are There Genuine Mathematical Explanations of Physical Phenomena?” Mind 114, no. 454 (2005): 223–38. https://doi.org/10.1093/MIND/FZI223.
Batterman, Robert W., and Collin C. Rice. “Minimal Model Explanations.” Philosophy of Science 81, no. 3 (2014): 349–76. https://doi.org/10.1086/676677.
Bokulich, Alisa. “How Scientific Models Can Explain.” Synthese 180, no. 1 (2011): 33–45. https://doi.org/10.1007/s11229-009-9565-1.
Bokulich, Alisa. “Searching for Non-Causal Explanations in a Sea of Causes.” In Explanation Beyond Causation, edited by Alexander Reutlinger and Juha Saatsi, 141–63. Oxford: Oxford University Press, 2018.
Boone, Worth, and Gualtiero Piccinini. “Mechanistic Abstraction.” Philosophy of Science 83, no. 5 (2016): 686–97. https://doi.org/10.1086/687855.
Brannan, David. A First Course in Mathematical Analysis. Cambridge: Cambridge University Press, 2006.
Cartwright, Nancy. Nature’s Capacities and Their Measurement. Oxford: Oxford University Press, 1989.
Chirimuuta, M. “Minimal Models and Canonical Neural Computations: The Distinctness of Computational Explanation in Neuroscience.” Synthese 191, no. 2 2014): 127–53. https://doi.org/10.1007/s11229-013-0369-y.
Colyvan, Mark. “Can the Eleatic Principle Be Justified?” Canadian Journal of Philosophy 28, no. 3 (1998): 313–35. https://doi.org/10.1080/00455091.1998.10715975.
Colyvan, Mark. “Mathematical Recreation versus Mathematical Knowledge.” In Mathematical Knowledge, edited by Mary Leng, Alexander Pasneau, and Michael Potter, 109–22. Oxford: Oxford University Press, 2007.
Colyvan, Mark. The Indispensability of Mathematics. New York: Oxford University Press, 2001.
Friedman, Michael. “Explanation and Scientific Understanding.” The Journal of Philosophy 71, no. 1 (1974): 5–19. https://doi.org/10.2307/2024924.
Frigg, Roman, and Stephan Hartmann. “Models in Science.” Edited by Edward N. Zalta. The Stanford Encyclopedia of Philosophy (Spring 2020 Edition), 2020. https://plato.stanford.edu/archives/sum2018/entries/models-science/.
Frigg, Roman, and James Nguyen. “Models and Representation.” In Springer Handbook of Model-Based Science, edited by Lorenzo Magnani and Tommaso Bertolotti, 49–102. Dordrecht: Springer, 2017. https://doi.org/10.1007/978-3-319-30526-4_3.
Gelfert, Axel. How to Do Science with Models. SpringerBriefs in Philosophy. Dordrecht: Springer, 2016. https://doi.org/10.1007/978-3-319-27954-1.
Giere, Ronald N. Explaining Science. University of Chicago Press, 1988. https://doi.org/10.7208/chicago/9780226292038.001.0001.
Glennan, Stuart. The New Mechanical Philosophy. Oxford: Oxford University Press, 2017.
Godfrey-Smith, Peter. “Abstractions, Idealizations, and Evolutionary Biology.” In Mapping the Future of Biology, edited by Anouk. Barberousse, Michel. Morange, and Thomas. Pradeu, 47–56. Dordrecht: Springer Netherlands, 2009. https://doi.org/10.1007/978-1-4020-9636-5_4.
Goles, Eric, Oliver Schulz, and Mario Markus. “Prime Number Selection of Cycles in a Predator-Prey Model.” Complexity 6, no. 4 (2001): 33–38. https://doi.org/10.1002/CPLX.1040.
Halas, Juraj. “Abstrakcia a idealizácia vo filozofii vedy I.” Filozofia 70, no. 7 (2015): 546–59.
Halas, Juraj. “Abstrakcia a idealizácia vo filozofii vedy II.” Filozofia 70, no. 8 (2015): 633–46.
Halina, Marta. “Mechanistic Explanation and Its Limits.” In The Routledge Handbook of Mechanisms and Mechanical Philosophy, edited by Stuart Glennan and Phyllis Illari, 213–24. New York: Routledge, 2018. https://doi.org/10.4324/9781315731544-16.
Havlík, Vladimír. Hierarchická Emergentní Ontologie a Univerzální Princip Emergence. Praha: Filosofia, 2021.
Hempel, Carl G. Aspects of Scientific Explanation and Other Essays in the Philosophy of Science. New York: The Free Press, 1965.
Hempel, Carl G., and Paul Oppenheim. “Studies in the Logic of Explanation.” Philosophy of Science 15, no. 2 (1948): 135–75. https://doi.org/10.2307/185169.
Huneman, Philippe. “Topological Explanations and Robustness in Biological Sciences.” Synthese 177, no. 2 (2010): 213–45. https://doi.org/10.1007/S11229-010-9842-Z/METRICS.
Jansson, Lina, and Juha Saatsi. “Explanatory Abstractions.” The British Journal for the Philosophy of Science 70, no. 3 (2019): 817–44. https://doi.org/10.1093/BJPS/AXX016.
Jebeile, Julie. “Idealizations in Empirical Modeling.” In Mathematics as a Tool:Tracing New Roles of Mathematics in the Sciences, edited by Johannes Lenhard and Martin Carrier, 213–32. Dordrecht: Springer, 2017.
Jones, Martin R. “Idealization and Abstraction: A Framework.” In Idealization XII: Correcting the Model, edited by Martin R. Jones and Nancy Cartwright, 173–217. Amsterdam: Rodopi, 2005.
Jones, Nicholaos. “Strategies of Explanatory Abstraction in Molecular Systems Biology.” Philosophy of Science 85, no. 5 (2018): 955–68. https://doi.org/10.1086/699742.
Kellert, Stephen. In the Wake of Chaos: Unpredictable Order in Dynamical Systems. Chicago: Chicago University Press, 1993.
Kempf, Eugen Karl. Wind Ripples Occurring in Southwest Afghanistan (Sistan). 1969. Publikováno pod licencí CC BY-SA 3.0. https://commons.wikimedia.org/wiki/File:1969_Afghanistan_(Sistan)_wind_ripples.tiff.
Kitcher, Philip. “Explanatory Unification.” Philosophy of Science 48, no. 4 (1981): 507–31. https://doi.org/10.1086/289019.
Kostić, Daniel. “General Theory of Topological Explanations and Explanatory Asymmetry.” Philosophical Transactions of the Royal Society B 375, no. 1796 (2020). https://doi.org/10.1098/RSTB.2019.0321.
Kostić, Daniel. “Mechanistic and Topological Explanations: An Introduction.” Synthese 195, no. 1 (2018): 1–10. https://doi.org/10.1007/S11229-016-1257-Z/METRICS.
Lange, Marc. “Asymmetry as a Challenge to Counterfactual Accounts of Non-Causal Explanation.” Synthese 198, no. 4 (2021): 3893–3918. https://doi.org/10.1007/S11229-019-02317-3/FIGURES/2.
Lange, Marc. Because Without Cause: Non-Causal Explanations in Science and Mathematics. Oxford: Oxford University Press, 2017.
Lange, Marc. “Because Without Cause: Scientific Explanations by Constraint.” In Explanation Beyond Causation, edited by Alexander Reutlinger and Juha Saatsi, 15–38. Oxford: Oxford University Press, 2018.
Levy, Arnon. “Idealization and Abstraction: Refining the Distinction.” Synthese 198, no. 24 (2021): 5855–72. https://doi.org/10.1007/S11229-018-1721-Z/METRICS.
Levy, Arnon. “Three Kinds of New Mechanism.” Biology & Philosophy 28, no. 1 (2013): 99–114. https://doi.org/10.1007/s10539-012-9337-z.
Levy, Arnon, and William Bechtel. “Abstraction and the Organization of Mechanisms.” Philosophy of Science 80, no. 2 (2013): 241–61. https://doi.org/10.1086/670300.
Love, Alan C., and Marco J. Nathan. “The Idealization of Causation in Mechanistic Explanation.” Philosophy of Science 82, no. 5 (2015): 761–74. https://doi.org/10.1086/683263.
Machamer, Peter, Lindley Darden, and Carl F. Craver. “Thinking about Mechanisms.” Philosophy of Science 67, no. 1 (2000): 1–25. https://doi.org/10.1086/392759.
Mäki, Uskali. “MISSing the World. Models as Isolations and Credible Surrogate Systems.” Erkenntnis 70, no. 1 (2009): 29–43. https://doi.org/10.1007/s10670-008-9135-9.
Mäki, Uskali. “On the Method of Isolation in Economics.” In Idealization IV: Intelligibility in Science, edited by Craig Dilworth, 319–54. Amsterdam: Rodopi, 1992.
Makovník, Dalibor. “Hempelove štandardné príklady na nekauzálnu explanáciu vo svetle skowowej teórie kauzálnej explanácie.” Filozofia 77, no. 5 (2022): 311–24. https://doi.org/10.31577/FILOZOFIA.2022.77.5.1.
Makovník, Dalibor. “Non-Causal Explanation: Hempel’s Legacy and Its Modern Versions.” Filozofia 76, no. 10 (2021): 752–65. https://doi.org/10.31577/FILOZOFIA.2021.76.10.2.
Maziarz, Mariusz, and Martin Zach. “Assessing the Quality of Evidence from Epidemiological Agent-Based Models for the COVID-19 Pandemic.” History and Philosophy of the Life Sciences 43, no. 1 (2021): 10. https://doi.org/10.1007/s40656-020-00357-4.
Morgan, Mary S., and Margaret Morrison, eds. Models as Mediators: Perspectives on Natural and Social Science. Cambridge: Cambridge University Press, 1999.
Morrison, Margaret. “Modelling Nature: Between Physics and the Physical World.” Philosophia Naturalis 35, no. 1 (1998): 65–85.
Morrison, Margaret. Reconstructing Reality: Models, Mathematics, and Simulations. Oxford: Oxford University Press, 2015.
Pincock, Christopher. “A Role for Mathematics in the Physical Sciences.” Noûs 41, no. 2 (2007): 253–75. https://doi.org/10.1111/J.1468-0068.2007.00646.X.
Pincock, Christopher. “Abstract Explanations in Science.” The British Journal for the Philosophy of Science 66, no. 4 (2015): 857–82. https://doi.org/10.1093/BJPS/AXU016.
Portides, Demetris. “Idealization and Abstraction in Scientific Modeling.” Synthese 198, no. 24 (2021): 5873–95. https://doi.org/10.1007/S11229-018-01919-7/METRICS.
Potochnik, Angela. Idealization and the Aims of Science. Chicago: University of Chicago Press, 2017.
Psillos, Stathis. “Living with the Abstract: Realism and Models.” Synthese 180, no. 1 (2011): 3–17. https://doi.org/10.1007/s11229-009-9563-3.
Reutlinger, Alexander. “Extending the Counterfactual Theory of Explanation.” In Explanation Beyond Causation, edited by Alexander Reutlinger and Juha Saatsi, 74–95. Oxford: Oxford University Press, 2018.
Reutlinger, Alexander, and Holly Andersen. “Abstract versus Causal Explanations?” International Studies in the Philosophy of Science 30, no. 2 (2016): 129–46. https://doi.org/10.1080/02698595.2016.1265867.
Reutlinger, Alexander, and Juha Saatsi, eds. Explanation Beyond Causation. Oxford: Oxford University Press, 2018.
Rice, Collin C. “Moving Beyond Causes: Optimality Models and Scientific Explanation.” Noûs 49, no. 3 (2015): 589–615. https://doi.org/10.1111/nous.12042.
Salmon, Wesley. Causality and Explanation. Oxford: Oxford University Press, 1998.
Skow, Bradford. “Are There Non-Causal Explanations (of Particular Events)?” The British Journal for the Philosophy of Science 65, no. 3 (2014): 445–67. https://doi.org/10.1093/BJPS/AXS047.
Smith, Peter. Explaining Chaos. Cambridge: Cambridge University Press, 1998.
Teller, Paul. “Twilight of the Perfect Model Model.” Erkenntnis 55, no. 3 (2001): 393–415. https://doi.org/10.2307/20013097.
Thomson-Jones, Martin. “Missing Systems and the Face Value Practice.” Synthese 172, no. 2 (2010): 283–99. https://doi.org/10.1007/s11229-009-9507-y.
Toon, Adam. Models as Make-Believe. London: Palgrave Macmillan, 2012. https://doi.org/10.1057/9781137292230.
Weisberg, Michael. Simulation and Similarity. Oxford: Oxford University Press, 2013. https://doi.org/10.1093/acprof:oso/9780199933662.001.0001.
Werner, B. T., and G. Kocurek. “Bedform Spacing from Defect Dynamics.” Geology 27, no. 8 (1999): 727–30. https://doi.org/10.1130/0091-7613(1999)027<0727:BSFDD>2.3.CO;2.
Woodward, James. Making Things Happen: A Theory of Causal Explanation. Oxford: Oxford University Press, 2003.
Yoshimura, Jin. “The Evolutionary Origins of Periodical Cicadas During Ice Ages.” The American Naturalist 149, no. 1 (1997): 112–24. https://doi.org/10.1086/285981.
Zach, Martin. “Revisiting Abstraction and Idealization: How Not to Criticize Mechanistic Explanation in Molecular Biology.” European Journal for Philosophy of Science 12, no. 1 (2022): 1–20. https://doi.org/10.1007/S13194-022-00453-1.
Zámečník, Lukáš. “Towards a Universal Account of Asymmetry in Non-Causal.” Filozofia 76, no. 6 (2021): 407–22. https://doi.org/10.31577/FILOZOFIA.2021.76.6.2.
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