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International Studies in the Philosophy of Science Volume 31, 2017 - Issue 1
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Articles

Varying the Explanatory Span: Scientific Explanation for Computer Simulations

Juan M. DuránHigh-Performance Computing Center, University of StuttgartCorrespondence[email protected]
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Pages 27-45 | Published online: 14 Nov 2017

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Inkeri Koskinen. We Have No Satisfactory Social Epistemology of AI-Based Science. Social Epistemology 0:0, pages 1-18.
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Articles from other publishers (11)

Julie Schweer & Marcus Elstner. (2023) Dealing with Molecular Complexity. Atomistic Computer Simulations and Scientific Explanation. Perspectives on Science 31:5, pages 594-626.
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Juan M. Durán. (2023) The Non-theory-driven Character of Computer Simulations and Their Role as Exploratory Strategies. Minds and Machines 33:3, pages 487-505.
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Andreas Tolk, Ernest H. Page, Valdemar Vicente Graciano Neto, Paul Weirich, Nico Formanek, Juan Manuel Durán, Jean François Santucci & Saurabh Mittal. 2023. Body of Knowledge for Modeling and Simulation. Body of Knowledge for Modeling and Simulation 383 412 .
Florian J. Boge. (2021) Two Dimensions of Opacity and the Deep Learning Predicament. Minds and Machines 32:1, pages 43-75.
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Juan Manuel Durán. 2022. Philosophy of Computing. Philosophy of Computing 221 249 .
Atoosa Kasirzadeh. (2022) A New Role for Mathematics in Empirical Sciences. Philosophy of Science 88:4, pages 686-706.
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Juan M. Durán. (2021) Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare. Artificial Intelligence 297, pages 103498.
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Philipp Frey. (2021) Visions of Automation: A Comparative Discussion of Two Approaches. Societies 11:2, pages 63.
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Juan M. Durán. (2019) A Formal Framework for Computer Simulations: Surveying the Historical Record and Finding Their Philosophical Roots. Philosophy & Technology 34:1, pages 105-127.
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Juan M. Durán. (2020) Calculating surprises: a review for a philosophy of computer simulations. Metascience 29:2, pages 337-340.
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Juan M. Durán & Nico Formanek. (2018) Grounds for Trust: Essential Epistemic Opacity and Computational Reliabilism. Minds and Machines 28:4, pages 645-666.
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