- Heuristics and Human Judgment: What We Can Learn About Scientific Discovery from the Study of Engineering Design.Mark Thomas Young - 2020 - Topoi 39 (4):987-995.details
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Bayesianism and language change.Jon Williamson - 2003 - Journal of Logic, Language and Information 12 (1):53-97.details
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Abduction, reason, and science: Processes of discovery and explanation.Jon Williamson - 2003 - British Journal for the Philosophy of Science 54 (2):353-358.details
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A dynamic interaction between machine learning and the philosophy of science.Jon Williamson - 2004 - Minds and Machines 14 (4):539-549.details
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What Can Artificial Intelligence Do for Scientific Realism?Petr Spelda & Vit Stritecky - 2020 - Axiomathes 31 (1):85-104.details
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Judging machines: philosophical aspects of deep learning.Arno Schubbach - 2019 - Synthese 198 (2):1807-1827.details
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Empirical evidence claims are a priori.Darrell Patrick Rowbottom - 2013 - Synthese 190 (14):2821-2834.details
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The Causal Nature of Modeling with Big Data.Wolfgang Pietsch - 2016 - Philosophy and Technology 29 (2):137-171.details
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Choosing from competing theories in computerised learning.Abraham Meidan & Boris Levin - 2002 - Minds and Machines 12 (1):119-129.details
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The explanatory and heuristic power of mathematics.Marianna Antonutti Marfori, Sorin Bangu & Emiliano Ippoliti - 2023 - Synthese 201 (5):1-12.details
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The frame problem: An AI fairy tale. [REVIEW]Kevin B. Korb - 1998 - Minds and Machines 8 (3):317-351.details
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Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis‐driven science in the post‐genomic era.Douglas B. Kell & Stephen G. Oliver - 2004 - Bioessays 26 (1):99-105.details
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Discovery without a ‘logic’ would be a miracle.Benjamin C. Jantzen - 2016 - Synthese 193 (10).details
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Scientific Discovery Reloaded.Emiliano Ippoliti - 2020 - Topoi 39 (4):847-856.details
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From Intelligence to Rationality of Minds and Machines in Contemporary Society: The Sciences of Design and the Role of Information.Wenceslao J. Gonzalez - 2017 - Minds and Machines 27 (3):397-424.details
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Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science.Piotr Giza - 2021 - Philosophy Compass 17 (1):e12802.details
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Popper and computer induction.Donald A. Gillies - 2001 - Bioessays 23 (9):859-860.details
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Logics in scientific discovery.Atocha Aliseda - 2004 - Foundations of Science 9 (3):339-363.details
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A.I., Scientific discovery and realism.Mario Alai - 2004 - Minds and Machines 14 (1):21-42.details
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The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.details
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Problem-solving and the problem of induction.Donald Gillies - 2009 - In Zuzana Parusniková & R. S. Cohen (eds.), Rethinking Popper. Springer. pp. 103--115.details
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The Moral Underpinnings of Popper's Philosophy.Noretta Koertge - 2009 - In Zuzana Parusniková & R. S. Cohen (eds.), Rethinking Popper. Springer. pp. 323--338.details
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