Philosophia Mathematica 27 (2):199-218 (2019)
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ABSTRACT This paper examines consequences of the computer revolution in mathematics. By comparing its repercussions with those of conceptual developments that unfolded in the nineteenth century, I argue that the key epistemological lesson to draw from the two transformative periods is that effective and successful mathematical practices in science result from integrating the computational and conceptual styles of mathematics, and not that one of the two styles of mathematical reasoning is superior. Finally, I show that the methodology deployed by applied mathematicians in modern scientific computing is a paradigmatic instance of this key lesson.
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DOI | 10.1093/philmat/nkz005 |
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References found in this work BETA
Progress and its Problems: Toward a Theory of Scientific Growth.Larry Laudan - 1977 - University of California Press.
Extending Ourselves: Computational Science, Empiricism, and Scientific Method.Paul Humphreys - 2004 - Oxford University Press.
The Philosophical Novelty of Computer Simulation Methods.Paul Humphreys - 2009 - Synthese 169 (3):615 - 626.
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Citations of this work BETA
A Small Step Towards Unification of Economics and Physics.Subhendu Bhattacharyya - 2021 - Mind and Society 20 (1):69-84.
Mathematical Problem-Solving in Scientific Practice.Davide Rizza - 2021 - Synthese 199 (5-6):13621-13641.
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