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Titlebook: Algorithms and Complexity in Mathematics, Epistemology, and Science; Proceedings of 2015 Nicolas Fillion,Robert M. Corless,Ilias S. Kotsir

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期刊全稱Algorithms and Complexity in Mathematics, Epistemology, and Science
期刊簡(jiǎn)稱Proceedings of 2015
影響因子2023Nicolas Fillion,Robert M. Corless,Ilias S. Kotsire
視頻videohttp://file.papertrans.cn/154/153115/153115.mp4
發(fā)行地址Features important perspectives on computational discovery and computational epistemology, and presents them in an accessible way.Contains state of the art discussions by experts on a broad collection
學(xué)科分類Fields Institute Communications
圖書封面Titlebook: Algorithms and Complexity in Mathematics, Epistemology, and Science; Proceedings of 2015 Nicolas Fillion,Robert M. Corless,Ilias S. Kotsir
影響因子ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science. This volume includes a selection of papers presented at the 2015 and 2016 conferences held at Western University that provide an interdisciplinary outlook on modern applied mathematics that draws from theory and practice, and situates it in proper context. These papers come from leading mathematicians, computational scientists, and philosophers of science, and cover a broad collection of mathematical and philosophical topics, including numerical analysis and its underlying philosophy, computer algebra, reliability and uncertainty quantification, computation and complexity theory, combinatorics, error analysis, perturbation theory, experimental mathematics, scientific epistemology, and foundations of mathematics.?.By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers‘ understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in
Pindex Conference proceedings 2019
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Effective Validity: A Generalized Logic for Stable Approximate Inference,
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Counterfactuals in the Real World, In his investigations of causal reasoning within other parts of science, our first author (Woodward) has emphasized the conceptual importance of counterfactuals of this nature, for which he was been often criticized by authors of a self-styled “metaphysical” inclination. The purpose of this note is
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https://doi.org/10.1007/978-3-7091-9951-0of any kind as a source of evidence. Both are based on reason and something commonly call “intuition.” This is not all. Interestingly, mathematics and ethics both possess similar distinctions between pure and applied. I explore some of the similarities and draw methodological lessons from them. We c
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