Overview
- Offers a coherent, multidisciplinary overview of the use and construction of models and inferences in various scientific fields
- Compares the concepts of models and science, and the concepts of models and inferences
- Provides readers with the necessary tools to deal with the emergence of new models and research methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE, volume 25)
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About this book
The book answers long-standing questions on scientific modeling and inference across multiple perspectives and disciplines, including logic, mathematics, physics and medicine. The different chapters cover a variety of issues, such as the role models play in scientific practice; the way science shapes our concept of models; ways of modeling the pursuit of scientific knowledge; the relationship between our concept of models and our concept of science. The book also discusses models and scientific explanations; models in the semantic view of theories; the applicability of mathematical models to the real world and their effectiveness; the links between models and inferences; and models as a means for acquiring new knowledge. It analyzes different examples of models in physics, biology, mathematics and engineering. Written for researchers and graduate students, it provides a cross-disciplinary reference guide to the notion and the use of models and inferences in science.
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Keywords
Table of contents (14 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Models and Inferences in Science
Editors: Emiliano Ippoliti, Fabio Sterpetti, Thomas Nickles
Series Title: Studies in Applied Philosophy, Epistemology and Rational Ethics
DOI: https://doi.org/10.1007/978-3-319-28163-6
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28162-9Published: 08 February 2016
Softcover ISBN: 978-3-319-80287-9Published: 30 March 2018
eBook ISBN: 978-3-319-28163-6Published: 27 January 2016
Series ISSN: 2192-6255
Series E-ISSN: 2192-6263
Edition Number: 1
Number of Pages: VI, 253
Number of Illustrations: 35 b/w illustrations, 11 illustrations in colour
Topics: Philosophy of Science, Computational Intelligence, Mathematical Logic and Foundations, Epistemology, Theoretical, Mathematical and Computational Physics