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Models and inferences in science
~
Ippoliti, Emiliano.
Models and inferences in science
Record Type:
Electronic resources : Monograph/item
Title/Author:
Models and inferences in scienceedited by Emiliano Ippoliti, Fabio Sterpetti, Thomas Nickles.
other author:
Ippoliti, Emiliano.
Published:
Cham :Springer International Publishing :2016.
Description:
vi, 253 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
SciencePhilosophy.
Online resource:
http://dx.doi.org/10.1007/978-3-319-28163-6
ISBN:
9783319281636$q(electronic bk.)
Models and inferences in science
Models and inferences in science
[electronic resource] /edited by Emiliano Ippoliti, Fabio Sterpetti, Thomas Nickles. - Cham :Springer International Publishing :2016. - vi, 253 p. :ill., digital ;24 cm. - Studies in applied philosophy, epistemology and rational ethics,v.252192-6255 ;. - Studies in applied philosophy, epistemology and rational ethics ;4..
Modelling and Inferring in Science -- On 'The Unreasonable Effectiveness of Mathematics in the Natural Sciences' -- Fast and Frugal Heuristics at Research Frontiers -- Scientific Realism, the Semantic View and Evolutionary Biology -- Models of the Skies -- Models of Science and Models in Science -- Mechanistic Models and Modeling Disorders -- Chaos and Stochastic Models in Physics -- Ways of Advancing Knowledge. A Lesson from Knot Theory and Topology -- Models, Idealisations, and Realist Commitments -- Modelling Non-Empirical Confirmation -- Mathematics as an Empirical Phenomenon, Subject to Modeling -- Scientific Models Are Distributed and Never Abstract. A Naturalistic Perspective -- The Use of Models in Petroleum and Natural Gas Engineering.
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.
ISBN: 9783319281636$q(electronic bk.)
Standard No.: 10.1007/978-3-319-28163-6doiSubjects--Topical Terms:
179415
Science
--Philosophy.
LC Class. No.: Q175 / .M634 2016
Dewey Class. No.: 501
Models and inferences in science
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Modelling and Inferring in Science -- On 'The Unreasonable Effectiveness of Mathematics in the Natural Sciences' -- Fast and Frugal Heuristics at Research Frontiers -- Scientific Realism, the Semantic View and Evolutionary Biology -- Models of the Skies -- Models of Science and Models in Science -- Mechanistic Models and Modeling Disorders -- Chaos and Stochastic Models in Physics -- Ways of Advancing Knowledge. A Lesson from Knot Theory and Topology -- Models, Idealisations, and Realist Commitments -- Modelling Non-Empirical Confirmation -- Mathematics as an Empirical Phenomenon, Subject to Modeling -- Scientific Models Are Distributed and Never Abstract. A Naturalistic Perspective -- The Use of Models in Petroleum and Natural Gas Engineering.
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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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Religion and Philosophy (Springer-41175)
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http://dx.doi.org/10.1007/978-3-319-28163-6
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