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Models and inferences in science

Ippoliti, Emiliano.

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Models and inferences in science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Models and inferences in science/ edited by Emiliano Ippoliti, Fabio Sterpetti, Thomas Nickles.
其他作者:	Ippoliti, Emiliano.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	vi, 253 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Science - Philosophy. -
電子資源:	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 ;2..

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:

523660
Science
--Philosophy.

LC Class. No.: Q175 / .M634 2016

Dewey Class. No.: 501

Models and inferences in science
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520 $a 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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