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Models and Inferences in Science: Studies in Applied Philosophy, Epistemology and Rational Ethics, cartea 25

Editat de Emiliano Ippoliti, Fabio Sterpetti, Tom Nickles
en Limba Engleză Hardback – 8 feb 2016
The book answers long-standing questions on scientific modeling andinference across multiple perspectives and disciplines, including logic,mathematics, physics and medicine. The different chapters cover a variety ofissues, such as the role models play in scientific practice; the way scienceshapes our concept of models; ways of modeling the pursuit of scientificknowledge; the relationship between our concept of models and our concept ofscience. The book also discusses models and scientific explanations; models inthe semantic view of theories; the applicability of mathematical models to thereal world and their effectiveness; the links between models and inferences;and models as a means for acquiring new knowledge. It analyzes differentexamples of models in physics, biology, mathematics and engineering. Writtenfor researchers and graduate students, it provides a cross-disciplinaryreference guide to the notion and the use of models and inferences in science.
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Specificații

ISBN-13: 9783319281629
ISBN-10: 3319281623
Pagini: 220
Ilustrații: VI, 253 p. 46 illus., 11 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.54 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Applied Philosophy, Epistemology and Rational Ethics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Modelling and Inferring in Science.- On ‘The Unreasonable Effectiveness of Mathematics inthe Natural Sciences’.- Fast and Frugal Heuristicsat Research Frontiers.- ScientificRealism, the Semantic View and Evolutionary Biology.- Models of the Skies.- Models of Scienceand Models in Science.- Mechanistic Models andModeling Disorders.- Chaos and Stochastic Models in Physics.- Ways of Advancing Knowledge. A Lesson from Knot Theoryand Topology.- Models, Idealisations, and Realist Commitments.- Modelling Non-EmpiricalConfirmation.- Mathematics as an Empirical Phenomenon, Subject toModeling.- Scientific Models Are Distributed and Never Abstract. ANaturalistic Perspective.- The Use of Models in Petroleum and Natural GasEngineering.

Textul de pe ultima copertă

The book answers long-standing questions on scientific modeling andinference across multiple perspectives and disciplines, including logic,mathematics, physics and medicine. The different chapters cover a variety ofissues, such as the role models play in scientific practice; the way scienceshapes our concept of models; ways of modeling the pursuit of scientificknowledge; the relationship between our concept of models and our concept ofscience. The book also discusses models and scientific explanations; models inthe semantic view of theories; the applicability of mathematical models to thereal world and their effectiveness; the links between models and inferences;and models as a means for acquiring new knowledge. It analyzes differentexamples of models in physics, biology, mathematics and engineering. Writtenfor researchers and graduate students, it provides a cross-disciplinaryreference guide to the notion and the use of models and inferences in science.

Caracteristici

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