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.
Les mer
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;
Les mer
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.
Les mer
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.
Les mer
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
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Produktdetaljer
ISBN
9783319802879
Publisert
2018-03-30
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet