Models and Inferences in Science (eBook, PDF)

Redaktion: Ippoliti, Emiliano; Nickles, Tom; Sterpetti, Fabio

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 253
• Erscheinungstermin: 27. Januar 2016
• Englisch
• ISBN-13: 9783319281636
• Artikelnr.: 44613233

Inhaltsangabe

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.