Models and Inferences in Science

Models and Inferences in Science edited by Emiliano Ippoliti, Fabio Sterpetti, Tom Nickles.

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 shape...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ippoliti, Emiliano (Editor), Sterpetti, Fabio (Editor), Nickles, Tom (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Studies in Applied Philosophy, Epistemology and Rational Ethics, 25
Springer eBook Collection.
Subjects:
Philosophy and science.
Computational intelligence.
Mathematical logic.
Epistemology.
Mathematical physics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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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