An epistemic foundation for scientific realism : defending realism without inference to the best explanation

Author(s)

    • Wright, John

Bibliographic Information

An epistemic foundation for scientific realism : defending realism without inference to the best explanation

John Wright

(Synthese library, v. 402)

Springer, c2018

Available at  / 6 libraries

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Note

Bibliography: p. [217]-220

Description and Table of Contents

Description

This monograph develops a new way of justifying the claims made by science about phenomenon not directly observable by humans, such as atoms and black holes. It details a way of making inferences to the existence and properties of unobservable entities and states of affairs that can be given a probabilistic justification. The inferences used to establish realist claims are not a form of, and neither do they rely on, inference to the best explanation. Scientific Realism maintains that scientific theories and hypotheses refer to real entities, forces, and relations, even if one cannot examine them. But, there are those who doubt these claims. The author develops a novel way of defending Scientific Realism against a range of influential attacks. He argues that in some cases, at least, we can make probabilistically justifiable inferences from observed data to claims about unobservable, theoretical entities. He shows how this enables us to place some scientific realist claims on a firmer epistemological footing than has previously been the case. This also makes it possible to give a unified set of replies to the most common objections to Scientific Realism. The final chapters apply the developed conceptual apparatus to key cases from the history of science and from recent science. One example concerns realism with respect to atoms. Another looks at inferences from recent astronomical data to conclusions about the size and shape of those parts of the universe lying beyond that which we can observe.

Table of Contents

Chapter 1. Introduction: Realism and ReasonChapter 2. The Skeptical Arguments Against Realism- 1: Inductive SkepticismChapter 3. The Skeptical Arguments - 2: The Pessimistic Meta-InductionChapter 4. Realism and Inference to the Best ExplanationChapter 5. On the Inference to UnobservablesChapter 6. Underdetermination and Theory PreferenceChapter 7. Eddington Inferences in Science - 1: Atoms and MoleculesChapter 8. Eddington Inferences in Science - 2: The Size and Shape of the UniverseBibliography

by "Nielsen BookData"

Related Books: 1-1 of 1

  • Synthese library

    D. Reidel , Distributed in the U.S.A. and Canada by Kluwer Boston

    Available at 2 libraries

Details

  • NCID
    BB27374115
  • ISBN
    • 9783030022174
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham
  • Pages/Volumes
    viii, 220 p.
  • Size
    25 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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