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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An epistemic foundation for scientific realism/ by John Wright.
其他題名:	defending realism without inference to the best explanation /
作者:	Wright, John.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	viii, 220 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Science - Methodology. -
電子資源:	https://doi.org/10.1007/978-3-030-02218-1
ISBN:	9783030022181

An epistemic foundation for scientific realism = defending realism without inference to the best explanation /
Wright, John.

An epistemic foundation for scientific realismdefending realism without inference to the best explanation /[electronic resource] :by John Wright. - Cham :Springer International Publishing :2018. - viii, 220 p. :ill., digital ;24 cm. - Synthese library, studies in epistemology, logic, methodology, and philosophy of science ;v.402. - Synthese library, studies in epistemology, logic, methodology, and philosophy of science ;v.357..

Chapter 1. Introduction: Realism and Reason -- Chapter 2. The Skeptical Arguments Against Realism- 1: Inductive Skepticism -- Chapter 3. The Skeptical Arguments - 2: The Pessimistic Meta-Induction -- Chapter 4. Realism and Inference to the Best Explanation -- Chapter 5. On the Inference to Unobservables -- Chapter 6. Underdetermination and Theory Preference -- Chapter 7. Eddington Inferences in Science - 1: Atoms and Molecules -- Chapter 8. Eddington Inferences in Science - 2: The Size and Shape of the Universe -- Bibliography.

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.

ISBN: 9783030022181

Standard No.: 10.1007/978-3-030-02218-1doiSubjects--Topical Terms:

570430
Science
--Methodology.

LC Class. No.: Q175.32.R42 / W754 2018

Dewey Class. No.: 501

An epistemic foundation for scientific realism = defending realism without inference to the best explanation /
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520 $a 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.
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