Epistemic Foundation for Scientific Realism

Epistemic Foundation for Scientific Realism

AngličtinaPevná vazbaTisk na objednávku
Wright John
Springer, Berlin
EAN: 9783030022174
Tisk na objednávku
Předpokládané dodání v pondělí, 24. června 2024
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Podrobné informace

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.

EAN 9783030022174
ISBN 303002217X
Typ produktu Pevná vazba
Vydavatel Springer, Berlin
Datum vydání 14. listopadu 2018
Stránky 220
Jazyk English
Rozměry 235 x 155
Země Switzerland
Sekce Professional & Scholarly
Autoři Wright John
Ilustrace VIII, 220 p. 16 illus.
Edice 1st ed. 2018
Série Synthese Library