Meheus | Inconsistency in Science | E-Book | sack.de
E-Book

E-Book, Englisch, Band 2, 223 Seiten, eBook

Reihe: Origins: Studies in the Sources of Scientific Creativity

Meheus Inconsistency in Science


2002
ISBN: 978-94-017-0085-6
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2, 223 Seiten, eBook

Reihe: Origins: Studies in the Sources of Scientific Creativity

ISBN: 978-94-017-0085-6
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark



For centuries, inconsistencies were seen as a hindrance to good reasoning, and their role in the sciences was ignored. In recent years, however, logicians as well as philosophers and historians have showed a growing interest in the matter. Central to this change were the advent of paraconsistent logics, the shift in attention from finished theories to construction processes, and the recognition that most scientific theories were at some point either internally inconsistent or incompatible with other accepted findings. The new interest gave rise to important questions. How is `logical anarchy' avoided? Is it ever rational to accept an inconsistent theory? In what sense, if any, can inconsistent theories be considered as true?
The present collection of papers is the first to deal with this kind of questions. It contains case studies as well as philosophical analyses, and presents an excellent overview of the different approaches in the domain.
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Research


Autoren/Hrsg.


Weitere Infos & Material


From Copernicus to Ptolemy: Inconsistency and Method.- Inconsistent Reasoning toward Consistent Theories.- Inconsistencies in the History of Mathematics.- Mathematical Change and Inconsistency.- Approximate Truth.- Inconsistency in Science: A Partial Perspective.- Inconsistency and the Empirical Sciences.- In Defence of a Programme for Handling Inconsistencies.- How to Reason Sensibly yet Naturally from Inconsistencies.- Why the Logic of Explanation is Inconsistency-adaptive.- A Paradox in Newtonian Gravitation Theory II.- Inconsistency, Generic Modeling, and Conceptual Change in Science.



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