Overview
- Suggests new frameworks for scientific discovery
- Presents both methods of discovery as well as procedures for obtaining and evaluating new knowledge
- Offers a new perspective on logic and methodologies of discovery, and discusses how these can support advancement of knowledge
- Edited and written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE, volume 16)
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Table of contents (8 chapters)
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Front Matter
Keywords
About this book
How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself?
The respective chapters in this book provide readers with answers to these questions. They focus on a set of issues that are essential to the development of types of reasoning for advancing knowledge, such as models for both revolutionary findings and paradigm shifts; ways of rationally addressing scientific disagreement, e.g. when a revolutionary discovery sparks considerable disagreement inside the scientific community; frameworks for both discovery and inference methods; and heuristics for economics and the social sciences.
Editors and Affiliations
Bibliographic Information
Book Title: Heuristic Reasoning
Editors: Emiliano Ippoliti
Series Title: Studies in Applied Philosophy, Epistemology and Rational Ethics
DOI: https://doi.org/10.1007/978-3-319-09159-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-09158-7Published: 19 September 2014
Softcover ISBN: 978-3-319-36222-9Published: 23 August 2016
eBook ISBN: 978-3-319-09159-4Published: 05 September 2014
Series ISSN: 2192-6255
Series E-ISSN: 2192-6263
Edition Number: 1
Number of Pages: V, 191
Number of Illustrations: 10 b/w illustrations, 1 illustrations in colour
Topics: Computational Intelligence, Philosophy of Science, Operations Research/Decision Theory, Logic, Epistemology