Heuristic reasoning /

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Bibliographic Details
Imprint:Cham ; New York : Springer, [2015]
Description:1 online resource.
Language:English
Series:Studies in applied philosophy, epistemology and rational ethics ; volume 16
Studies in applied philosophy, epistemology and rational ethics ; v. 16.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11087542
Hidden Bibliographic Details
Other authors / contributors:Ippoliti, Emiliano, editor.
ISBN:9783319091594
331909159X
3319091581
9783319091587
9783319091587
Notes:Includes bibliographical references.
Online resource; title from PDF title page (Ebsco, viewed September 10, 2014).
Summary: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.
Other form:Printed edition: 9783319091587
Standard no.:10.1007/978-3-319-09159-4
Table of Contents:
  • Reasoning at the frontier of knowledge: Introductory essay
  • Why should the logic of discovery be revived? A reappraisal
  • Are Heuristics Knowledge-Enhancing?Abduction, Models, and Fictions in Science
  • Heuristic Appraisal at the Frontier of Research
  • Why do Scientific Revolutions begin?
  • Withstanding Tensions: Scientific Disagreement and Epistemic Tolerance
  • Heuristics as Methods: Validity, Reliability and Velocity
  • Dynamic generation of hypotheses: Mandelbrot, Soros and Far-From-Equilibrium.