Heuristic Reasoning / edited by Emiliano Ippoliti.
Contributor(s): Ippoliti, Emiliano., editor literario
Material type:
E-bookSeries: (Studies in Applied Philosophy, Epistemology and Rational Ethics,, 2192-6255 ;; 16); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (V, 191 páginas 11 ilustraciones, 1 ilustraciones a color.).ISBN: 9783319091594.Subject: Lógica
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias Sociales | BC177 .H487 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112423 |
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.
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.
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