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Record Nr. |
UNINA9910299661503321 |
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Titolo |
Heuristic Reasoning / / edited by Emiliano Ippoliti |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (194 p.) |
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Collana |
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Studies in Applied Philosophy, Epistemology and Rational Ethics, , 2192-6255 ; ; 16 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Philosophy and science |
Operations research |
Decision making |
Logic |
Knowledge, Theory of |
Computational Intelligence |
Philosophy of Science |
Operations Research/Decision Theory |
Epistemology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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How can we advance knowledge? Which methods do we need in order |
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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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