Buch, Englisch, 800 Seiten, Format (B × H): 165 mm x 240 mm, Gewicht: 1790 g
Buch, Englisch, 800 Seiten, Format (B × H): 165 mm x 240 mm, Gewicht: 1790 g
ISBN: 978-0-444-52936-7
Verlag: Elsevier Science & Technology
Zielgruppe
Researchers and graduate students in all areas of logic: Historians of logic, cognitive psychologists, computer scientists, AI theorists, theorists of legal reasoning.
Fachgebiete
- Mathematik | Informatik Mathematik Mathematik Allgemein Geschichte der Mathematik
- Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Geschichte der Naturwissenschaften, Formalen Wissenschaften & Technik
- Mathematik | Informatik Mathematik Mathematik Allgemein Philosophie der Mathematik
- Geisteswissenschaften Philosophie Philosophie der Mathematik, Philosophie der Physik
- Geisteswissenschaften Philosophie Philosophische Logik, Argumentationstheorie
Weitere Infos & Material
Introduction (Dov Gabbay, Stephan Hartman and John Woods)
Induction before Hume (J. R. Milton)
Hume and the Problem of Induction (Marc Lange)
The Debate between Whewell and Mill on the Nature of Scientific Induction (Malcolm Forster)
An Explorer upon Untrodden Ground: Peirce on Abduction (Stathis Psillos)
The Modern Epistemic Interpretations of Probability: Logicism and Subjectivism (Maria Carla Galavotti)
Popper and Hypothetico-deductivism (Alan Musgrave)
Hempel and the Paradoxes of Confirmation (Jan Sprenger)
Carnap and the Logic of Induction (Sandy Zabell)
The Development of the Hintikka Program (Ilkka Niiniluoto)
Hans Reichenbach's Probability Logic (Frederick Eberhardt and Clark Glymour)
Goodman and the Demise of Syntactic and Semantics Models (Robert Schwartz)
Development of Subjective Bayesianism (James Joyce)
Varieties of Bayesianism (Jonathan Weisberg)
Inductive Logic and Empirical Psychology (Nick Chater, Mike Oaksford, Ulrike Hahn and Evan Heit)
Inductive Logic and Statistics (Jan-Willem Romeijn)
Statistical Learning Theory (Ulrike von Luxburg and Bernhard Schoelkopf)
Formal Learning Theory in Context (Daniel Osherson and Scott Weinstein)
Mechanizing Induction (Ronald Ortner and Hannes Leitgeb)
Index