Induction, Algorithmic Learning Theory, and Philosophy / Logic, Epistemology, and the Unity of Science Bd.9 (PDF)
This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays...
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This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.
Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy of science. The volume is vital reading for students and researchers seeking a fresh, truth-directed approach to the philosophy of science and induction, epistemology, logic, and statistics.
- 2007, 2007, 290 Seiten, Englisch
- Herausgegeben: Michèle Friend, Norma B. Goethe, Valentina S. Harizanov
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1402061277
- ISBN-13: 9781402061271
- Erscheinungsdatum: 21.08.2007
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 5.47 MB
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