Induction, Algorithmic Learning Theory, and Philosophy: 9 - Rilegato

Rilegato

ISBN 10: 1402061269 ISBN 13: 9781402061264

Casa editrice: Springer Verlag, 2007

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Verlag
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 1402061269
• ISBN 13: 9781402061264
• Rilegatura: Copertina rigida
• Numero di pagine: 287
• Redattore: Friend Michele, Goethe Norma B., Harizanov Valentina S.
• Contatto del produttore: non disponibile
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