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Mathematics Induction, Algorithmic Learning Theory, and Philosophy (Logic, Epistemology, and the Unity of Science)

Posted on 2010-04-13




Name:Mathematics Induction, Algorithmic Learning Theory, and Philosophy (Logic, Epistemology, and the Unity of Science)
ASIN/ISBN:1402061269
Publisher:Springer (2007)
Language:English
Pages:Hardcover, 290 pages
File size:4.5 Mb
   Mathematics Induction, Algorithmic Learning Theory, and Philosophy (Logic, Epistemology, and the Unity of Science)


Author:


Publisher: Springer (2007)


Binding: Hardcover, 290 pages


pricer: $179.00


ISBN-10: 1402061269


editorialreviews

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.




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