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Induction, Algorithmic Learning Theory, and Philosophy

Language EnglishEnglish
Book Hardback
Book Induction, Algorithmic Learning Theory, and Philosophy Mich
Libristo code: 01417289
Publishers Springer-Verlag New York Inc., August 2007
This is the first book to collect essays from philosophers, mathematicians and computer scientists w... Full description
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175.23 €
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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.

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About the book

Full name Induction, Algorithmic Learning Theory, and Philosophy
Author Mich, Norma B. Goethe, Valentina S. Harizanov
Language English
Binding Book - Hardback
Date of issue 2007
Number of pages 290
EAN 9781402061264
ISBN 1402061269
Libristo code 01417289
Publishers Springer-Verlag New York Inc.
Weight 1330
Dimensions 155 x 235 x 30

Categories

Mathematics & Science > Mathematics > Mathematical foundations > Mathematical logic
Mathematics & Science > Mathematics > Calculus & mathematical analysis > Numerical analysis
Philosophy & Religion > Philosophy > Topics in philosophy > Philosophy: epistemology & theory of knowledge
Society & Social Sciences > Psychology > Cognition & cognitive psychology
Mathematics & Science > Science: general issues > Philosophy of science
Mathematics & Science > Science: general issues > Impact of science & technology on society
Computing & Information Technology > Computer science > Mathematical theory of computation
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