Induction, Algorithmic Learning Theory, and Philosophy: 9 (Logic, Epistemology, and the Unity of Science) - Tapa dura

 
9781402061264: Induction, Algorithmic Learning Theory, and Philosophy: 9 (Logic, Epistemology, and the Unity of Science)
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ISBN 10: 1402061269 ISBN 13: 9781402061264
Editorial: Springer, 2007

Sinopsis

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.

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De la contraportada

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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Editorial
Springer
Año de publicación
2007
Idioma
Inglés
ISBN 10 
1402061269
ISBN 13 
9781402061264
Encuadernación
Tapa dura
Número de páginas
304
Editor
Friend Michèle, Goethe Norma B., Harizanov Valentina S.
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9789048175444: Induction, Algorithmic Learning Theory, and Philosophy: 9 (Logic, Epistemology, and the Unity of Science)

Edición Destacada

ISBN 10:  9048175445 ISBN 13:  9789048175444
Editorial: Springer, 2010
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