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

 
9789048175444: Induction, Algorithmic Learning Theory, and Philosophy: 9 (Logic, Epistemology, and the Unity of Science)
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ISBN 10: 9048175445 ISBN 13: 9789048175444
Editorial: Springer, 2010

Sinopsis

The idea of the present volume emerged in 2002 from a series of talks by Frank Stephan in 2002, and John Case in 2003, on developments of algorithmic learning theory. These talks took place in the Mathematics Department at the George Washington University. Following the talks, ValentinaHarizanovandMichèleFriendraised thepossibility ofanexchange of ideas concerning algorithmic learning theory. In particular, this was to be a mutually bene?cial exchange between philosophers, mathematicians and computer scientists. Harizanov and Friend sent out invitations for contributions and invited Norma Goethe to join the editing team. The Dilthey Fellowship of the George Washington University provided resources over the summer of 2003 to enable the editors and some of the contributors to meet in Oviedo (Spain) at the 12th International Congress of Logic, Methodology and Philosophy of Science. The editing work proceeded from there. The idea behind the volume is to rekindle interdisciplinary discussion. Algorithmic learning theory has been around for nearly half a century. The immediate beginnings can be traced back to E.M. Gold’s papers: “Limiting recursion” (1965) and “Language identi?cation in the limit” (1967). However, from a logical point of view, the deeper roots of the learni- theoretic analysis go back to Carnap’s work on inductive logic (1950, 1952).

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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
2010
Idioma
Inglés
ISBN 10 
9048175445
ISBN 13 
9789048175444
Encuadernación
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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

9781402061264: Induction, Algorithmic Learning Theory, and Philosophy: 9 (Logic, Epistemology, and the Unity of Science)

Edición Destacada

ISBN 10:  1402061269 ISBN 13:  9781402061264
Editorial: Springer, 2007
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