Induction, Algorithmic Learning Theory, and Philosophy

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, complement...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Friend, Michèle (Éditeur intellectuel), Goethe, Norma B. (Éditeur intellectuel), Harizanov, Valentina S. (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Dordrecht : Springer Netherlands : Imprint: Springer, 2007.
Édition:1st ed. 2007.
Collection:Logic, Epistemology, and the Unity of Science, 9
Sujets:
Knowledge, Theory of.
Mathematical logic.
Machine theory.
Science > Philosophy.
Algorithms.
Cognitive psychology.
Epistemology.
Mathematical Logic and Foundations.
Formal Languages and Automata Theory.
Philosophy of Science.
Cognitive Psychology.
Accès en ligne:Texto Completo
Description
Résumé: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.
Description matérielle:XIV, 290 p. online resource.
ISBN:9781402061271
ISSN:2214-9783 ;

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