2007, ISBN: 9781402061271
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… Meer...
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2003, ISBN: 9781402061271
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 plac… Meer...
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2007, ISBN: 9781402061271
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hive.co.uk No. 9781402061271. Verzendingskosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., exclusief verzendingskosten Details... |
2007, ISBN: 9781402061271
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… Meer...
2003, ISBN: 9781402061271
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 plac… Meer...
2007
ISBN: 9781402061271
eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2007
2007, ISBN: 9781402061271
eBooks, eBook Download (PDF), 2007, [PU: Springer Netherland], Springer Netherland, 2007
ISBN: 9781402061271
; PDF; Politics, Philosphy & Religion > Philosophy > Philosophy: epistemology & theory of knowledge, Raintree UK
Bibliografische gegevens van het best passende boek
auteur: | |
Titel: | |
ISBN: |
Gedetalleerde informatie over het boek. - Induction, Algorithmic Learning Theory, and Philosophy
EAN (ISBN-13): 9781402061271
ISBN (ISBN-10): 1402061277
Verschijningsjaar: 2007
Uitgever: Springer-Verlag
290 Bladzijden
Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2009-10-25T08:59:48+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-07-28T18:48:23+02:00 (Amsterdam)
ISBN/EAN: 1402061277
ISBN - alternatieve schrijfwijzen:
1-4020-6127-7, 978-1-4020-6127-1
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: goethe, friend, valentina, llewellyn sam, kelly kevin, martin eric, norm
Gegevens van de uitgever
Auteur: Michèle Friend; Norma B. Goethe; Valentina S. Harizanov
Titel: Logic, Epistemology, and the Unity of Science; Induction, Algorithmic Learning Theory, and Philosophy
Uitgeverij: Springer; Springer Netherland
290 Bladzijden
Verschijningsjaar: 2007-08-21
Dordrecht; NL
Taal: Engels
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XIV, 290 p.
EA; E107; eBook; Nonbooks, PBS / Philosophie/Allgemeines, Lexika; Philosophie: Epistemologie und Erkenntnistheorie; Verstehen; Algorithm; Chomsky languages; Computer; Deduction; Epistemology; Formal learning theory; Induction; Philosophy of Science; algorithms; issue; learning; philosophy; science; statistics; truth; C; Epistemology; Mathematical Logic and Foundations; Formal Languages and Automata Theory; Philosophy of Science; Algorithms; Cognitive Psychology; Religion and Philosophy; Mathematik: Logik; Mathematische Grundlagen; Theoretische Informatik; Wissenschaftsphilosophie und -theorie; Algorithmen und Datenstrukturen; Kognitive Psychologie; BC
to the Philosophy and Mathematics of Algorithmic Learning Theory.- to the Philosophy and Mathematics of Algorithmic Learning Theory.- Technical Papers.- Inductive Inference Systems for Learning Classes of Algorithmically Generated Sets and Structures.- Deduction, Induction, and beyond in Parametric Logic.- How Simplicity Helps You Find the Truth without Pointing at it.- Induction over the Continuum.- Philosophy Papers.- Logically Reliable Inductive Inference.- Some Philosophical Concerns about the Confidence in ‘Confident Learning’.- How to Do Things with an Infinite Regress.- Trade-Offs.- Two Ways of Thinking about Induction.- Between History and Logic.Only book to combine philosophy essays with technical essays on algorithmic learning theory Invaluable for the reflective computer scientist or the mathematician/logician interested in modelling learning Deepens the argument and debate about mathematically modelling learning No-one with a serious interest in the philosophy of science can afford to ignore this development Refracts the classical problem of induction into a spectrum of new insights and questions
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9789048113712 Induction, Algorithmic Learning Theory, and Philosophy
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