Reliable Reasoning – Induction and Statistical Learning Theory (Jean Nicod Lectures)

Harman, Gilbert; Kulkami, Sanjeev

ISBN 10: 0262083604 / ISBN 13: 9780262083607

Editore: MIT Press, 2007

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Fine, hardcover copy in gray cloth in a near fine dustjacket. Contents are clean and free of any markings. Codice articolo 30077

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Titolo: Reliable Reasoning ? Induction and ...

Casa editrice: MIT Press

Data di pubblicazione: 2007

Legatura: Hardcover

Condizione: Fine

Condizione sovraccoperta: Near Fine

Edizione: 1st Edition

Descrizione articolo

Riassunto:

In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT.

After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Informazioni sugli autori:

Sanjeev Kulkarni is Professor of Electrical Engineering and an associated faculty member of the Department of Philosophy at Princeton University.

Gilbert Harman and Sanjeev Kulkarni are coauthors of An Elementary Introduction to Statistical Learning Theory. Harman is James S. McDonnell Distinguished University Professor of Philosophy at Princeton. Kulkarni is Professor of Electrical Engineering, an associated member of the Department of Philosophy, and Master of Butler College at Princeton University.