Reliable Reasoning - Induction and Statistical Learning Theory (Paperback)

The implications for philosophy and cognitive science of developments in statistical learning theory. 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.

General

Imprint:	Bradford Books
Country of origin:	United States
Series:	Jean Nicod Lectures
Release date:	2012
First published:	2007
Authors:	Gilbert Harman • Sanjeev Kulkarni (Professor)
Dimensions:	203 x 137 x 6mm (L x W x T)
Format:	Paperback - Trade
Pages:	120
ISBN-13:	978-0-262-51734-8
Categories:	Books > Humanities > Philosophy > Topics in philosophy > Philosophy of mind Books > Social sciences > Psychology > Cognition & cognitive psychology > Intelligence Books > Philosophy > Topics in philosophy > Philosophy of mind Promotions
LSN:	0-262-51734-5
Barcode:	9780262517348

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!