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Reliable Reasoning: Induction and Statistical Learning Theory

Reliable Reasoning: Induction and Statistical Learning Theory

Paperback

Series: Jean Nicod Lectures

General PsychologyLogic

ISBN10: 0262517345
ISBN13: 9780262517348
Publisher: Bradford Book
Published: Jan 13 2012
Pages: 118
Weight: 0.59
Height: 0.35 Width: 5.20 Depth: 7.75
Language: English
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.

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Harman, Gilbert

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Logic