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Hume's Problem Solved: The Optimality of Meta-Induction

(Hardback)


Publishing Details

Full Title:

Hume's Problem Solved: The Optimality of Meta-Induction

Contributors:

By (Author) Gerhard Schurz

ISBN:

9780262039727

Publisher:

MIT Press Ltd

Imprint:

MIT Press

Publication Date:

7th May 2019

Country:

United States

Classifications

Readership:

Professional and Scholarly

Fiction/Non-fiction:

Non Fiction

Dewey:

161

Physical Properties

Physical Format:

Hardback

Number of Pages:

400

Dimensions:

Width 152mm, Height 229mm, Spine 27mm

Description

A new approach to Hume's problem of induction that justifies the optimality of induction at the level of meta-induction.Hume's problem of justifying induction has been among epistemology's greatest challenges for centuries. In this book, Gerhard Schurz proposes a new approach to Hume's problem. Acknowledging the force of Hume's arguments against the possibility of a noncircular justification of the reliability of induction, Schurz demonstrates instead the possibility of a noncircular justification of the optimality of induction, or, more precisely, of meta-induction (the application of induction to competing prediction models). Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem. Schurz discusses the philosophical debate on the problem of induction, addressing all major attempts at a solution to Hume's problem and describing their shortcomings; presents a series of theorems, accompanied by a description of computer simulations illustrating the content of these theorems (with proofs presented in a mathematical appendix); and defends, refines, and applies core insights regarding the optimality of meta-induction, explaining applications in neighboring disciplines including forecasting sciences, cognitive science, social epistemology, and generalized evolution theory. Finally, Schurz generalizes the method of optimality-based justification to a new strategy of justification in epistemology, arguing that optimality justifications can avoid the problems of justificatory circularity and regress.

Author Bio

Gerhard Schurz is Director of the D sseldorf Center for Logic and Philosophy of Science at Heinrich Heine University D sseldorf.

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