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

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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 ...

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Description

Product ID:9780262039727
Product Form:Hardback
Country of Manufacture:GB
Series:The MIT Press
Title:Hume's Problem Solved
Subtitle:The Optimality of Meta-Induction
Authors:Author: Gerhard Schurz
Page Count:400
Subjects:Philosophy: epistemology and theory of knowledge, Philosophy: epistemology & theory of knowledge
Description:Select Guide Rating
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.


Imprint Name:MIT Press
Publisher Name:MIT Press Ltd
Country of Publication:GB
Publishing Date:2019-05-07