Hume's Problem Solved: The Optimality of Meta-Induction
Language: English
Published by The MIT Press, Cambridge, MA, 2019
- First Edition
- Hardcover
- Used

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386 pp. Tightly bound. Corners not bumped. Text is free of markings. No ownership markings. Published without dust jacket. Small remainder mark (one dot) on bottom fore-dge. First Edition / First Printing. 10,9,8,7,6,5,4,3,2,1.
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- Title
- Hume's Problem Solved: The Optimality of Meta-Induction
- Author
- Schurz, Gerhard
- Publisher
- The MIT Press, Cambridge, MA
- Publication year
- 2019
- Condition
- Near Fine
- Dust jacket
- Published Without Dust Jacket
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0262039729
- ISBN 13
- 9780262039727
- Edition
- 1st Edition
- Printing
- 1st Printing
- Dimensions
- 8vo - over 7¾" - 9¾" tall
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.
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