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Hume's problem solved : the optimality of meta-induction

Author: Gerhard Schurz; M.I.T. Press,
Publisher: Cambridge, Massachusetts : The MIT Press, Cambridge, Massachusetts : MIT Press, [2019] 2019. ©2019
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Schurz, Gerhard, 1956-
Hume's problem solved.
Cambridge, Massachusetts : MIT Press, 2019
Named Person: David Hume; David Hume
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Gerhard Schurz; M.I.T. Press,
ISBN: 9780262352444 0262352443
OCLC Number: 1119062506
Notes: Electronic book available via MIT CogNet platform.
Description: 1 online resource (x, 386 pages) : illustrations
Other Titles: MIT CogNet.
Responsibility: Gerhard Schurz.

Abstract:

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.

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