Hume's problem solved : the optimality of meta-induction / Gerhard Schurz.
2019
B1499.I65 S38 2019
Linked e-resources
Linked Resource
Online Access through The MIT Press Direct
Details
Title
Hume's problem solved : the optimality of meta-induction / Gerhard Schurz.
ISBN
9780262352444 (electronic bk.)
0262352443 (electronic bk.)
9780262039727
0262352443 (electronic bk.)
9780262039727
Published
Cambridge : MIT Press, 2019.
Language
English
Description
1 online resource (320 pages).
Call Number
B1499.I65 S38 2019
Dewey Decimal Classification
161
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 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.
Access Note
Access limited to authorized users.
Source of Description
OCLC-licensed vendor bibliographic record.
Record Appears in
Online Resources > Ebooks
All Resources
All Resources