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Books > Humanities > Philosophy > Topics in philosophy > Epistemology, theory of knowledge
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Hume's Problem Solved - The Optimality of Meta-Induction (Hardcover)
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Hume's Problem Solved - The Optimality of Meta-Induction (Hardcover)
Series: The MIT Press
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Total price: R1,497
Discovery Miles: 14 970
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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 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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