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Jan 11, 2025
The Large-Scale Structure of Inductive Inference
Summary
This book is free to download here.
Science depends essentially on inductive inferences – inferences that go beyond the evidence on which they are based. But inductive inferences have historically been modeled on deductive inferences, which are valid if and only if they satisfy a valid argument form.
In The Large-Scale Structure of Inductive Inference (BSPS Open/University of Calgary Press), John Norton expands his defense of what he calls the material theory of induction: what makes an induction good is not its conforming to a universal rule, like deduction, but instead by its being warranted by true background facts in a particular domain. Norton – Distinguished Professor of philosophy of science at the University of Pittsburgh -- argues that while these facts are themselves in turn supported by inductive inferences, the resulting network of inductive support does not suffer from vicious circularity, is not a form of coherentist epistemology, and dissolves the infamous problem of induction articulated most clearly by Hume.
Your Host
Carrie Figdor
Carrie Figdor is professor of philosophy at the University of Iowa.
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