Large-Scale Structure of Inductive Inference

John D Norton

ISBN 10: 1773855409 / ISBN 13: 9781773855400

Published by University of Calgary Press, 2024

About this Item

Large-Scale Structure of Inductive Inference | John D Norton | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | University of Calgary Press | EAN 9781773855400 | Verantwortliche Person für die EU: Mare Nostrum Group B.V., Doelen 72, 4831 GR BREDA, NIEDERLANDE, gpsr[at]mare-nostrum[dot]co[dot]uk | Anbieter: preigu.

Seller Inventory # 128110672

Bibliographic Details

• Title: Large-Scale Structure of Inductive Inference
• Publisher: University of Calgary Press
• Publication Date: 2024
• Language: English
• ISBN 10: 1773855409
• ISBN 13: 9781773855400
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 29D millimeters 229 millimeters width by 152 millimeters height by 29 millimeters depth
• Weight: 961 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The Large-Scale Structure of Inductive Inference investigates the relations of inductive support on the large scale, among the totality of facts comprising a science or science in general. These relations form a massively entangled, non-hierarchical structure which is discovered by making hypotheses provisionally that are later supported by facts drawn from the entirety of the science. What results is a benignly circular, self-supporting inductive structure in which universal rules are not employed, the classical Humean problem cannot be formulated and analogous regress arguments fail.

The earlier volume, The Material Theory of Induction, proposed that individual inductive inferences are warranted not by universal rules but by facts particular to each context. This book now investigates how the totality of these inductive inferences interact in a mature science. Each fact that warrants an individual inductive inference is in turn supported inductively by other facts. Numerous case studies in the history of science support, and illustrate further, those claims. This is a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches to inductive inference.

With The Large-Scale Structure of Inductive Inference, author John D. Norton presents a novel, thoroughly researched, and sustained remedy to the enduring failures of formal approaches of inductive inference.

About the Author

John D. Norton is a distinguished professor of history and philosophy of science at the University of Pittsburgh. He works in history and philosophy of physics and general philosophy of science. He is co-founder of PhilSci-Archive, a preprint server in the philosophy of science,