The Large-Scale Structure of Inductive Inference

John D. Norton

ISBN 10: 1773855409 / ISBN 13: 9781773855400

Published by University of Calgary Press, CA, 2024

About this Item

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 provisional hypotheses that are later supported by other 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.Building upon and furthering The Material Theory of Induction, this book presents general claims and arguments for the large-scale relations of inductive support according to the material theory of induction, in which inductive inferences are not warranted by universal rules but by facts particular to each context. It begins with a thorough discussion of general claims and arguments for the large-scale structure of inductive relations, followed by case studies in the history of science that support, and further illustrate, those claims.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.

Seller Inventory # LU-9781773855400

Bibliographic Details

• Title: The Large-Scale Structure of Inductive Inference
• Publisher: University of Calgary Press, CA
• Publication Date: 2024
• Language: English
• ISBN 10: 1773855409
• ISBN 13: 9781773855400
• Binding: Paperback
• Condition: New

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,