John D. Norton
The Material Theory of Induction
The Material Theory of Induction
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The traditional approach to inductive inference seeks universally applicable schemas or rules, but none have been successful. The Material Theory of Induction argues that each domain has an inductive logic native to it, determined by the facts prevailing in that domain. It will initiate a new tradition in the analysis of inductive inference.
Format: Hardback
Length: 544 pages
Publication date: 20 December 2021
Publisher: University of Calgary Press
The fundamental task of a theory of inductive inference lies in identifying the valid inductive inferences or relations of inductive support and understanding the reasons behind their significance. The traditional approach, inspired by deductive inference, aims to find universally applicable schemas, rules, or formal devices, such as the probability calculus. However, after centuries of relentless efforts, none of these approaches has achieved unequivocal success, and ongoing debates between them persist.
The Material Theory of Induction offers a fresh perspective by challenging the assumption that a single formal account can adequately capture inductive inference across all domains. Instead, it proposes that each domain possesses its own inductive logic, unique to its specific characteristics and shaped by the prevailing facts within that domain. By delving into the intricate details of how inductive inference is practiced in science and providing numerous illustrative examples drawn from real-world scenarios, The Material Theory of Induction aims to establish a new tradition in the analysis of inductive inference.
This theory emphasizes the importance of recognizing the diversity of inductive processes and the need to tailor our understanding of inductive inference to the specific contexts in which it occurs. It rejects the notion of a universal formal account and instead advocates for a pluralistic approach, where different domains employ their distinct inductive logics to make sense of their respective data. By embracing this perspective, we can gain a deeper appreciation of the complexities and nuances of inductive reasoning and develop more effective methods for analyzing and evaluating evidence across various fields.
Dimension: 229 x 152 (mm)
ISBN-13: 9781773852751
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