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2017 | OriginalPaper | Chapter

11. Qualitative Inductive Generalization and Confirmation

Author : Mathieu Beirlaen

Published in: Springer Handbook of Model-Based Science

Publisher: Springer International Publishing

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Abstract

Inductive generalization is a defeasible type of inference which we use to reason from the particular to the universal. First, a number of systems are presented that provide different ways of implementing this inference pattern within first-order logic. These systems are defined within the adaptive logics framework for modeling defeasible reasoning. Next, the logics are re-interpreted as criteria of confirmation. It is argued that they withstand the comparison with two qualitative theories of confirmation, Hempel’s satisfaction criterion and hypothetico-deductive confirmation.

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previous chapter The Logic of Abduction: An Introduction

next chapter Modeling Hypothetical Reasoning by Formal Logics

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Title: Qualitative Inductive Generalization and Confirmation
Author: Mathieu Beirlaen
Publisher: Springer International Publishing
Book: Springer Handbook of Model-Based Science
Print ISBN: 978-3-319-30525-7

Electronic ISBN: 978-3-319-30526-4

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-30526-4_11

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