Generalizations in Analogical Argument

This paper presents a generalization-centered framework for analyzing analogical arguments. By examining how analogical generalization is treated across various research paradigms, it highlights its role in modeling both similarity and relevance. Unlike deductive or inductive generalizations, analogical generalization is empirical, hypothetical, and context-sensitive, underscoring the sui generis nature of analogical arguments. Building on this foundation, the paper extends the classical scheme and introduces a set of critical questions anchored in generalization. A detailed case study illustrates the framework’s practical value in identifying argument structure, modeling context sensitivity, and assessing the cogency of analogical arguments.

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Publication Details

Journal
Informal Logic
Published
2025-12-21
DOI
https://doi.org/10.22329/il.v45i4.9675
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00

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article

Generalizations in Analogical Argument

Huaxin Huang, Wensheng Zhu
Informal Logic
Multi-Agent Systems and Negotiation
article

Generalizations in Analogical Argument

Huaxin Huang, Wensheng Zhu
article en

Abstract

This paper presents a generalization-centered framework for analyzing analogical arguments. By examining how analogical generalization is treated across various research paradigms, it highlights its role in modeling both similarity and relevance. Unlike deductive or inductive generalizations, analogical generalization is empirical, hypothetical, and context-sensitive, underscoring the sui generis nature of analogical arguments. Building on this foundation, the paper extends the classical scheme and introduces a set of critical questions anchored in generalization. A detailed case study illustrates the framework’s practical value in identifying argument structure, modeling context sensitivity, and assessing the cogency of analogical arguments.

Informal LogicVol. 45(4)
Weatherford College (US)
China Scholarship Council
Openalex Percentile: Top 19%
Multi-Agent Systems and Negotiation
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