arXiv cs.AI· Carlo Proietti, Antonio Yuste-Ginel·· 12 小时前AI 评分18
结构化论证框架在规则与前提不确定时的表达力研究
Expressivity Results for Structured Argumentation Frameworks with Uncertain Rules and Premises
AI 导读
研究将论证的不确定性根植于结构化模型中的规则与前提,提出一种适用于抽象与结构化形式化的比较表达力概念:若一种形式化能生成与另一种相同的抽象论证框架集合,则其表达力至少不弱于后者。作者针对不完整抽象论证框架及其依赖扩展,与 ASPIC+、基于假设的论证(ABA)和演绎论证等结构化模型,给出了表达力比较的正面与负面结果。
正文 · 原文
Abstract:Modelling qualitative uncertainty in formal argumentation is essential both for practical applications and theoretical understanding. Yet, most existing work focuses on abstract models of argumentation under uncertainty. Following a recent trend in the literature, we tackle the open question of studying plausible instantiations of these abstract models. To do so, we root the uncertainty of arguments in their components in structured models: rules and premises. Our main conceptual contribution is to provide an intuitive notion of comparative expressivity suitable for both abstract and structured formalisms. Roughly, one formalism for arguing with qualitative uncertainty is at least as expressive as another if the former can generate the same set of abstract argumentation frameworks (completions) as the latter. On the technical side, we prove negative and positive results comparing the expressivity of abstract and structured models of argumentation with uncertainty. These results concern incomplete abstract argumentation frameworks and their extension with dependencies on the abstract side, and ASPIC$^+$, assumption-based argumentation (ABA) and deductive argumentation on the structured side.
| Subjects: | Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO) |
| MSC classes: | 03B60 |
| Cite as: | arXiv:2510.18631 [cs.AI] |
| (or arXiv:2510.18631v3 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2510.18631 arXiv-issued DOI via DataCite |
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| Journal reference: | Journal of Artificial Intelligence Research 87, Article 15 (October 2026) |
| Related DOI: | https://doi.org/10.1613/jair.1.21969
DOI(s) linking to related resources |
Submission history
From: Antonio Yuste-Ginel [view email]
[v1]
Tue, 21 Oct 2025 13:36:38 UTC (73 KB)
[v2]
Tue, 17 Feb 2026 15:58:03 UTC (72 KB)
[v3]
Fri, 23 Oct 2026 12:43:43 UTC (123 KB)
来源:arXiv cs.AI · arxiv.org