Defining defense and defeat in abstract argumentation from scratch – A generalizing approach

IF 4.7 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Artificial Intelligence Pub Date : 2026-03-01 Epub Date: 2025-12-05 DOI:10.1016/j.artint.2025.104456
Lydia Blümel , Markus Ulbricht
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引用次数: 0

Abstract

We propose a general framework to investigate semantics of Dung-style argumentation frameworks (AFs) by means of a generic defeat notion formalized by refute operators.The main idea underlying our approach is that, given a refute operator δ, counter-parts to all classical semantics can be deduced in a natural way. We demonstrate how classical as well as recent proposals can be captured by our approach when utilizing suitable refute operators. In addition, we showcase how our general scheme can be employed to propose novel semantics in a systematic manner. This results in what we call cooperative semantics which stem from a novel refute operator we will introduce. We perform an in-depth investigation of basic properties of refute operators and to which extent the induced semantics inherit desirable properties from it. Among others, we show under which conditions i) a counterpart to Dung’s fundamental lemma can be inferred, ii) the generalized version of the grounded extension is unique, or iii) the generalized version of stable semantics does not collapse. Moreover, we contribute to a principle-based study of AF semantics by discussing properties tailored to assess the behavior of different refute operators. This includes an investigation of means to compare refute operators in terms of their aggressiveness. Finally, we conclude the study by reporting computational complexity results for basic reasoning tasks which hold in our general framework.
在抽象论证中从零开始定义辩护和失败——一种一般化的方法
我们提出了一个通用框架,通过一个由驳斥算子形式化的通用失败概念来研究Dung-style论证框架(AFs)的语义。我们方法的主要思想是,给定一个反驳算子δ,所有经典语义的对应部分都可以以自然的方式推导出来。我们演示了在使用合适的反驳操作符时,如何通过我们的方法捕获经典和最近的建议。此外,我们展示了如何使用我们的一般方案以系统的方式提出新的语义。这导致了我们所说的合作语义,它源于我们将介绍的一个新的驳斥算子。我们对反驳算子的基本性质进行了深入的研究,并在多大程度上从它继承了诱导语义的理想性质。其中,我们证明了在哪些条件下i) Dung的基本引理的对立物可以被推断,ii)基于扩展的广义版本是唯一的,或iii)稳定语义的广义版本不坍缩。此外,我们通过讨论为评估不同驳斥算子的行为而量身定制的属性,为基于原则的AF语义研究做出了贡献。这包括一项调查的手段,比较反驳运营商在其侵略性方面。最后,我们通过报告在我们的一般框架中持有的基本推理任务的计算复杂性结果来总结研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artificial Intelligence
Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
11.20
自引率
1.40%
发文量
118
审稿时长
8 months
期刊介绍: The Journal of Artificial Intelligence (AIJ) welcomes papers covering a broad spectrum of AI topics, including cognition, automated reasoning, computer vision, machine learning, and more. Papers should demonstrate advancements in AI and propose innovative approaches to AI problems. Additionally, the journal accepts papers describing AI applications, focusing on how new methods enhance performance rather than reiterating conventional approaches. In addition to regular papers, AIJ also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and summary papers on AI challenges and competitions.
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