论文标题
基于力量论证的可接受性:复杂性和算法(带有证据的扩展版本)
Admissibility in Strength-based Argumentation: Complexity and Algorithms (Extended Version with Proofs)
论文作者
论文摘要
最近,已经提出了基于力量的论证框架(Strafs),以模拟与参数相关的一些定量强度的情况。在这种情况下,应计的概念对应于集体攻击参数的一组参数。已经定义了一些语义,这些语义对集体击败目标的应计的存在敏感,而他们的各个要素则不能。但是,到目前为止,仅研究了该框架和语义的表面。实际上,现有文献重点是将稳定语义对Strafs的适应。在本文中,我们推进研究并研究基于可接受性的语义的适应。尤其是,我们表明,文献中定义的强大可接受性并不能满足理想的财产,即粪便的基本引理。因此,我们提出了一种替代定义,该定义诱发了表现为预期的语义。然后,我们研究了这些新语义的计算问题,特别是我们表明,推理的复杂性与几乎所有情况下标准论证框架的相应决策问题的复杂性相似。然后,我们提出了用于计算(强和弱)扩展的伪树树限制的翻译。我们对我们的方法进行了实验评估的结论,该评估特别表明它可以很好地扩展到解决一个扩展以及列举所有内容的问题。
Recently, Strength-based Argumentation Frameworks (StrAFs) have been proposed to model situations where some quantitative strength is associated with arguments. In this setting, the notion of accrual corresponds to sets of arguments that collectively attack an argument. Some semantics have already been defined, which are sensitive to the existence of accruals that collectively defeat their target, while their individual elements cannot. However, until now, only the surface of this framework and semantics have been studied. Indeed, the existing literature focuses on the adaptation of the stable semantics to StrAFs. In this paper, we push forward the study and investigate the adaptation of admissibility-based semantics. Especially, we show that the strong admissibility defined in the literature does not satisfy a desirable property, namely Dung's fundamental lemma. We therefore propose an alternative definition that induces semantics that behave as expected. We then study computational issues for these new semantics, in particular we show that complexity of reasoning is similar to the complexity of the corresponding decision problems for standard argumentation frameworks in almost all cases. We then propose a translation in pseudo-Boolean constraints for computing (strong and weak) extensions. We conclude with an experimental evaluation of our approach which shows in particular that it scales up well for solving the problem of providing one extension as well as enumerating them all.