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Logical limits of abstract argumentation frameworks

机译:抽象论证框架的逻辑限制

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Dung's (1995) argumentation framework takes as input two abstract entities: a set of arguments and a binary relation encoding attacks between these arguments. It returns acceptable sets of arguments, called extensions, w.r.t. a given semantics. While the abstract nature of this setting is seen as a great advantage, it induces a big gap with the application that it is used to. This raises some questions about the compatibility of the setting with a logical formalism (i.e., whether it is possible to instantiate it properly from a logical knowledge base), and about the significance of the various semantics in the application context. In this paper we tackle the above questions. We first propose to fill in the previous gap by extending Dung's (1995) framework. The idea is to consider all the ingredients involved in an argumentation process. We start with the notion of an abstract monotonic logic which consists of a language (defining the formulas) and a consequence operator. We show how to build, in a systematic way, arguments from a knowledge base formalised in such a logic. We then recall some basic postulates that any instantiation should satisfy. We study how to choose an attack relation so that the instantiation satisfies the postulates. We show that symmetric attack relations are generally not suitable. However, we identify at least one 'appropriate' attack relation. Next, we investigate under stable, semi-stable, preferred, grounded and ideal semantics the outputs of logic-based instantiations that satisfy the postulates. For each semantics, we delimit the number of extensions an argumentation system may have, characterise the extensions in terms of subsets of the knowledge base, and finally characterise the set of conclusions that are drawn from the knowledge base. The study reveals that stable, semi-stable and preferred semantics either lead to counter-intuitive results or provide no added value w.r.t. naive semantics. Besides, naive semantics either leads to arbitrary results or generalises the coherence-based approach initially developed by Rescher and Manor (1970). Ideal and grounded semantics either coincide and generalise the free consequence relation developed by Benferhat, Dubois, and Prade (1997), or return arbitrary results. Consequently, Dung's (1995) framework seems problematic when applied over deductive logical formalisms.
机译:Dung(1995)的论证框架将两个抽象实体作为输入:一组参数和对这些参数之间的攻击进行编码的二进制关系。它返回可接受的参数集,称为扩展名。给定的语义。尽管此设置的抽象性质被认为是一个巨大的优势,但它与习惯的应用程序产生了很大的差距。这就提出了一些有关设置与逻辑形式主义的兼容性的问题(即是否有可能从逻辑知识库中正确实例化它),以及有关各种语义在应用程序上下文中的重要性的问题。在本文中,我们解决了以上问题。我们首先建议通过扩展Dung(1995)的框架来填补以前的空白。想法是考虑辩论过程中涉及的所有要素。我们从抽象单调逻辑的概念开始,该逻辑由一种语言(定义公式)和一个结果运算符组成。我们展示了如何以系统的方式从以这种逻辑形式化的知识库中构建论点。然后,我们回顾一些实例化应该满足的基本假设。我们研究如何选择攻击关系,以使实例化满足假设条件。我们证明了对称攻击关系通常是不合适的。但是,我们至少确定了一种“适当的”攻击关系。接下来,我们研究在稳定,半稳定,首选,基础和理想语义下满足假设的基于逻辑的实例化的输出。对于每种语义,我们确定一个论证系统可能具有的扩展数量,以知识库的子集来表征扩展,最后表征从知识库中得出的结论集。研究表明,稳定,半稳定和首选的语义要么导致违反直觉的结果,要么不提供附加价值。天真的语义。此外,幼稚的语义要么导致任意结果,要么概括了Rescher和Manor(1970)最初开发的基于一致性的方法。理想的和扎根的语义要么重合并概括由Benferhat,Dubois和Prade(1997)开发的自由结果关系,要么返回任意结果。因此,Dung(1995)的框架在应用于演绎逻辑形式主义时似乎有问题。

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