抽象论证中的水壶逻辑

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Timotheus Kampik
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引用次数: 0

摘要

Kettle逻辑是一个口语术语,描述代理人为了推翻特定的主张而提出不一致的论点。直观地说,高级论点的一致子集应该存在,它至少与不一致论点集的推进一样成功地反驳了这一主张。在本文中,我们形式化了这种直觉,并对抽象论证中的水壶逻辑进行了形式化分析,这是计算论证的一种基本方法,表明所有分析的抽象论证语义(推理函数)——除了朴素语义,它被认为只是构建其他语义的简单助手——受到水壶逻辑的影响。我们还提供了一种在某些情况下减轻水壶逻辑的方法。本文中提出的关键发现强调,应用抽象论证的推理功能的主体与人类一样,能够接受故意提出不一致且直观上“不合逻辑”的主张的主体的说服。由于抽象论证可以被认为是计算论证的最基本模型之一,这就提出了一个问题,即在什么程度和什么情况下,无逻辑论证可以并且应该通过计算手段来实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kettle logic in abstract argumentation
Kettle logic is a colloquial term that describes an agent’s advancement of inconsistent arguments in order to defeat a particular claim. Intuitively, a consistent subset of the advanced arguments should exist that is at least as successful at refuting the claim as the advancement of the set of inconsistent arguments. In this paper, we formalize this intuition and provide a formal analysis of kettle logic in abstract argumentation, a fundamental approach to computational argumentation, showing that all of the analysed abstract argumentation semantics (inference functions)—with the exception of naive semantics, which is considered a mere simplistic helper for the construction of other semantics—suffer from kettle logic. We also provide an approach to mitigating kettle logic under some circumstances. The key findings presented in this paper highlight that agents that apply the inference functions of abstract argumentation, are—similarly to humans—receptive to persuasion by agents who deliberately advance inconsistent and intuitively ‘illogical’ claims. As abstract argumentation can be considered one of the most basic models of computational argumentation, this raises the question to what extent and under what circumstances kettle logic-free argumentation can and should be enforced by computational means.
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来源期刊
Journal of Logic and Computation
Journal of Logic and Computation 工程技术-计算机:理论方法
CiteScore
1.90
自引率
14.30%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Logic has found application in virtually all aspects of Information Technology, from software engineering and hardware to programming and artificial intelligence. Indeed, logic, artificial intelligence and theoretical computing are influencing each other to the extent that a new interdisciplinary area of Logic and Computation is emerging. The Journal of Logic and Computation aims to promote the growth of logic and computing, including, among others, the following areas of interest: Logical Systems, such as classical and non-classical logic, constructive logic, categorical logic, modal logic, type theory, feasible maths.... Logical issues in logic programming, knowledge-based systems and automated reasoning; logical issues in knowledge representation, such as non-monotonic reasoning and systems of knowledge and belief; logics and semantics of programming; specification and verification of programs and systems; applications of logic in hardware and VLSI, natural language, concurrent computation, planning, and databases. The bulk of the content is technical scientific papers, although letters, reviews, and discussions, as well as relevant conference reviews, are included.
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