A comprehensive account of the burden of persuasion in abstract argumentation

IF 0.7 4区数学 Q3 COMPUTER SCIENCE, THEORY & METHODS

Journal of Logic and Computation Pub Date : 2023-01-01 DOI:10.1093/logcom/exac094

Timotheus Kampik;Dov Gabbay;Giovanni Sartor

引用次数: 0

Abstract

In this paper, we provide a formal framework for modeling the burden of persuasion in legal reasoning. The framework is based on abstract argumentation, a frequently studied method of non-monotonic reasoning, and can be applied to different argumentation semantics; it supports burdens of persuasion with arbitrary many levels, and allows for the placement of a burden of persuasion on any subset of an argumentation framework's arguments. Our framework can be considered an extension of related works that raise questions on how burdens of persuasion should be handled in some conflict scenarios that can be modeled with abstract argumentation. An open source software implementation of the introduced formal notions is available as an extension of an argumentation reasoning library. A theoretical analysis shows that our approach can be generalized to a novel method for the preference-based selection of extensions from argumentation frameworks.

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对抽象论证中说服负担的全面论述

在本文中，我们为法律推理中的说服负担建模提供了一个形式化框架。该框架基于非单调推理中常用的抽象论证方法，可应用于不同的论证语义;它支持具有任意多个级别的说服负担，并允许将说服负担放置在论证框架的论据的任何子集上。我们的框架可以被认为是相关工作的延伸，这些工作提出了在一些可以用抽象论证建模的冲突场景中如何处理说服负担的问题。引入的形式化概念的开源软件实现可以作为论证推理库的扩展。理论分析表明，我们的方法可以推广到一种基于偏好的论证框架扩展选择的新方法。

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

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

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.