Using n-ary multi-modal logics in argumentation frameworks to reason about ethics

IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Christopher Leturc, Grégory Bonnet
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引用次数: 0

Abstract

Autonomous behaviors may raise ethical issues that agents must consider in their reasoning. Some approaches use deontic logics, while others consider a value-based argumentation framework. However, no work combines both modal logic and argumentation to reason about ethics. Hence, we propose a new argumentation framework where arguments are built from a n-ary multi-modal logic. It allows to express different kinds of operators, e.g. nullary choice or moral worth operators, dyadic deontic operators or mental states. However the standard attacks based on logical contradictions are no longer sufficient to catch an intuitive meaning for attacks. Hence, we enrich standard attacks by characterizing how oppositions between modal operators arise. Furthermore we show the standard logic-based attacks have a quasi-symmetry property, i.e. when an argument attacks another, this argument is necessarily attacked by another one. Our modal attacks do not have this property, which is highly relevant to decide a dilemma.
在论证框架中使用 nary 多模态逻辑进行伦理推理
自主行为可能会引发伦理问题,代理人在推理时必须加以考虑。一些方法使用了deontic 逻辑,而另一些方法则考虑了基于价值的论证框架。然而,目前还没有研究将模态逻辑和论证结合起来进行伦理推理。因此,我们提出了一个新的论证框架,在这个框架中,论据由 nary 多模态逻辑构建。它允许表达不同类型的运算符,例如空值选择或道德价值运算符、二元deontic运算符或心理状态。然而,基于逻辑矛盾的标准攻击已不足以为攻击提供直观的意义。因此,我们通过描述模态算子之间的对立是如何产生的来丰富标准攻击。此外,我们还证明了基于逻辑的标准攻击具有准对称性,即当一个论证攻击另一个论证时,这个论证必然会受到另一个论证的攻击。而我们的模态攻击不具备这一特性,而这一点对于破解两难问题非常重要。
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来源期刊
AI Communications
AI Communications 工程技术-计算机:人工智能
CiteScore
2.30
自引率
12.50%
发文量
34
审稿时长
4.5 months
期刊介绍: AI Communications is a journal on artificial intelligence (AI) which has a close relationship to EurAI (European Association for Artificial Intelligence, formerly ECCAI). It covers the whole AI community: Scientific institutions as well as commercial and industrial companies. AI Communications aims to enhance contacts and information exchange between AI researchers and developers, and to provide supranational information to those concerned with AI and advanced information processing. AI Communications publishes refereed articles concerning scientific and technical AI procedures, provided they are of sufficient interest to a large readership of both scientific and practical background. In addition it contains high-level background material, both at the technical level as well as the level of opinions, policies and news.
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