Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic

Zhe Yu, Yiwei Lu
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Abstract

In our previous research, we provided a reasoning system (called LeSAC) based on argumentation theory to provide legal support to designers during the design process. Building on this, this paper explores how to provide designers with effective explanations for their legally relevant design decisions. We extend the previous system for providing explanations by specifying norms and the key legal or ethical principles for justifying actions in normative contexts. Considering that first-order logic has strong expressive power, in the current paper we adopt a first-order deontic logic system with deontic operators and preferences. We illustrate the advantages and necessity of introducing deontic logic and designing explanations under LeSAC by modelling two cases in the context of autonomous driving. In particular, this paper also discusses the requirements of the updated LeSAC to guarantee rationality, and proves that a well-defined LeSAC can satisfy the rationality postulate for rule-based argumentation frameworks. This ensures the system's ability to provide coherent, legally valid explanations for complex design decisions.
用论证理论与 Deontic Logic 解释非单调规范推理
在我们之前的研究中,我们提供了一个基于论证理论的推理系统(称为 LeSAC),在设计过程中为设计师提供法律支持。在此基础上,本文探讨了如何为设计者提供与法律相关的设计决策的有效解释。考虑到一阶逻辑具有很强的表达能力,本文采用了带有deontic操作符和偏好的一阶deontic逻辑系统。考虑到一阶逻辑具有很强的表达能力,我们在本文中采用了带有deontic算子和偏好的一阶deontic逻辑系统。我们通过模拟自动驾驶背景下的两个案例,说明了在LeSAC下引入deontic逻辑和设计解释的优势和必要性。本文还特别讨论了更新后的 LeSAC 在保证合理性方面的要求,并证明了定义明确的 LeSAC 可以满足基于规则的论证框架的合理性假设。这确保了该系统能够为复杂的设计决策提供连贯、合法的解释。
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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