{"title":"Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic","authors":"Zhe Yu, Yiwei Lu","doi":"arxiv-2409.11780","DOIUrl":null,"url":null,"abstract":"In our previous research, we provided a reasoning system (called LeSAC) based\non argumentation theory to provide legal support to designers during the design\nprocess. Building on this, this paper explores how to provide designers with\neffective explanations for their legally relevant design decisions. We extend\nthe previous system for providing explanations by specifying norms and the key\nlegal or ethical principles for justifying actions in normative contexts.\nConsidering that first-order logic has strong expressive power, in the current\npaper we adopt a first-order deontic logic system with deontic operators and\npreferences. We illustrate the advantages and necessity of introducing deontic\nlogic and designing explanations under LeSAC by modelling two cases in the\ncontext of autonomous driving. In particular, this paper also discusses the\nrequirements of the updated LeSAC to guarantee rationality, and proves that a\nwell-defined LeSAC can satisfy the rationality postulate for rule-based\nargumentation frameworks. This ensures the system's ability to provide\ncoherent, legally valid explanations for complex design decisions.","PeriodicalId":501479,"journal":{"name":"arXiv - CS - Artificial Intelligence","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.