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

Zhe Yu, Yiwei Lu
9/18/2024
cs.AI

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{yu2024explaining,
  title  = {Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic},
  author = {Zhe Yu and Yiwei Lu},
  year   = {2024},
  eprint = {2409.11780},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.11780v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2409.11780.svg)](https://codeofpaper.com/paper/2409.11780)

Discussion