AIJul 30, 2025

Cross-Border Legal Adaptation of Autonomous Vehicle Design based on Logic and Non-monotonic Reasoning

arXiv:2507.22432v1h-index: 1ICAIL
Originality Synthesis-oriented
AI Analysis

This addresses legal adaptation challenges for autonomous vehicle designers in transnational contexts, but it is incremental as it builds on existing argumentation theory and logic frameworks.

The paper tackles the problem of ensuring legal compliance for autonomous vehicles across different countries by developing a logic-based reasoning system to assist designers in adapting vehicle designs to varying legal requirements, demonstrating its utility through case analysis of legal texts.

This paper focuses on the legal compliance challenges of autonomous vehicles in a transnational context. We choose the perspective of designers and try to provide supporting legal reasoning in the design process. Based on argumentation theory, we introduce a logic to represent the basic properties of argument-based practical (normative) reasoning, combined with partial order sets of natural numbers to express priority. Finally, through case analysis of legal texts, we show how the reasoning system we provide can help designers to adapt their design solutions more flexibly in the cross-border application of autonomous vehicles and to more easily understand the legal implications of their decisions.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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