# Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration

arXiv: https://arxiv.org/abs/2308.06411 · HTML: https://mlsanity.com/paper/2308.06411/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 32 references that are in the map.
- First posted on arXiv 11 Aug 2023.

## Builds on (most cited first, 6 of 6)

- [Multi-shot ASP solving with clingo](https://mlsanity.com/paper/1705.09811/) (2017)
- [Experimenting with robotic intra-logistics domains](https://mlsanity.com/paper/1804.10247/) (2018)
- [Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?](https://mlsanity.com/paper/2104.01193/) (2021)
- [Routing Driverless Transport Vehicles in Car Assembly with Answer Set Programming](https://mlsanity.com/paper/1804.10437/) (2018)
- [Agent 3, change your route: possible conversation between a human manager and UAM Air Traffic Management (UATM)](https://mlsanity.com/paper/2306.14216/) (2023)
- [We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination](https://mlsanity.com/paper/2307.03558/) (2023)

## Built on by (most cited first, 1 of 1)

- [Intent-Driven UAM Rescheduling](https://mlsanity.com/paper/2512.15462/) (2025)

## Abstract (arXiv)

This paper introduces a novel approach to detour management in Urban Air Traffic Management (UATM) using knowledge representation and reasoning. It aims to understand the complexities and requirements of UAM detours, enabling a method that quickly identifies safe and efficient routes in a carefully sampled environment. This method implemented in Answer Set Programming uses non-monotonic reasoning and a two-phase conversation between a human manager and the UATM system, considering factors like safety and potential impacts. The robustness and efficacy of the proposed method were validated through several queries from two simulation scenarios, contributing to the symbiosis of human knowledge and advanced AI techniques. The paper provides an introduction, citing relevant studies, problem formulation, solution, discussions, and concluding comments.