Agent 3, change your route: possible conversation between a human manager and UAM Air Traffic Management (UATM)
Jeongseok Kim, Kangjin Kim

TL;DR
This paper presents a knowledge-based reasoning approach for UAM air traffic management, enabling agents to handle detouring requests through non-monotonic reasoning, aiming to guide real-world traffic system development.
Contribution
It introduces a novel knowledge representation and reasoning framework for agent-based traffic management responding to human detour requests.
Findings
Successful demonstration of reasoning steps for detouring scenarios
Framework verifies all possible connection routes
Potential to guide real traffic management system development
Abstract
This work in progress paper provides an example to show a detouring procedure through knowledge representation and reasoning. When a human manager requests a detouring, this should affect the related agents. Through non-monotonic reasoning process, we verify each step to be proceeded and provide all the successful connections of the reasoning. Following this progress and continuing this idea development, we expect that this simulated scenario can be a guideline to build the traffic management system in real. After a brief introduction including related works, we provide our problem formulation, primary work, discussion, and conclusions.
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Logic, Reasoning, and Knowledge · Semantic Web and Ontologies
