AI Multi-Agent Aircraft Decision Support System.

This paper presents a conceptual AI Multi-Agent Aircraft Decision Support System for collaborative aircraft system monitoring. The proposed architecture uses specialized AI agents to monitor aircraft subsystems and a Master AI Coordinator to combine their outputs into prioritized, explainable recommendations for pilots. The design aims to improve situational awareness and reduce pilot workload while remaining separate from certified flight-control systems. This work is a conceptual academic study only and has not been implemented, tested on real flight data, or certified.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21631408
Primary Topic
Air Traffic Management and Optimization
Type
preprint
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preprint

AI Multi-Agent Aircraft Decision Support System.

Sudha Ganesh
Zenodo (CERN European Organization for Nuclear Research)
Air Traffic Management and Optimization
preprint

AI Multi-Agent Aircraft Decision Support System.

Sudha Ganesh
preprint en

Abstract

This paper presents a conceptual AI Multi-Agent Aircraft Decision Support System for collaborative aircraft system monitoring. The proposed architecture uses specialized AI agents to monitor aircraft subsystems and a Master AI Coordinator to combine their outputs into prioritized, explainable recommendations for pilots. The design aims to improve situational awareness and reduce pilot workload while remaining separate from certified flight-control systems. This work is a conceptual academic study only and has not been implemented, tested on real flight data, or certified.

Zenodo (CERN European Organization for Nuclear Research)
Sri Venkateswara Veterinary University (IN)
Air Traffic Management and Optimization
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