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.
Authors
- Sudha Ganesh (ORCID: https://orcid.org/0009-0002-9742-3976)
Institutions
- Sri Venkateswara Veterinary University (IN)
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