Conference
Enhancing flight deck decision support with distributed GenAI : a multi-agent approach
| Τίτλος: | Enhancing flight deck decision support with distributed GenAI : a multi-agent approach |
|---|---|
| Συγγραφείς: | Pacheco De Almeida Prado, Jose, Zammit Mangion, David, Zammit, Brian, Gauci, Jason, Muscat, Alan, Mizzi, Sandro, Manicolo, Andre, IEEE Aerospace Conference |
| Στοιχεία εκδότη: | Institute of Electrical and Electronics Engineers |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | University of Malta: OAR@UM / L-Università ta' Malta |
| Θεματικοί όροι: | Natural language processing (Computer science), Human-computer interaction, Human computation, Artificial intelligence -- Computer programs, Intelligent agents (Computer software), Aeronautics -- Computer programs |
| Περιγραφή: | The integration of Generative Artificial Intelligence (GenAI) into commercial aviation presents transformative opportunities for enhancing flight deck operations, offering an intuitive natural language interface between pilots and automation. This study investigates a novel GenAI-based multi-agent architecture designed to address the unique demands of aviation, such as the need for rapid decision-making and adherence to stringent safety protocols. By employing lightweight, embedded Large Language Models (LLMs), the architecture optimises task allocation among specialised agents, ensuring operational efficiency without reliance on external cloud infrastructure. Preliminary evaluations demonstrate that the proposed architecture achieves performance comparable to systems using larger models, such as GPT-4, while operating locally with lightweight models. This result underscores the feasibility of implementing autonomous, cloud-independent GenAI solutions embedded directly within aircraft systems. Through a comparative analysis of different LLM configurations, the system balances scalability and precision in handling cockpit-specific tasks. Challenges related to explainability, response latency, and integration with broader Human-Machine Interface (HMI) systems are identified as critical areas for future development. ; peer-reviewed |
| Τύπος εγγράφου: | conference object |
| Γλώσσα: | English |
| Relation: | https://www.um.edu.mt/library/oar/handle/123456789/137421 |
| DOI: | 10.1109/AERO63441.2025.11068478 |
| Διαθεσιμότητα: | https://www.um.edu.mt/library/oar/handle/123456789/137421 https://doi.org/10.1109/AERO63441.2025.11068478 |
| Rights: | info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Αριθμός Καταχώρησης: | edsbas.A1ECF2F1 |
| Βάση Δεδομένων: | BASE |
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