@inproceedings {pub6143,
	title = {Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach},
	author = {Ahmed Sadik AND Muhammad Ashfaq AND Niko M{\"a}kitalo AND Tommi Mikkonen},
	year = {2025},
	month = {June},
	abstract = {Urban Air Mobility (UAM) is an emerging System of Systems (SoS) that presents significant challenges in system architecture, planning, task management, and execution. Traditional approaches often struggle with scalability, adaptability, and seamless resource integration within dynamic and complex environments. To overcome these limitations, this paper introduces an intelligent holonic architecture enhanced by Large Language Models (LLMs). By incorporating LLMs into the holonic framework, the system gains advanced reasoning capabilities, real-time validation of proposed plans, and seamless resource allocation, ensuring more efficient decision-making. LLMs also enable adaptive trip planning, customer interaction, and the effortless integration of new resources, reinforcing the inherent flexibility of holonic systems. This enhancement facilitates ad-hoc scalability through plug-and-operate functionality, dynamic task allocation, and optimized resource management, making UAM systems more responsive and resilient. A case study demonstrates the practical implementation and effectiveness of the proposed LLM-enhanced holonic solution, showcasing its transformative potential to meet the increasing demands for intelligent, adaptive, and scalable UAM operations.},
	publisher = {IEEE},
	url = {https://www.youtube.com/watch?v=-WSf_vAL2WE},
	booktitle = {system of systems engineering conference 2025 - SOSE25}
}