Can LLMs improve UAM's holonic architecture?
Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach
May 2, 2025
https://arxiv.org/pdf/2505.00368This paper proposes a new system architecture for managing Urban Air Mobility (UAM), a complex network of air taxis, ground vehicles, and infrastructure. It uses a "holonic" approach, meaning the system is made up of independent but cooperating parts (holons), like a swarm. Crucially, these holons leverage Large Language Models (LLMs) to interpret commands, make plans, and adapt to real-time changes like traffic or weather, demonstrating the potential of LLM-driven reasoning in a complex, multi-agent environment. This enhances the system's flexibility and resilience compared to traditional methods.