Optimal Order of Multi-Agent and General Many-Body Systems

This paper presents a framework for analyzing multi-agent systems, focusing on agent-level variables such as power and response functions to understand collective behaviors. Key findings include the derivation of macroscopic properties like total power and entropy, and the introduction of a system-level utility function to optimize the balance between growth and resilience. This work is significant for practitioners as it provides insights into designing agent interactions to enhance collective intelligence and optimize system performance in varying contexts.