Agentic Hives: Equilibrium, Indeterminacy, and Endogenous Cycles in Self-Organizing Multi-Agent Systems

Researchers introduce the Agentic Hive framework for self-organizing multi-agent AI systems where autonomous micro-agents can be dynamically created, specialized, or destroyed based on resource availability and objectives. The framework applies economic theory to prove seven analytical results about equilibrium states, stability, and demographic cycles in variable AI agent populations.