Bosses, Kings, and the Commons: Cooperation Under Power Asymmetry in LLM Societies
For researchers studying LLM-based governance simulations, this work highlights a critical but previously overlooked factor—power asymmetry—that dramatically undermines cooperation and sustainability.
This work introduces SovSim, a multi-agent simulation framework to study cooperation under power asymmetry in LLM societies. Results show that asymmetric power causes severe breakdowns in cooperation and sustainability, with up to 87.3% degradation in survival rate compared to symmetric settings.
Communities can sustainably manage shared resources (commons) through self-governance and cooperative norms, a central finding of Ostrom's theory of self-governance. However, real-world commons (e.g., fisheries, forests, and irrigation systems) are often governed under asymmetric power structures, where certain individuals or institutions possess disproportionate control over resource extraction and collective outcomes. As Large Language Models (LLMs) are increasingly explored as agents in synthetic governance simulations, understanding how LLM societies behave under asymmetric power structures is becoming increasingly important, yet existing evaluations largely ignore such asymmetries. We introduce Sovereignty over the Commons Simulation (SovSim), a generative multi-agent simulation framework that incorporates an agent with asymmetric power (boss or king) into a society of symmetric agents (workers or peasants), where all agents extract from a shared resource, collectively determining its sustainability over time. Across eleven state-of-the-art models, we find that introducing asymmetric power leads to severe breakdowns in cooperation and sustainability, with up to an 87.3% degradation in survival rate relative to symmetric settings.