Collective intelligence isn't about maximizing order—it's about finding the right balance between coordination and flexibility based on what the system needs to achieve.
This paper develops a framework for understanding multi-agent systems by analyzing how individual agent properties (power and response functions) create emergent collective behaviors. It shows that synchronization increases output but can reduce resilience, and derives an optimal balance between order and adaptability based on system objectives.