Dataset and simulation analysis

The dataset explains the dynamics of an agent-based simulation conducted over 157,097 steps, tracking the behaviors and interactions of artificial agents under varying environmental pressures and population structures. It contains 12 key metrics:

1. tick: Simulation step or iteration.
2. cooperators: Number of cooperative agents.
3. defectors: Number of defecting agents.
4. super_reciprocators: Number of agents employing advanced cooperative strategies.
5. free_riders: Number of agents exploiting resources without contributing.
6. avg_alignment: Average alignment index of the agents (scale 0–1).
7. entropy: A measure of system diversity.
8. coherence: Degree of collective alignment.
9. adaptation_pressure: Measure of agents' stress in adapting to environmental changes.
10. environmental_stress: External stress imposed on the system.
11. mean_energy: Average energy levels of agents.
12. mean_reputation: Average reputation levels of agents.