The Robustness and Vulnerability of a Complex Adaptive System With Co-Evolving Agent Behavior and Local Structure

Agents' irrational behavior would lead to local configuration of complex adaptive system percolation. The corresponding critical point is key making decisions for improving the or keeping from collapsing. authors construct a model where agent and its co-evolve. This shows, when an arbitrary neighbors change their strategy interactive configuration, how properties percolation this emerge under random attack intentional attack. It shown that robust if it attacked randomly, there are always at least two large components connected. However, intentionally, result more interesting. deleting probability smaller than certain c0, but vulnerable larger c0. Furthermore, c0 determined by payoff, structure, noise.