Adaptation to the edge of chaos refers to the idea that many complex adaptive systems (CAS) seem to intuitively evolve toward a regime near the boundary between chaos and order.[19] Physics has shown that edge of chaos is the optimal settings for control of a system.[20] It is also an optional setting that can influence the ability of a physical system to perform primitive functions for computation.[21] In CAS, coevolution generally occurs near the edge of chaos, and a balance should be maintained between flexibility and stability to avoid structural failure.[22][23][24][25] As a response to coping with turbulent environments; CAS bring out flexibility, creativity,[26] agility, and innovation near the edge of chaos; provided the network structures have sufficient decentralized, non-hierarchical network structures.[24][23][22]