Entropy can be characterized by the term ‘randomness’ to express the phase duration in which a stable system’s state mutates due to expected or unexpected variables. Entropy is fundamentally the erratic behavior of a system caused by external disturbances that leads to a chaotic or disorganized structure of which a system may no longer function as a single unit. In system science, this effect is understood as the natural ‘force’ or movement towards disorder in Nature. Like natural elements, every system has a life cycle. Depending on the kind of system at stake, closed or open system, and if designed to adapt, a system will survive as a decentralized system regardless of external disturbances (i.e. seemingly randomly dispersed elements of a whole system that behave according to decentralized laws; e.g. a flock of birds).  An Open System would be an example of such systems that presents (after observation overtime) a pattern in its motion from order to disorder, and from disorder to order; in which case the system can be said to be stable regardless of ‘entropy.’