Chaos or the sensitive dependence on initial condition can result in very different outcome given a almost same initial condition. A well-known example is butterfly effect. Chaos has excellent ability to change things, but something should be immune from it. Intuitively, the things should be systems in some kinds of scaling. That is, if a forest be this system, then this scaling does not denote a flower blooms two or three, it denotes the behaivor of that system: some species proportion in this forest increases very high in relative short time. Human-beings live on earth so many years and environment is relative invariable, at least no extreme shift. A molecule's shift can't shift global climate; a plant's cutting can't shift whole forest; a individual's behavior can't change climate of society; Economics has been separated into macro part and micro part. It seems system's robust is dominant by something else power, may be emergence. However there is no proof because it is impossible, but i think i am guessing right.
I think a system run on a computer, introducing chaos feature will not lead system's crush. Only one situation need to be considerate: the scaling of that system, include components and final effects
混沌特性与系统稳定性
本文探讨了混沌特性及其敏感依赖于初始条件的现象如何影响系统的长期行为,并提出了即使在引入混沌特性的计算机模拟系统中,系统崩溃的情况也极少发生的观点。作者认为,在某些尺度下,系统应该具备抵抗混沌变化的能力,这种能力可能来源于系统的内在稳定性或涌现特性。
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