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The prominent feature of systems with self-adjusting parameters is an ability to avoid chaos. The name for this phenomenon is "Adaptation to the edge of chaos". Adaptation to the edge of chaos refers to the idea that many complex adaptive systems (CASs) seem to intuitively evolve toward a regime near the boundary between chaos and order. [19]
Although no universally accepted mathematical definition of chaos exists, a commonly used definition, originally formulated by Robert L. Devaney, says that to classify a dynamical system as chaotic, it must have these properties: [23] it must be sensitive to initial conditions, it must be topologically transitive, it must have dense periodic ...
Richard Tanner Pascale (June 14, 1938–May 24, 2024 [1] [2]) was an American academic, management theorist and business advisor. [3] He earned his MBA at Harvard.. He was based at Stanford Business School for 20 years and was named an Associate Fellow of the Saïd Business School at the University of Oxford in 2020.
The edge of chaos is a borderline region that lies between complete anarchy or randomness and a state of punctuated equilibrium. The agile enterprise ideally operates in this region, needing the tension between constant change and the constraints that weaken change efforts to keep the organization perturbed enough for innovation and success.
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A Missouri couple has been charged with child abuse after police claim they performed a circumcision on a child at their home despite not having the medical training to do so.
On Nov. 5, Mark Ruffalo settled in to watch the election night returns, expecting Kamala Harris to beat Donald Trump. But as one swing state after another tilted to the former and now future ...
The value of λ for the logistic map at r = 4 can be calculated precisely, and its value is λ = log 2 . Although a strict mathematical definition of chaos has not yet been unified, it can be shown that the logistic map with r = 4 is chaotic on [0, 1] according to one well-known definition of chaos . Graph of the invariant measure ρ(x) for r = 4.