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The Idea of the Edge of Chaos





                                                What is Chaos?


                  A mathematics-based system is chaotic if it displays unpredictable
                  turbulence that is highly sensitive to differences in initial conditions
                  even though those initial conditions are totally determined. Known as
                  the butterfly effect, small differences in initial conditions (such as
                  those due to rounding errors in numerical computation) yield widely
                  diverging outcomes rendering long-term prediction of their behavior
                  impossible in general. The unpredictability is linked to positive
                  feedback loops over multiple repetitions.
                  Chaotic behavior exists in many natural systems, such as weather and
                  climate. It also occurs spontaneously in some systems with artificial
                  components, such as road traffic.

                  In business, the mathematical aspects of chaos theory are largely lost
                  and it has come to signify the more prosaic idea of perceived
                  turbulence and unpredictability with the added idea of
                  'opportunity' as the established order is disrupted.

                                  What is "The Edge of Chaos"?


                  The central conceit of the 'edge of chaos' construct is that 'life' exists at
                  the border between order and chaos or rather between equilibrium
                  and turbulence. It was originated by mathematician Doyne Farmer to
                  describe the transition phenomenon discovered by computer
                  scientist Christopher Langton examining the behavior of a cellular
                  automaton.
                  A system in equilibrium (technically negative feedback homeostasis)
                  does not have the internal dynamics to enable it to respond to shifts its
                  environment outside its normal range as it is organized to optimize. If
                  the context shifts radically, it is at risk of slowly (or quickly) dying or
                  collapsing into chaos as the system tries to adapt, struggling against
                  the inertial forces of stability.

                  A chaotic system ceases to function as a system, loses internal
                  coherence and falls apart unless it can reorganize around an


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