"Nonlinear dynamics are concerned with complex, messy systems," writes Esko Kilpi in this excellent post describing the interplay between patterns and connections. "Chaos theory explains how the parameters in the equations cause patterns in time. These patterns are called attractors... At very high rates of, for example information flow, the system displays a totally random behavior. The pattern is highly unstable. However, there is a level between repetition/stability and randomness/instability. This level is called the edge of chaos. The pattern in time is called a strange attractor. The strange thing with a strange attractor is that the ongoing movement is never the same but always recognizable."
So what? Well, it gives you a way of organizing things. You can't manage or control a chaotic system - you can't even predict the outcome. But as this article suggests, you can identify, and even position, attractors. "In sum, our strategy was to control only that which could be ordered. For those activities in the realm of that which is, and must be, unordered, we watched and we shaped – gently, but with insistence. Because I have learned to know the difference between the states of order and unorder, I am now seen by all Athens as the wisest of men." This is at the heart of Snowden's framework (see below).
So what? Well, it gives you a way of organizing things. You can't manage or control a chaotic system - you can't even predict the outcome. But as this article suggests, you can identify, and even position, attractors. "In sum, our strategy was to control only that which could be ordered. For those activities in the realm of that which is, and must be, unordered, we watched and we shaped – gently, but with insistence. Because I have learned to know the difference between the states of order and unorder, I am now seen by all Athens as the wisest of men." This is at the heart of Snowden's framework (see below).
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