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  6. Shim
    Simplifying the complex with an effective graphic…like it!

    You may already be aware that we, at Ontonix, have already developed a means to measure system complexity and, through our work have established (amongst other things) that every complex system has a sustainable level of complexity [critical complexity] beyond which “the wheels stop”!

    Robust yet fragile: The message that a system can be both creator and casualty of its own complexity needs to understood. To balance “chaos” [entropy] and complexity – which can be counter-intuitive -firstly, requires measurement.

    Complexity Facts: http://wp.me/P16h8c-eu



    • Hey David, thanks for your thoughtful comment.

      We seem to be sucked into complexity and complex systems due to our lack of appreciation of the risks such systems entail. The promise behind complex solutions is enhanced functionality. Our inability to resist ‘more’ functionality (not unlike children who get drawn to shiny toys) is at the heart of our downfall. You state that to balance chaos and complexity requires measurement. Be that as it may, the first step is a recognition of the problem, realizing and accepting that complexity does lead to chaos. Measuring is probably a secondary, yet important, step.

      Having read through your ‘complexity facts’ I’m not convinced that they are all correct. For instance, “The amount of fitness of a system is proportional to its complexity – higher complexity implies higher fitness”. I can’t comprehend why this would be ALWAYS correct?

      Cheers, Shim.


  7. Pingback: Complexity Facts | quantmleap

  8. Pingback: Controlling Complexity – A Case Study | quantmleap

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