Yoda: Demystifying Change – Thesis, Anti-Thesis, Synthesis

Advanced Cyber/IO, P2P / Panarchy, Resilience
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Got Crowd? BE the Force!

May the force be with you….

Demystifying the Pattern(s) of Change: A Common Archetype

April 17, 2012

EXTRACT

Complex Adaptive Systems Adaptation at the Edge of Chaos

Without going too deep into the theories, complexity science and the theory of complex adaptive systems teach us that complex adaptive systems (CAS) and living systems (LS) adapt to changes occurring in their environment in a state away from dynamic equilibrium, at the edge of chaos—a paradoxical transition phase of simultaneous stability and instability.  At the edge of chaos, when the conditions are right, the components of CAS and LS are able to spontaneously self-organize, without any blueprint.  The result is the emergence of new structures of higher-level order and new patterns of organization better adapted to the environment.  This creative process, taking a system from dynamic equilibrium to the edge of chaos, and, then, to a higher state of order, coherence and wholeness is depicted on Figure 2.  It is important to note that emergence is never a guarantee.  When the system does not have the required learning capacity to creatively self-organize and transform, it may go through an immergence—a process of disintegration and complete breakdown.

Read full article, additional graphics.

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Click on Image to Enlarge

Phi Beta Iota:  Entire article recommended, the best we have found on this topic.  What it boils down to is that the incumbent system will keep doing what it has always done to the point of zero returns and collapse, and it is in that period of collapse that new and higher order solutions are finally free to emerge, blossom, and become the new system.  Until collapse, the old system has the power to repress the pioneers.  The autonomy of the elements matters — repressions closes options.

See Also:

DuckDuckGo / Complex Adaptive Systems

DuckDuckGo / Panarchy

DuckDuckGo / Resilience

 

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