effective complexity (EC) is the length of a concise description of a set of regularities (found by mutual information (MI) in a system; EC assists in the differentiation of the terms complex, simple, complicated, chaos, and stochastic.
It turns out that while it is true that:
- simple systems are simple,
- complicated systems are complicated,
- complex systems are complex,
- chaotic systems are chaotic, and
- stochastic (random) systems are stochastic (random)
It is also true that there is a deep and surprising relationship between complex adaptive systems (CAS) (such as complex cognition or "systems thinking" and organizations) and simple rules. This means, somewhat paradoxically, that:
- complex systems are also simple
Any determination of "complexity" is DSRP-intersubjective. However, the following images provide a good guide for how these terms are distinguished.
Explained another way:
Another way of illustrating the above is as follows:
Or in map form: