Complexity theory principles

  • What are the principles of computational complexity theory?

    Computational complexity theory has shown that the set of problems that are solvable fall into different complexity classes.
    Most fundamentally, a problem can be considered efficiently solvable if it requires no more than a polynomial number of steps, even in worst-case scenarios..

In its most basic form, complexity theory involves the primary concepts of chaos and CAS, along with the tenets of path dependence, system history, non-linearity, emergence, irreducibility, adaptiveness, operating between order and chaos, and self-organization, as portrayed in Figure 2.
Structural information theory (SIT) is a theory about human perception and in particular about visual perceptual organization, which is a neuro-cognitive process.
It has been applied to a wide range of research topics, mostly in visual form perception but also in, for instance, visual ergonomics, data visualization, and music perception.

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