Fractals and chaos has connections with complexity theory in
which emergence and self-organising behaviour are important
areas of study (Waldrop, 1992; Zexian, 2007). Complex systems
may include thousands of components; include feedback and feed
forward loops; nonlinear interactions between their parts and so
on, making any assessment of causes and consequences unreliable.
We therefore argue that a far reaching modelling aiming at a detailed
simulation at a systems level have too many uncertainties
to be viable. Detailed modelling has for most applications to be restricted
to a small part of the system, i.e. a small world.