Continuing this post, in this interview
Krakauer notes a distinction between complicated and complex systems.
Examples of the former are simple relationships like billiard balls
bouncing off each other or the orbits of planets. Such systems scale
well with repeating patterns. But complex systems like human beings
have highly connected components that are integrated over different
time and spatial scales with no dominant factor, so models of them
require the same sort of complexity to describe them. Simple,
mechanical, complicated models are not sufficient.
That's
my issue with power laws in general and the model of hierarchical
complexity in particular. It seems to take the notion of power laws that
might apply to some relatively simple, complicated mechanics and apply
them to everything. Whereas complex systems require a different
mathematical model that itself adapts to a system at more complex
scales. But instead theorists look for short-hand, merely complicated
descriptions that force-fit the phenomena into its tidy little
equations.
Which also reminds me of Cilliars below discussing the distinction between complicated and complex systems.
"Chaotic
behaviour—in the technical sense of ‘deterministic chaos’—results from
the non-linear interaction of a relatively small number of equations. In
complex systems, however, there are
always a huge number of interacting components. Despite the claims made
about aspects of the functioning of the olfactory system, or of the
heart in fibrillation, I am unsure whether any behaviour found in nature
could be described as truly chaotic in the technical sense. Where sharp
transitions between different states of a system are required, I find
the notion of self-organised criticality (see Chapter 6) more
appropriate than metaphors drawn from chaos. This might sound too
dismissive, and I certainly do not want to claim that aspects of chaos
theory (or fractal mathematics) cannot be used effectively in the
process of modelling nature. My claim is rather that chaos theory, and
especially the notions of deterministic chaos and universality, does not
really help us to understand the dynamics of complex systems. That
showpiece of fractal mathematics, the Mandelbrot set—sometimes referred
to as the most complex mathematical object we know—is in the final
analysis complicated, not complex. Within the framework of the present
study, chaos theory is still part of the modern paradigm."
At 13:13 in this Dave Snowden
interview they also discuss the difference between the complicated and
the complex. The complicated can be taken apart and put back together
again. The complex cannot because "the properties of the whole are the
result of the interactions between the parts and their linkages and
constraints. In a complex system how things connect is more important
that what they are."
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