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Complex Adaptive Systems
Wolfram’s class four
cellular automata are examples of complex systems known as complex
adaptive
systems. A Complex Adaptive system is also a dissipative system, so it
has all
the qualities of a dissipative system, but a complex adaptive system is
more
complex and has more qualities other dissipative systems do not have. A complex adaptive
system not only has the ability to maintain its boundaries and sustain
its own
existence, but can also adapt and change itself to make it even more
fit for
it’s environment. In short, it is a system that can learn. A complex
adaptive
system will have some form of memory, whereby it can ‘remember’ what
has
happened in its history and use that information as a part of its
strategy for
acting more effectively in the present. Whether it is a bacterium
sensing
changes in the concentration of a particular chemical indication food
in that
direction or a university professor gaining an understanding of quantum
physics, the process is still using information gained previously to be
more
effective in the present. All life is made up
of complex adaptive systems. Complex Adaptive systems are usually
comprised of
a large number of separate autonomous agents operating in their own
interests,
but also co-operating together as a whole functional unit. There is no
“control
centre” in charge of what happens. There is nobody or no-thing in
charge to
make decisions, and yet all the decentralised decisions necessary and
all the
co-operation necessary between the agents occurs. The intense and
complex
interactions between the agents that make up the organism, enable a
process
called “emergence” where the organism to act as one unit in a way not
possible
by the individual agents. It is only when the all work together
dynamically
that the overall system maximises its location on the phase space.
Complexity
takes what is complex and allows it to operate in simple ways. The individual
agents
do not need to be intelligent for the system overall to be intelligent.
The
extra co-ordinated ability comes from the relationships between the
agents. A
complex adaptive system is run from the bottom up rather than top down.
It is
the individual agent that determine the overall shape of the system,
even
though the systems imposes restrictions on the individual agents in
order that
they the system functions as a whole unit. Complex adaptive
systems often develop into nested layers. All the agents interact
together
intensely such that new emergent, organism-wide attributes develop.
Millions of
ants work together such that the colony is capable of operating in ways
no mere
collection of ants could. The whole society works together so it can be
seen as
a single organism maximising its position in its environment. The newly
created
attributes themselves interact intensely so as to enable the emergence
of yet
another level of complexity growing out of the previous level. As this
process
continues each new layer emerges, nested in the previous layer. The
whole
system works as a single unit while the individual agents still operate
autonomously and different parts work in together to form a whole
multi-layered
being. The layers in a complex adaptive
system typically form in a fractal fashion, so what happens at one
level is
mirrored at other levels. The
human body is an excellent example of a nested complex adaptive
system. The agents that make up a complex
adaptive
system are often complex adaptive systems in their own right. The cell is the basic unit of life and it is a
complex adaptive system with its own semi-permeable boundary that can
allow
necessary chemicals into the cell and prevent harmful ones from
entering. It is
sustained by this flow of energy. It is made up of self-sustaining
elements
such as the mitochondria, apparatus golgi and cell nucleus. The
cells them from together to create body tissue that works together
in a new organism-wide system capable of operating in ways a collection
of
cells never could. Different
pieces of body tissue then
congregate to form body organs that again are capable of co-ordinating
the
actions of the various body tissues in new emergent ways.
A complex adaptive
system is resilient in the face of perturbations from the environment
that
would cause less adaptive systems to disintegrate. It therefore does
not need
perfect conditions in which to live. It can change its own state to
compensate
for changes in the environment to increase its ability to survive.
Furthermore,
it has a memory and can learn from previous experience. A complex
adaptive
system can learn so it makes best advantage of its situation and can
avoid many
pitfalls that may exist in its environment. Since
a complex
adaptive system starts in a complex state with many agents interacting
which
reduces to simple outputs, they are irreversible. We can not back
engineer the
system to see what it was like when it started, which may be possible
for a
chaotic system since it grows from the simple to the complex.
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