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Complex systems contain
a population of components interacting with one another to generate
outcomes that are not obviously predictable from the known properties
of the individual parts. The resultant patterns, structures or properties
displayed by the system are often described as emergent phenomena,
where due to the non-linearity of the component interactions, the
whole is indeed greater than the sum of the parts. The world is
full of complex systems such as neural networks, economic systems,
the internet, and societies such as ant colonies. The latter represents
one of the most accessible illustrations of this principle. Colonies
achieve magnificent feats of engineering and resource management
without any top down dictation of tasks. Instead the organisational
and structural features of the colony emerge from the ground up
as a consequence of the individual ants following simple rules in
response to their interaction with one another and other external
stimuli.
Chemical systems that have the potential
to display emergent properties are especially challenging to study
for (at least) two reasons. The complexity of the system may overwhelm
analytical techniques preventing an understanding of the detailed
composition. This in turn makes observation of any emergence properties
difficult as only changes to input and any outputs may reveal the
presence of self-organisational features. Despite these challenges
we are interested in establishing and studying complex non-equilibrium
chemical systems for properties such as chirality amplification
and selective catalysis. |