In deterministic modelling, processes are identified and understood in
terms of basic mathematical and physical laws and axioms. In stochast
ic modelling, a random element is permitted and modelling is frequentl
y undertaken using empirical probability distributions. These two mode
lling approaches are perhaps best exemplified in biology and ecology w
here measurements of natural processes have an apparent randomness and
, at the same time, deterministic differential equations attempt to br
idge the gap between the biology and the underlying physics. Using the
intermediary of the theory and application of mathematical chaos, it
is suggested that these two mathematical 'world views' may be able to
be reconciled. It is suggested that a new and relevant view may be of
stochasticism as being a manifestation of a strange attractor arising
from a set of non-linear differential deterministic equations.