The model which we have devised must be able to generate evolution and
manage complexity or, rather, it must be able to increase the complexity
of the system.
It is therefore worth clarifying what we mean by complexity.
The study of complexity is the form itself of an evolutionary dynamic.
Indeed E. Jantsch asserts that "planning in an evolutionary spirit
does not involve a reduction but an increase of uncertainty and complexity.
It increases uncertainty because we decide to widen the spectrum of choices.
31 Imagination enters
the picture. Instead of doing that which is obvious, we want to look for
and take into consideration also that which is not so obvious" .
32
It is impossible, however, "to produce complexity directly, without
activating or waiting for the evolution of a dynamic process whose history,
real or virtual, passed in linear and discontinuous evolution has increased
and not broken up its own characterisation". 33
In terms of an object scale, complexity depends on the specific history
of a project which has led to that possible result, on the genius loci,
of that particular environment, on the operative logic activated beyond
the gesture, perhaps impromptu, which has sparked the evolutionary process.
At this point it is worth underlining that the organisational structure
of the morphogenetic project discards those models which use exclusively
linear procedures because they are unable to manage evolution which can
be predicted with certainty.
In fact an "essential prerequisite for complex evolutionary phenomena
is a non-linear dynamic, which involves place within certain limits, instability
of motion and divisions characterised by a combination of variables. It
is therefore implicit that the main aspect of the problem is the specificity
of the system in consideration, and so at each stage of the analysis the
modeler must be able to link the parameters of order to the variables originally
present, of adding the normal dynamic form to the mechanism of processes
which occur in the system, and of satisfying the boundaries which can be
imposed by the nature of the problem itself". 34 |