Paper by Cilliars. Some excerpts:
"In the first place it must be underscored that systems cannot do
without hierarchies. [...] Problems arise, however, when these
hierarchies are seen as either too clearly defined, or too permanent.
The classical understanding of hierarchies tends to view them as being
nested. In reality however, hierarchies are not that well-structured.
They interpenetrate each other, i.e. there
are relationships which cut across different hierarchies. These
interpenetrations may be fairly limited, or so extensive that it becomes
difficult to typify the hierarchy accurately in terms of prime and
subordinate parts" (7).
"A
final issue to consider briefly is the role of network models in
understanding complex systems. Do they have any advantages? I have
argued previously that neural networks provide a better framework
for modelling complex systems than
rule-based models. [...] Network models can self-organise, information
is represented in a distributed fashion, and most importantly,
structures which are very loose, very rigid, and everything in between
can be implemented in the same medium" (8).
He also notes the limitations of a network model, typical of any form of modeling.
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