Hoffmann, G.W. "The Application of Stability
Criteria in Evaluating Network Regulation Models", in Regulation of Immune
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This paper introduces the
"Unpredictability Axiom", which states that an acceptable network
model must be able to function with V-V interactions generated by a random
number generator. Several models by other authors are critically
reviewed.Possible symmetric two-variable virgin states are analysed, and it is
concluded that the virgin state of the symmetric network theory is unique. An
old question has been the problem of wedding complexity to stability, and this
is addressed by analyzing an N variable generalization of the model equations
for the virgin state. In contrast to linear systems, in which increasing
complexity led to a decreasing probability of stability, this non-linear system
is characterized by an increase in the probability of stability with increasing
complexity.