: 10:00 - 10:25 AM
Type: Contributed talk
Affiliation: Babeș-Bolyai University, Romania
Criticality in mainstream Kauffman-type random boolean networks (RBN)
can be controlled by tuning the average in-degree to the right balance between
the possible output values of the network functions. The behavior of dynamics,
especially in terms of the length of the so formed attractors, has been extensively
studied in the literature. By tightening the 'global' conditions for criticality to a
local level has major impact on the critical dynamics. We present an analytical
approach for describing general properties of this dynamics. The impact on the
periodicity is studied numerically.
The conditions for criticality in an RBN made up of two or more overlapping non-critical RBN-s are derived.