  Random Boolean networks have been used widely to explore aspects of gene
regulatory networks. A modified form of the model through which to
systematically explore the effects of increasing the number of gene states has
previously been introduced. In this paper, these discrete dynamical networks
are coevolved within coupled, rugged fitness landscapes to explore their
behaviour. Results suggest the general properties of the Boolean model remain
with higher valued logic regardless of the update scheme or fitness sampling
method. Introducing topological asymmetry in the coevolving networks is seen to
alter behaviour.
