Roger Critchlow wrote: > I haven't read enough to see how they identify the "modules" into > which they decompose the phenotype so they can select different > subsets of modules on each environmental change. It looks function composition to me. g(f(x,y),h(w,z)) where they, say, swap around the order of f and h in g. In that way the evolved boolean network must evolve to remember how g, f, and h work independently to be efficient and coping with changes in ordering. Intuitively, it makes sense that changing the composition of functions from time to time would make each function be more robust.
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