Sieves for Selection of Genes According to Desired Behaviors - Systematic Design for Emergence in Cellular Nonlinear Networks - page 97

we will call such behaviors as A : “Intelligent life” as opposing to complex
behaviors (like the Game of Life) but where after some (usually long)
transient the “living-like” properties ceases to a low periodic or steady
global state.
For the next cell ID in the list (6344), as seen from Fig. 6.3 such an “Intelligent-
life” behavior is observed. Now there is even much resemblance to the “Game of
Life” but even after iteration 8,000 there is no sign of some “implosion” into an
ordered low periodic global state. In my opinion, such “Eternal life” behaviors are
more suitable for further investigation than the classic “Game of Life”. Indeed as
shown previously, the “Game of life” is part of another class of behaviors, chara-
cterized by U<1 , i.e. of the “imploding” type. Real biological phenomena seem to
be driven by a force which keeps things alive by perpetual changes, very much
like the dynamics depicted in Figs. 6.2 and 6.3.
Fig. 6.2. Snapshots of the dynamic evolution of CA with ID = 3987 exhibiting the property
called here “Eternal life”
Simulating all other CA from the list gives similar evolutions with only two
exceptions, i.e. for the cells with ID = 108584 and ID = 244126. In those two cases,
relatively complex dynamics emerges but it eventually converges toward a low-
period global period. Note however that there are only two exceptions from all
seven genes (i.e. 28%) listed as the result of the sieving process.
This situation raises a question about how precise are the results of the sieving
process. As we already indicated in previous chapters, the vector of complexity
measures has an inherent degree of uncertainty, induced by the use of a particular