

![0_image_0.png](0_image_0.png)

Fig. 3. An example of a typical configuration generated by glider-supporting rules. Gliders multiply during collisions, so the whole space is filled by visually disorganized but in reality highly ordered pattern.

see that, in most cases, development of an automaton from initial random configurations leads to disorderly looking configurations (even if the patch of initial stimulation was small enough). This is because gliders inhabit such spaces in **abundance,**
they interact one with another, produce more gliders in result of their interaction, and populations of swarming gliders look like quasi-chaotic patterns for naked eyes
(Fig. 3).

## 5. Quasi-Chemical Reaction

In order to characterize sets of possible quasi-chemical reactions, which lead to the formation of stationary and mobile perturbations of reagent concentrations, we provide isoline representation of the glider likehood matrices in Fig. 4. **Based on the**
distributions shown in Fig. 4 we can speculate that Finding 1. A probability, or rate, of dissociation of reactants decreases with the increase of number of the reactant molecules in each one local site of the medium.

See topology of isolines in Fig. 4a.

Finding 2. Reactions leading to production of reactants A and B **are most likely**
to involve not more then four (usually between one and three) molecules of the reactants.

Distributions shown in Fig. 4a and b reach their ground-zero levels (no reaction take place) for the sites where satisfying the condition: Sum of molecules A and