Perturbed Cellular Automaton
A perturbed cellular automaton represents a cellular automaton, but with changes to any number of cells in its state, that are not specified by the rules.

In his research, Stephen Wolfram has used this system to model biological organisms surviving in uncertain environments, as well as the medical concepts of disease and treatment.
In these cases, the idea is that the unperturbed automata represents a "healthy organism", and a perturbation represents an unpredictable change in the environment. If the perturbation results in a change to some specific feature of the automata that is considered to be deleterious, say, making it "die out”, then we can think about that perturbation as causing a “disease”.

In this framing we can begin to categorize the "types of disease": with some perturbations having little effect on the organism, other perturbations affecting the details of the pattern but keeping a similar overall shape, and some that disrupt both the "low-level" details and the "high-level" features, leading to unbounded "tumor-like" growth.
We can then imagine some secondary perturbation that is applied in an attempt to recover the original pattern, or “treat the organism”.
