Research of Stochastic Behaviour of Cellular Automata

A wide range of complex systems with local interactions could be described by cellular automata. Despite the fact, that in general, behaviour each automata on its own quite simple, their effective combination, or setting unusual interaction rules may result extraordinary system much more complicated behaviour, unexpected and ambiguous observation results. Stochasticity between cells approximates simulated environment to real conditions helps finding optimal strategy, which would stable under all circumstances events, especially unlikely ones. Stochastic are often used for modelling natural phenomena processes, simulating traffic flows, cryptography, so on. Finding an strategy – is a key problem managing environments available outside influence.This article shows existence strategies stochastic systems, gives example applying improving algorithm case extinguishing forest fires, analyses chosen optimality.