Green These demonstrations show that the manner in which cells are updated can have just as great an effect as the underlying rules in a model.
For instance, modern integrated computer chips are so complex that manufacturers have to allow for different parts of the chip getting updated at different times.
In recent years, researchers have begun to look more closely at the impact that different processing patterns can have.
Some of these patterns are illustrated in the figure.
It shows a simple systems of four cells wit time running from left to right.
Each spike indicates the time at which a particular cell gets updated.
Asynchronous patterns are of two kinds: Although the demonstrations shown here show asynchrony in cellular automata, they can occur in any system with multiple components. In socio-economic systems, for instance, events are often random independent.
Many biological systems seem to run according to a clocked scheme.
The rate of plant growth, for instance, is locally limited by the supply of nutrients.
Finally, self-synchronization seems to occur in many systems and may be an important mechanism for generating local order.