ABSTRACT
The objective of the Cellular Automata (CA) technique is to represent or explain a complex physical or social phenomenon using a simple, automated rule. The history of CA goes back to the 1940s when von Neumann introduced the concept of extracting the abstract mechanisms leading to self-reproduction of biological organisms. The CA model must use some simple local rules at the microscopic level but at the same time it must reflect the macroscopic behavior of the physical system under consideration. The number of analyses of the local CA grid system before the next global CA analysis depends on the number of grids in the local grid system. This is decided to match the time increments between the local and global mesh sizes. For the global analysis, the values at the global nodes, which were determined from the local grid analysis, are used.
