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Introduction The five cellular automata:  
Algorithms 
Introduction
A cellular automaton consists of:
(a) A structure of cells, such as the squares on a chess board.
(b) A set of values or "states" such that each cell is associated with a particular state.
(c) A set of rules describing how one state of the system (a particular configuration of cells in specific states) is to be transformed or converted to another state of the system.
A simple and wellknown example of a cellular automaton is John Conway's Life. In this we consider a square array of cells, each of which is either "dead" or "alive". The eight cells immediately adjacent to a cell are called its "neighbors". The rules governing the dynamics of the system are as follows:
(i) In the transition from one "generation" to the next the state of each cell is changed once according to rules (ii) and (iii).
(ii) A cell which is alive will remain alive in the next
generation if there are two or three cells among its eight
neighbors which are alive; otherwise it dies.
(iii) A cell which is dead will remain dead in the next
generation unless there are exactly three cells among its
neighbors which are alive, in which case it becomes alive.
Five Cellular Automata allows exploration of five different cellular automata. All of them use a 2dimensional array of cells which can vary in size from 33x33 to 528x528. "Periodic boundary conditions" are used, meaning that the left edge of the array wraps around to contact the right edge, and the top edge of the array wraps around to contact the bottom edge. The structure is thus that of a torus, although it is easier to think of a 2dimensional plane in which an unlimited number of copies of the square array are reproduced next to, and above and below, each other (and each copy changes in the same way).
In each of these five automata the number of states is q (so that each cell is always in one of the states 1, 2, ..., q). The range of q depends on the automaton.
The five cellular automata are:
1. An extended version of Life, called qstate Life.
2. A simulation of the BelousovZhabotinsky chemical reaction in which, beginning from a random state of the system, spirals and curlicues "spontaneously" emerge.
3. A process called Togetherness in which cells with random states move so as to maximize the number of neighbors of each cell in the same state as that cell (or, thought of in another way, in which the cells rearrange themselves so as to form maximal clusters of cells all having the same state).
4. Viral Replication, a simulation of a population of dividing cells subject to viral infection.
5. DiffusionLimited Aggregation, illustrating a process in which particles diffuse (moving randomly) and aggregate to form a fractal structure.
When the software starts it begins with the screen for one of the five cellular automata selected at random.
An explanation of the workings of each of these cellular automaton, and how to explore them using the software, may be found by following the links above.
Saving Images
An image from any of the automata at any step may be saved to a .bmp file (817KB in size). After starting a run, and when the process is stopped or paused, a rightmouseclick (when the cursor is over the display) will bring up a dialog box asking if you wish to save the image (but only after the software has been activated). If so you can select the name and location for the .bmp file in which the image is to be saved:
How to obtain the software: A fullyfunctional version of the Five Cellular Automata software is available for free download from this website. Click on the following link to go to a web page with further information: