Life is an example of emergence and self-organization. Because of Life's analogies with the rise, fall and alterations of a society of living organisms, it belongs to a growing class of what are called 'simulation games' (games that resemble real life processes)Įver since its publication, Conway's Game of Life has attracted much interest because of the surprising ways in which the patterns can evolve. The game made Conway instantly famous, but it also opened up a whole new field of mathematical research, the field of cellular automata. From a theoretical point of view, it is interesting because it has the power of a universal Turing machine: that is, anything that can be computed algorithmically can be computed within Conway's Game of Life. The game made its first public appearance in the October 1970 issue of Scientific American, in Martin Gardner's "Mathematical Games" column, under the title of The fantastic combinations of John Conway's new solitaire game "life". The Game of Life emerged as Conway's successful attempt to simplify von Neumann's ideas. (In other words, each generation is a pure function of the one before.) The rules continue to be applied repeatedly to create further generations.Ĭonway was interested in a problem presented in the 1940s by renowned mathematician John von Neumann, who tried to find a hypothetical machine that could build copies of itself and succeeded when he found a mathematical model for such a machine with very complicated rules on a rectangular grid. The first generation is created by applying the above rules simultaneously to every cell in the seed - births and deaths happen simultaneously, and the discrete moment at which this happens is sometimes called a tick. The initial pattern constitutes the 'seed' of the system. Watch Math Brown demonstrate how to interact with our implementation of Conway's Game of Life in the video below.Please enable Javascript to view this LifeViewer.Īnimated evolution of a pattern known as the two-glider octomino, with highlighted envelope (cells that were alive at some earlier point) And other times, all cells will quickly die off or stabilise into a static formation, known as a still life, such as a 2x2 square. Other times, it will create a repeating sequence (such as the glider, pulsar, and spaceship from the preset dropdown). Sometimes an initial state will create an unpredictable, chaotic sequence. Those 4 seemingly simple rules can result in wildy differing sequences.
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