Abstract
Cellular Automata (CA) are, for the most part, used to model discrete dynamic systems. The temporal development of the system is represented in an n-dimensional cell space. The cell space is represented by vectors or n-dimensional matrices whereas the dimension is assumed to be principally infinite. Within this space there are cells that may assume a finite number of states. The state of a cell at a discrete timestep t 0 is determined by its own state as well as the states of the neighboring cells at timestep t −1. In nearly every type of cellular automaton, only discrete changes of state are taken into consideration. Each cell of the grid must follow the same state transition rules. A new state of a cellular automaton results from the application of the state transition rules to all cells of the cell space.
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(2009). Cellular Automata. In: Algorithmic Composition. Springer, Vienna. https://doi.org/10.1007/978-3-211-75540-2_8
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