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  2. Cellular automata have found application in various areas, including physics, theoretical biology and microstructure modeling. A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice).

  3. Mar 26, 2012 · Cellular automata (henceforth: CA) are discrete, abstract computational systems that have proved useful both as general models of complexity and as more specific representations of non-linear dynamics in a variety of scientific fields.

  4. A cellular automaton (cellular automata plural, or CA for short) is a model of a system of cell objects with the following characteristics: The cells live on a grid. (I’ll include examples in both one and two dimensions in this chapter, though a CA can exist in any finite number of dimensions.)

  5. Cellular automata (CA), model of a spatially distributed process that consists of an array (usually two-dimensional) of cells that “evolve” step-by-step according to the state of neighbouring cells and certain rules that depend on the simulation. CAs can be used to simulate various real-world.

    • The Editors of Encyclopaedia Britannica
  6. Cellular automata are mathematical models of massively parallel computing; computational models of spatially extended non‐linearphysical, biological, chemical and social systems; and primary tools for studying large-scale complex systems.

    • Andrew Adamatzky
  7. A cellular automaton (plural: cellular automata) is composed of a grid of cells. Traditionally, cells can be in a finite number of discrete states, although some more modern variations on cellular automata have changed this rule.

  8. Jan 13, 1999 · Every chessboard cellular automaton is determined by a set of eight rules like this, implying that there is a total of 256 automata. Stephen Wolfram was the first to observe the various patterns produced by these types of cellular automata.

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