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  2. Rule 30 - Wikipedia

    en.wikipedia.org/wiki/Rule_30

    Rule 30 is an elementary cellular automaton introduced by Stephen Wolfram in 1983. [2] Using Wolfram's classification scheme , Rule 30 is a Class III rule, displaying aperiodic, chaotic behaviour. This rule is of particular interest because it produces complex, seemingly random patterns from simple, well-defined rules.

  3. Cellular automaton - Wikipedia

    en.wikipedia.org/wiki/Cellular_automaton

    A special class of cellular automata are totalistic cellular automata. The state of each cell in a totalistic cellular automaton is represented by a number (usually an integer value drawn from a finite set), and the value of a cell at time t depends only on the sum of the values of the cells in its neighborhood (possibly including the cell ...

  4. Von Neumann cellular automaton - Wikipedia

    en.wikipedia.org/wiki/Von_Neumann_cellular_automaton

    Initially, much of the cell-space, the universe of the cellular automaton, is "blank", consisting of cells in the ground state U. When given an input excitation from a neighboring ordinary- or special transmission state, the cell in the ground state becomes "sensitised", transitioning through a series of states before finally "resting" at a ...

  5. Rule 110 - Wikipedia

    en.wikipedia.org/wiki/Rule_110

    The Rule 110 cellular automaton (often called simply Rule 110) [a] is an elementary cellular automaton with interesting behavior on the boundary between stability and chaos. In this respect, it is similar to Conway's Game of Life .

  6. Reversible cellular automaton - Wikipedia

    en.wikipedia.org/wiki/Reversible_cellular_automaton

    A cellular automaton is defined by its cells (often a one- or two-dimensional array), a finite set of values or states that can go into each cell, a neighborhood associating each cell with a finite set of nearby cells, and an update rule according to which the values of all cells are updated, simultaneously, as a function of the values of their neighboring cells.

  7. Rule 184 - Wikipedia

    en.wikipedia.org/wiki/Rule_184

    A state of the Rule 184 automaton consists of a one-dimensional array of cells, each containing a binary value (0 or 1). In each step of its evolution, the Rule 184 automaton applies the following rule to each of the cells in the array, simultaneously for all cells, to determine the new state of the cell: [3]

  8. Category:Cellular automaton rules - Wikipedia

    en.wikipedia.org/wiki/Category:Cellular...

    Download as PDF; Printable version; ... This category contains articles on specific automaton systems, rather than on specific patterns. It also does not include ...

  9. Life-like cellular automaton - Wikipedia

    en.wikipedia.org/wiki/Life-like_cellular_automaton

    A cellular automaton (CA) is Life-like (in the sense of being similar to Conway's Game of Life) if it meets the following criteria: The array of cells of the automaton has two dimensions. Each cell of the automaton has two states (conventionally referred to as "alive" and "dead", or alternatively "on" and "off")