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2. 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 ...

3. 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 ...

4. Elementary cellular automaton - Wikipedia

   en.wikipedia.org/wiki/Elementary_cellular_automaton

   Class 1: Cellular automata which rapidly converge to a uniform state. Examples are rules 0, 32, 160 and 232. Class 2: Cellular automata which rapidly converge to a repetitive or stable state. Examples are rules 4, 108, 218 and 250. Class 3: Cellular automata which appear to remain in a random state. Examples are rules 22, 30, 126, 150, 182.

5. Codd's cellular automaton - Wikipedia

   en.wikipedia.org/wiki/Codd's_cellular_automaton

   Codd's cellular automaton is a cellular automaton (CA) devised by the British computer scientist Edgar F. Codd in 1968. It was designed to recreate the computation- and construction-universality of von Neumann's CA but with fewer states: 8 instead of 29.

6. Langton's loops - Wikipedia

   en.wikipedia.org/wiki/Langton's_loops

   The '70' command advances the end of the wire by one cell, while the '40-40' sequence causes the left turn. State 3 is used as a temporary marker for several stages. While the roles of states 0,1,2,3,4 and 7 are similar to Codd's CA, the remaining states 5 and 6 are used instead to mediate the loop replication process.

7. Asynchronous cellular automaton - Wikipedia

   en.wikipedia.org/.../Asynchronous_cellular_automaton

   The state of every cell in the model is updated together, before any of the new states influence other cells. In contrast, an asynchronous cellular automaton is able to update individual cells independently, in such a way that the new state of a cell affects the calculation of states in neighbouring cells.

8. Second-order cellular automaton - Wikipedia

   en.wikipedia.org/.../Second-order_cellular_automaton

   If we view the two states as Boolean values, this correspondence between ordinary and second-order automaton can be described simply: the state of a cell of the second-order automaton at time t + 1 is the exclusive or of its state at time t − 1 with the state that the ordinary cellular automaton rule would compute for it. [4]

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")