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cellular automaton

   Also found in: Wikipedia 0.04 sec.

A state machine that consists of an array of cells, each of which can be in one of a finite number of possible states. The cells are updated synchronously in discrete time steps, according to a local, identical interaction rule. The state of a cell at the next time step is determined by the current states of a surrounding neighborhood of cells. The transitions are usually specified in the form of a rule table that defines the cell's next state for each possible neighborhood configuration. The cellular array (grid) is typically from one to three dimensions. Highly parallel, locally connected and using simple elemental units, cellular automata can perform so-called cellular computing. See state machine.

The Firefly
Constructed at the Swiss Federal Institute of Technology in Lausanne by Moshe Sipper and his colleagues, the Firefly machine is an FPGA-based hardware implementation of a cellular automaton which modifies its functioning dynamically. The system is based on the cellular programming approach, in which parallel cellular machines evolve to solve computational tasks. (Image taken by Andre Badertscher; courtesy of Dr. Moshe Sipper.)


(algorithm, parallel)cellular automaton - (CA, plural "- automata") A regular spatial lattice of "cells", each of which can have any one of a finite number of states. The state of all cells in the lattice are updated simultaneously and the state of the entire lattice advances in discrete time steps. The state of each cell in the lattice is updated according to a local rule which may depend on the state of the cell and its neighbors at the previous time step.

Each cell in a cellular automaton could be considered to be a finite state machine which takes its neighbours' states as input and outputs its own state.

The best known example is J.H. Conway's game of Life.

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Usenet newsgroups: news:comp.theory.cell-automata, news:comp.theory.self-org-sys.

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A cellular automaton generates a pattern by coloring each location on a grid according to a rule that takes into account the colors of neighboring locations.
One such technique applies a cellular automaton (CA) (12, 13) to identify and characterize emergent properties, such as congestion, in networks (14).
Driven by a PC, cellular automaton software locates areas prone to defects in a fraction of the time required by other methods.
 
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