cellular_automaton


cellular_automaton, a MATLAB code which demonstrates the behavior of the 1D Cellular Automaton rule #30.

This program carries out iterations of the 1D cellular automaton known as rule 30.

Given an initial linear array of 0's and 1's, rule 30 produces a new array using transformations based on each value and the value of its left and right neighbors, as follows:

      111  110  101  100  011  010  001  000
       V    V    V    V    V    V    V    V
       0    0    0    1    1    1    1    0     
      
Note that there are 256 = 2^8 possible ways to fill in this output chart, and that rule 30 gets its index by the fact that (0,0,0,1,1,1,1,0) can be interpreted as the binary representation of 30.

For instance, if the current values of X(4), X(5) and X(6) are 0, 1 and 1, respectively, then the new value of X(5) will be 1.

The first and last entries of the array must be treated specially, since they don't have a left or right neighbor. One simple treatment is to assume that there are phantom neighbors whose values are both 0. Another is to enforce periodic boundary conditions.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

cellular_automaton is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

brownian_motion_simulation, a MATLAB code which simulates Brownian motion in an M-dimensional region.

cellular_automaton_test

random_walk_2d_simulation, a MATLAB code which simulates a random walk in a 2-dimensional region.

sir_simulation, a MATLAB code which simulates the spread of a disease through a hospital room of M by N beds, using the Susceptible/Infected/Recovered (SIR) model.

Reference:

  1. Stephen Wolfram,
    A New Kind of Science,
    Wolfram Media, 2002,
    ISBN13: 978-1579550080,
    LC: QA267.5.C45.W67.

Source Code:


Last revised on 15 December 2018.