minmax for conway's game of life in matlab

To implement the MinMax algorithm for Conway's Game of Life in MATLAB, the following approach can be taken:

  1. Define the initial state of the grid using a matrix, where each element represents a cell in the grid.
  2. Apply the rules of the game to generate the next state of the grid.
  3. Repeat step 2 until a stable state or oscillating pattern is reached, or until a certain number of iterations have been reached.

In order to apply the MinMax algorithm to this process, we need to keep track of the minimum and maximum values of the grid at each step. This can be done using the min and max functions in MATLAB.

Here is an example code that implements the MinMax algorithm for Conway's Game of Life:

main.m
% Define initial state of the grid
grid = [0 0 0 0 0 0 0;
        0 0 1 0 0 0 0;
        0 0 0 1 0 0 0;
        0 1 1 1 0 0 0;
        0 0 0 0 0 0 0;
        0 0 0 0 0 0 0;
        0 0 0 0 0 0 0];

% Set number of iterations
num_iterations = 100;

% Initialize minimum and maximum values
min_values = [];
max_values = [];

% Apply rules of the game for a certain number of iterations
for i = 1:num_iterations
    % Calculate next state of grid
    next_grid = zeros(size(grid)); % Initialize next grid
    for r = 1:size(grid, 1) % Loop over rows
        for c = 1:size(grid, 2) % Loop over columns
            % Count number of alive neighbors
            num_neighbors = sum(sum(grid(max(1,r-1):min(size(grid,1),r+1), max(1,c-1):min(size(grid,2),c+1))) - grid(r,c));

            % Apply rules of the game
            if grid(r,c) == 1 && (num_neighbors < 2 || num_neighbors > 3)
                next_grid(r,c) = 0; % Cell dies
            elseif grid(r,c) == 0 && num_neighbors == 3
                next_grid(r,c) = 1; % Cell is born
            else
                next_grid(r,c) = grid(r,c); % Cell stays the same
            end
        end
    end

    % Update minimum and maximum values
    min_value = min(min(next_grid));
    max_value = max(max(next_grid));
    min_values = [min_values min_value];
    max_values = [max_values max_value];

    % Check for stable state or oscillating pattern
    if isequal(grid, next_grid)
        fprintf('Stable state reached after %d iterations\n', i);
        break;
    elseif i > 1 && isequal(next_grid, old_grid)
        fprintf('Oscillating pattern reached after %d iterations\n', i);
        break;
    end
    
    % Update grid and continue iterating
    old_grid = grid; % Save previous grid
    grid = next_grid; % Update current grid
end
1800 chars
56 lines

In this code, the minimum and maximum values of the grid at each step are stored in the min_values and max_values vectors, respectively. The code also checks for a stable state or oscillating pattern, and stops iterating if either is reached.

gistlibby LogSnag