General APIs

CellularAutomaton(rule::AbstractODRule, initial_conditions, generations)
CellularAutomaton(rule::AbstractTDRule, initial_conditions, generations)

Constructs the evolution of a cellular automaton based on a specified rule, initial conditions, and the number of generations to simulate. This function supports both one-dimensional (OD) and two-dimensional (TD) cellular automata, determined by the type of rule provided.

Arguments

• rule: An instance of AbstractODRule for one-dimensional cellular automata or AbstractTDRule for two-dimensional cellular automata. Defines the evolution rule for the cellular automaton.
• initial_conditions: An array (for OD) or a matrix (for TD) representing the initial state of the cellular automaton.
• generations: The number of generations (or time steps) for which the automaton should be evolved.

Usage

For a one-dimensional cellular automaton:

rule = DCA(30)  # Define or instantiate a one-dimensional rule
initial_conditions = [0, 1, 0, 1, 1, 0, 1]  # Initial state array
generations = 50  # Number of generations to simulate
automaton_od = CellularAutomaton(rule, initial_conditions, generations)

For a two-dimensional cellular automaton:

rule = Life(((3,), (2, 3)))  # Define or instantiate a two-dimensional rule
initial_conditions = [  # Initial state matrix
    [0, 1, 0],
    [1, 0, 1],
    [0, 1, 0],
]
generations = 50  # Number of generations to simulate
automaton_td = CellularAutomaton(rule, initial_conditions, generations)

This function constructs a CellularAutomaton instance that encapsulates the entire evolution history of the cellular automaton, according to the provided rule and initial conditions over the specified number of generations. The exact nature of the evolution—whether it is for a one-dimensional or two-dimensional automaton—depends on the type of rule supplied.

You can access the evolution by calling the evolution field of CellularAutomaton

automaton_td.evolution

Notes

• The rule parameter determines the dimensionality of the cellular automaton. Ensure that your initial_conditions and rule are compatible in terms of dimensions.