MATLAB Implementation of Cellular Automata for Knowledge Propagation Simulation

MATLAB source code for cellular automata simulation featuring state evolution rules: 1) A cell with state 0 transitions to state 1 with probability a×b when it has neighboring cells in state 1, where transition probability increases with more state-1 neighbors; 2) A cell with state 1 maintains its state unchanged. Simulation uses a 50×50 grid with initial propagator at center cell (25×25), Moore neighborhood configuration, and runs for 50 time steps to generate knowledge propagation visualization.