Cellular Automata Networks

Cellular automata networks are models composed of a grid of cells, each with a specific state. The state of each cell updates over discrete time steps based on simple rules that consider the states of neighboring cells. This local interaction can produce complex patterns and behaviors, mimicking natural systems like traffic flow, biological processes, or pattern formation. Despite simplicity at the individual cell level, the overall network can exhibit rich, emergent phenomena, making cellular automata valuable tools for studying complex, dynamic systems across science and engineering.