“…Since their conceptualization by von Neumann [31] more than 60 years ago, cellular automata (CA) have proven their usefulness in applied sciences as adequate modeling tools in numerous scientific fields, such as epidemiology [21,33], demography [7,8,15], microbiology [23,24], traffic engineering [9], hydrology and geology [10,12,13,22,29], and numerous others [1,18,20,25], while in exact sciences much attention has been given to the complex spatio-temporal dynamics of these intrinsically simple discrete dynamical systems [6,26,[35][36][37]. In contrast to continuous dynamical systems such as ordinary and partial differential equations (ODE and PDE) that often allow to investigate the system's stability properties without having to solve the ODE or PDE, adequate conclusions about a CA's dynamical properties can mostly only be drawn from extensive computer simulations [17,35,37], except for the class of additive CA [34].…”