  Cellular automata represent physical systems where both space and time are
discrete, and the associated physical quantities assume a limited set of
values. While previous research has applied cellular automata in modeling
chemical, biological, and physical systems, its potential for modeling
topological systems, specifically network topologies, remains underexplored.
This paper investigates the use of cellular automata to model decentralized
network topologies, which could enhance load balancing, fault tolerance,
scalability, and the propagation and dissemination of information in
distributed systems.
