Modeling complex systems with Cellular Automata

Social systems are usually modeled with Multi-Agent Systems (MAS). Our hypothesis is that Cellular Automata (CAs), simpler to program, simpler to tune and to interpret, can be sufficient to understand and analyze social phenomena (violence, segregation, discrimination, etc.). Actually CAs are much more flexible and their control rule by rule, allows to better follow the process itself