CLASSIFICAÇÃO DE REGRAS DE AUT^MATOS CELULARES ELEMENTARES APLICADAS EM REDES DO TUOI SMALLWORLD

Abstract

The Elementary Cell Automaton is a Complex Systems model capable of representing several natural phenomena, such as social, environmental and biological behavior. Some authors proposed classifying the rules that involve the Elementary Cell Automaton, which resulted in known classifications in the area. However, in some cases, the elementary structure is not suitable for problems involving network modeling. In this sense, this work aims to classify the elementary rules when changing the neighborhood structure of the Elementary Cell Automaton, consisting of SmallWorld type networks, which are used in modeling problems in Network Science. In this work, a sample of three SmallWorld networks was selected, after which the rules for each network were classified. The proposed alterations in the structure of the Cell Automaton produced different behavior and classification for the elementary rules. These changes can bring greater variability of rules for applications that use specific classes of the Elementary Cell Automaton.