Autômatos Celulares e Sistema Multiagente para Simulação da Propagação de Doenças

This paper presents a study of computational epidemiological models, focusing models types Susceptible-Infected-Removed, discussing some strategy of solution for computational simulation of the spread of hypothetical communicable diseases. It is shown that models based on cellular automata type Lattice Gas Cellular Automata has likened the solution obtained by multi-agent system, unlike models in diffusive cellular automata. The results of the literature as well as those resulting from this work, point out that such an approach can simulate the dynamics of a variety of ecological, biological and physical phenomena. But also indicate that more consistent results with actual data may depend the development of models that add other features, such as interaction between individuals and the environment and the heterogeneity of the relational system of contacts.