Design of a Cyclone-Proofing Humanity Simulator Using Programmable Cellular Automata

In this work, the application of Programmable Cellular Automata (PCA) to model and forecast human survival during cyclones is investigated. Using Moore’s neighbourhood as the primary framework, the study takes into account important variables including wind speed, population density, time length, and closeness to cyclone pathways. To visualise the effect of different rules on a grid with randomly generated values, a species survival simulator is presented. This study tackles the important question of how humans survive natural disasters and offers insightful information about practical forecasts and mitigation techniques. The study presents a hypothetical use case for modelling cyclone-prone locations, the quantification of parameters, and the CA framework. Visualisations of simulation results are used to showcase the species survival simulator, highlighting its potential to improve resilience and reduce mortality during cyclones. In order to enhance the ecological validity of the simulator and support ecological research and conservation initiatives, future work will integrate real-world cyclone data.