Description of the problem Fire modeling is a critical aspect of understanding and predicting the behavior of wildfires.Recent advances have allowed for the development of various modeling approaches, including zone and

field models, partial differential equation-based models, and machine learning algorithms. These models aim to not only predict the spread of fire over solid surfaces but also the generation and spread of toxic fire products such as carbon monoxide. Accurate fire modeling is crucial for assessing the risk and impact of wildfires. However, despite the progress made in fire modeling, there are still challenges that need to be addressed. One challenge is the accurate prediction of fire spread in different environments, including both homogeneous and inhomogeneous settings. Another challenge is the integration of geographic information systems with cellular automata techniques to develop more accurate fire behavior models. Furthermore, uncertainties stemming from mathematical models, approximations in numerical solutions, processor limitations, and the difficulty of providing accurate input values contribute to the disagreement between real and simulated fire spread (Abdalhaq et al., 2006). These challenges highlight the need for ongoing research and evaluation of fire modeling approaches./nDescription of the work to develop I intend to develop a cellular automata to model fire propagation. A two-dimensional or three-dimensional cellular automata in which different cells represent different parameters, the parameters that i want to represent are: Wind, type of vegetation, terrain, wind direction and fuel. The choice of language to use at work is still unknown but I am considering the following languages: Python - C Netlogo Java R And others that I am considering using. References 1. Abdalhaq, B., Cortés, A., Margalef, T., Bianchini, G., & Luque, E. (2006, July 1). Between classical and ideal: enhancing wildland fire prediction using cluster https://scite.ai/reports/10.1007/s10586-006-9745-4 computing.