Description: Modular Simulation is an approach to simulation that breaks down a complex system into smaller, more manageable modules. This method allows for the analysis and modeling of each component independently, facilitating the understanding of the system’s overall behavior. By dividing a system into parts, specific simulations can be conducted for each module, enhancing the accuracy and efficiency of the simulation process. Furthermore, Modular Simulation enables the reuse of modules in different contexts, saving time and resources in model development. This approach is particularly useful in systems where the interaction between components is complex, as it allows researchers and developers to focus on specific aspects without losing sight of the bigger picture. The integration of artificial intelligence in Modular Simulation further enhances its capabilities, allowing modules to learn and adapt to new conditions through machine learning algorithms. This not only improves the accuracy of simulations but also enables the creation of more dynamic and realistic models that can evolve over time.
