Abstract

Agent-based simulation is a powerful technique used for simulating real-life situations. This method involves simulating individual agents and their interactions with each other and the environment. Several platforms, such as GAMA and MASON, are available for developing agent-based simulations. In this chapter, we present a case study that showcases the versatility of agent-based simulation across different domains. Through various scenarios, we demonstrate that this approach can be successfully employed in diverse areas, such as traffic modeling, understanding the behavior of drifting objects, and teaching the operation of a sugar mill boiler. These simulations can be built from the scratch or using development platforms, providing a unique approach to modeling complex systems. By using agent-based simulations, researchers can test different scenarios and understand how agents interact within a system, leading to valuable insights for decision-making and problem-solving.