Agent-Based Modeling and Simulation in System Safety and Risk Management

Agent-Based Modeling (ABM) is a method of computational modeling that simulates the behaviors and interactions of autonomous agents to analyze the effects of these behaviors on the overall system. This chapter provides an exploration of ABM and its application in System Safety and Risk Management. Beginning with an introduction to ABM, including its fundamentals and definitions, the chapter explains the basic principles of ABM, highlighting its advantages over other modeling techniques. The applicability of ABM to Sociotechnical Systems is discussed, emphasizing its relevance in complex real-world scenarios. Furthermore, the chapter outlines the steps involved in developing an ABM, along with considerations regarding parameters, variables, and model validation. A section is dedicated to examining the diverse applications of ABM in safety and risk assessment, showcasing its effectiveness in understanding system dynamics and emergent behaviors. However, the chapter also addresses the challenges and limitations associated with ABM, including issues related to model validation and complexity. In summary, this chapter underscores the importance of ABM as a powerful tool for simulating complex systems and managing risks effectively. Despite its challenges, ABM offers valuable insights into system safety and risk dynamics, paving the way for enhanced decision-making and improved safety measures in various domains.