Building System Dynamics Simulations in AnyLogic

Understanding how complex systems behave over time is crucial for making informed strategic decisions in business, policy, and engineering. This text-based course guides you from absolute beginner to confidently constructing, simulating, and analyzing dynamic feedback systems. You will start by learning core system dynamics terminology, foundational definitions, and the principles of feedback systems before moving into practical model construction. Learn how to map real-world relationships, translate them into quantitative equations, and run experiments to observe long-term trends. What you'll learn: - Understand core system dynamics concepts, including stocks, flows, and feedback loops. - Create causal loop diagrams to map out complex real-world relationships. - Build functional simulation models from scratch using the AnyLogic interface. - Configure model variables, parameters, and table functions for realistic behavior. - Analyze simulation runs using built-in datasets to extract key insights. - Apply parameter variation and basic sensitivity analysis to test system resilience. Our structured written lessons walk you through the entire simulation workflow, combining theoretical explanations with step-by-step building instructions and code snippet examples. This course is designed for analysts, engineers, researchers, and students who are completely new to simulation, with no prior modeling experience required. Start reading today to unlock the power of system dynamics simulation.