Loading content
The cluster combines mathematical modeling, numerical simulation, and learning-based methods into an integrated competency area for analyzing and forecasting complex systems.
Scope: Description of simulation components, scenarios, parameter configurations, input and output variables, runtime metrics, result formats, metadata, and visualization and export chains within the modeling and learning context. Exclusion: Training algorithms, data preprocessing, experimental design, validation methods, and operational deployment. Inclusion covers structure definitions, interface formats, measurement metadata, and result taxonomies.
ABM models autonomous agents and their interactions to study emergent phenomena in complex systems.
System Dynamics is a model-based method for analyzing complex feedback processes in socio-technical systems. It visualizes stocks, flows and feedback loops to understand root causes of delays and nonlinear behavior.