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The cluster combines mathematical modeling, numerical simulation, and learning-based methods into an integrated competency area for analyzing and forecasting complex systems.
Contains formal model descriptions, model formats, structural and behavioral models, parameters, calibration and validation artifacts, metadata, interface definitions and standard exchange formats for versioning. The segment excludes simulation execution, experiment management, operational processes and training pipelines. Interface specifications, semantic definitions and mapping rules are included.
Causal Loop Diagrams visualize feedback loops and causal relationships in complex systems to uncover dynamics, leverage points, and unintended side effects.
A visual, hand-drawn method for representing complex systems, stakeholders and relationships to support problem understanding and stakeholder alignment.