Modeling, Simulation & Learning
The cluster combines mathematical modeling, numerical simulation, and learning-based methods into an integrated competency area for analyzing and forecasting complex systems.
- Knowledge domains
- /Thematic areas
- /Segments
- /Building blocks
Double-Loop Learning
An organizational concept that goes beyond symptom-level fixes by questioning underlying assumptions and governing rules, enabling systemic improvement and sustained learning.
Organizational Learning
An approach by which organizations systematically create, share and use knowledge to increase adaptability and performance.
Causal Loop Diagrams (CLD)
Causal Loop Diagrams visualize feedback loops and causal relationships in complex systems to uncover dynamics, leverage points, and unintended side effects.
Rich Pictures
A visual, hand-drawn method for representing complex systems, stakeholders and relationships to support problem understanding and stakeholder alignment.
Retrospectives
Facilitated team meeting for continuous improvement of processes, collaboration, and outcomes.
Scenario Planning
Structured method for developing plausible futures to improve strategic decisions under uncertainty.
Agent-Based Modeling (ABM)
ABM models autonomous agents and their interactions to study emergent phenomena in complex systems.
System Dynamics Modeling
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.