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Causal Loop Diagram is a relationship modeling technique used to capture understanding and overcome individual limitations. It involves representing entities and their influences on one another with simple diagrams. There are two main types of loops that can emerge from these diagrams: reinforcing loops that drive growth and balancing loops that represent goal seeking behavior. Causal loop diagrams are qualitative rather than quantitative representations intended to provide insight into the dynamics of a system through visualizing the relationships and feedbacks between elements.
Introduction to the Causal Loop Diagram (CLD) and relationship modeling.
Capturing understanding and overcoming limitations through qualitative relationship modeling.
Understanding elements, notations, and developing a Causal Loop Diagram.
Defining entities and influences; simplest CLD characterized by two entities and one influence.
Presentation of notation used in Causal Loop Diagrams.
Differentiating variables, instantaneous & accumulators; utilizing rectangles for stocks.
Exploration of loop types within Causal Loop Diagrams.
Introduction to the concept of a growth loop in systems.
Introduction to the concept of a goal-seeking loop in systems.
Discussing properties that arise from interactions within systems.
Insight into telling loops, balancing & reinforcing loops, and the qualitative nature of loops.
Invitation to join the Systems Thinking World community on LinkedIn.











