Causal Loop Diagrams

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A causal loop diagram (CLD) is a theoretical account of how different Variables in a system are causally related. It obeys specific rules on how to represent those different relationships, namely, on positive and negative causal relationships, and it focuses on representing these Feedback dynamics.

A CLD is useful as a theoretical tool amongst policy makers to aid the process of compiling and discussing the most important agents in a system, and the dynamics that contribute to their evolution in a qualitative way. Often these diagrams can then be used as a tool to initiate the development of a quantitative model - such as a computer simulation model - but is a good first step for understanding the dynamics of a system with experts or stakeholdersnot directly involved with model development.

It does not provide quantitative information of the behavior of a system; it may contain logically inconsistent information; it gets cluttered and hard to read as the model becomes more complex

Strengths

It is relatively simple to read, and it highlights important feedbacks, facilitating discussion.

Weaknesses

It does not provide quantitative information of the behavior of a system; it may contain logically inconsistent information; it gets cluttered and hard to read as the model becomes more complex

Example

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Cite this page:

Wohl, S. (2022, 12 June). Causal Loop Diagrams. Retrieved from https://kapalicarsi.wittmeyer.io/definition/causal-loop-diagrams-1

Causal Loop Diagrams was updated June 12th, 2022.

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