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To determine if a causal loop is reinforcing or balancing, one can start with an assumption, e.g. "Variable 1 increases" and follow the loop around. The loop is: reinforcing if, after going around the loop, one ends up with the same result as the initial assumption. balancing if the result contradicts the initial assumption.
The causal loop diagram below shows escalation archetype as a single reinforcing loop. It can be read simply as that more action done by X creates bigger results of action done by X. The bigger results of X, the bigger difference between X and Y results. The bigger difference means more action by Y and more action by Y leads to bigger result of Y.
Any system can be drawn as a diagram set up with circles of causality – including actions, feedbacks and delays. [1] Reinforcing feedback (or amplifying feedback) accelerates the given trend of a process. If the trend is ascending, the reinforcing (positive) feedback will accelerate the growth. If the trend is descending, it will accelerate ...
The system described in the Growth and Underinvestment Archetype consists of three feedback loops. Each feedback loop can be one of two types: [1] Reinforcing loop A reinforcing loop is a type of a feedback loop, where a positive increase of variable A causes an increase in variable B, which then in turn causes a positive increase in variable A ...
Positive feedback (exacerbating feedback, self-reinforcing feedback) is a process that occurs in a feedback loop which exacerbates the effects of a small disturbance. That is, the effects of a perturbation on a system include an increase in the magnitude of the perturbation. [ 1 ]
Fig. 1: Causal loop diagram. In system dynamics this is described by a circles of causality (Fig. 1) as a system consisting of two feedback loops. One is the balancing feedback loop B1 of the corrective action, the second is the reinforcing feedback loop R2 of the unintended consequences. These influence the problem with a delay and therefore ...
A causal loop diagram is a simple map of a system with all its constituent components and their interactions. By capturing interactions and consequently the feedback loops (see figure below), a causal loop diagram reveals the structure of a system. By understanding the structure of a system, it becomes possible to ascertain a system's behavior ...
The causal loop diagram in Figure 1 shows the pattern dynamics of the system. [4] Figure 1. Causal loop diagram. The pattern of behaviour begins with the outer reinforcing loop R1 where A and B have formed a synergistic alliance that benefits both. An action taken by A in favour of B increases B's success and vice versa.