It's relatively well understood that you can't be all things to all people. Somewhere one has to make choices. An Attractiveness Principle Systems Archetype is essentially a Limits to Growth Systems Archetype with multiple limits, all of which can not be addressed equally.
When the relevant interactions are identified it's appropriate to identify which elements are the responsibility of which stakeholders, which elements are part of the addressable interactions and which elements are part of the environment.
The goal seeking structure endeavors to bring a balance between a current state and a desired state. This is one of the two foundation archetypes. The other being the growth structure. See also Archetypes.
The numerous Systems Archetypes popularized by Peter Senge, and others seem to be the source of great confusion for many. In response to this Eric Wolstenholme has endeavored to simplify the System Archetypes by mapping them to four generic archetypes.
Investigating the behavior of several variables over time has probably raised more questions than answers. As such now it's time to investigate what else might be influencing the trending of these variables.
When the typical approach doesn't work we tend to rely on our tried and true problem solving approaches, which as you will see really aren't that good.
Simple bathtub model to show the difference between Stock and Flow. Run the model with various values for filling and draining to see the implications.
Based on 1990 SDR Article. Control systems act to make their own input match internal standards or reference signals. Competent control systems create illusions of stimulus response causality. Stimulus-response theory can approximate the relationship between disturbance and action, but it can't predict the consequences of behavior. These consequences are maintained despite disturbances. See also Double loop learning and Nurse Thinking Insights.
Use a bathtub model to investigate the manner in which inflows and outflows govern the quantity of a stock. Extend the structure to create and investigate the relationships of a goal seeking balancing loop.