Structure is the way parts are connected to form a whole.

All systems are composed of parts and connections. The connections determine how the parts work together, which is what determines how the system behaves as a whole. The most important thing about a system is how it's structured. This is systems thinking’s deepest insight.

Diagram of patterns of structure

Above are some of the main patterns found in structures. From a structural thinking point of view it doesn't matter where a part (also called a node) is. It only matters what it is connected to. Connections are how one part influences another. Connections have direction. They may be one way or two way. A two way connection is actually two connections in opposite directions between two parts, such as gravity or friendship.

Why structure is important

If you're trying to solve a difficult social system problem then you can't take a normal approach. You must delve deeply into understanding the structure of the system involved, because that's the only way to solve the problem. This leads to a powerful principle:

Key Principle

The behavior of a system
emerges from the structure of its parts.

Memorize this and it will never fail you.

Structure must be modeled to correctly comprehend why a system behaves the way it does. There is no other way. For simple systems you can build a model in your head. For complex systems the model must be a physical one. Thus solving difficult complex system problems requires modeling so you can see the problem's structure clearly enough to solve it. This leads to a related principle:

Key Principle

If you don't understand the structure of a difficult problem, then you can't solve the problem.

The type of modeling most appropriate to the sustainability problem is system dynamics. This views the structure of a system as consisting of feedback loops made up nodes. Each node represents something in the real world. System dynamics models allow the logical behavior of the structure of a problem to be simulated. These simulations allows you to draw correct insights and conclusions from your models that the unaided mind is unable to do.

What's the most powerful structure in the world?

John Sterman, writing in Business Dyanmics: Systems Thinking and Modeling for a Complex World, said: (page 268)

Positive feedback loops are the most powerful processes in the universe.

They are. Even the expansion of the universe is due to a positive feedback loop. The expansion is accelerating. Exponential change is a hallmark of positive feedback loops, though we do not yet know the precise cause of the accelerating universe: “Models attempting to explain accelerating expansion include some form of dark energy, cosmological constant, quintessence, dark fluid or phantom energy. The most important property of dark energy is that it has negative pressure which is distributed relatively homogeneously in space.”

Getting a little more mundane, unsustainable growth of the human system's impact on the environmental is obviously due to a runaway positive feedback loop. It's so powerful it's unstoppable. So far.

Our challenge is the same as those working on the accelerating universe problem: to build a model that identifies the fundamental structure of the problem.

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What's the Critical Structure of the Sustainability Problem?

It's feedback loops. Hidden forces are the source of the problem. Modeling a system's feedback loops reveals these forces, because each feedback loop is either balancing system behavior (a balancing loop) or reinforcing it to make it grow or shrink (a reinforcing loop).

A potential roadblock is people are not accustomed to thinking in terms of feedback loops. They are normally never taught in school or college, unless you take a course in feedback modeling or a subject that uses feedback modeling.

Thus the situation we're in is the average person working on the sustainability problem has never learned how to see the critical structure of the problem, which is its important feedback loops. That's easily rectified. It takes only a little study of how feedback loops work, and perhaps a little sketching of a few causal loop diagrams.

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