The problem with microworlds is that too often people simply learn to play the game and the deeper lessons associated with the underlying structure and its associated patterns of behavior are completely missed. It is more appropriate for people to build and work with models to develop a deeper understanding of the relationships and then relate them to family, community, school and the world.

The predicament forcing us toward virtual collaboration and our learning about relationships is hopefully encouraging us toward the systemic perspective.

Examples of Systems.

You've probably heard the comment "It's the economy stupid!" Well I've finally concluded that when it comes to the economy "It's stupidity stupid!" might be a more appropriate phrase.

Causal loop diagrams are more rigorous than rich pictures though are still only contain a very few elements with well defined rules for connecting them.

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In this piece, we explore the counter intuitive nature of systems where the best of intentions to address the homelessness situation using the most expedient approach is likely to make things even worse.

Network Magic is high tech start up growing rapidly and having difficulty developing resources to respond to customer demand.

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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.

A system is an entity that the existence of which is maintained via the mutual interaction of its parts and which demonstrates characteristics not exhibited by any of its parts.

​Example of using a Macro as a counter. See the comment on Counter for a definition of the Macro then run the simulation to see the counter in action.

One of the four basic model forms presented by Hannon & Ruth in Dynamic Modeling.

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A Systems Archetype has a very well defined structure that produces a characteristic pattern of behavior and there are well defined strategies for dealing with the structure.

Simple reinforcing loop causal loop diagram.

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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.

This structure show the potential benefit from the development of a knowledgebase to support performance. With this potential benefit why is it so difficult for it to happen. What loops might be missing here.

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An infinite number of mathematicians walk into a bar. The first one tells the bartender he wants a beer. The second one says he wants half a beer. The third one says he wants a fourth of a beer. The bartender puts two beers on the bar and says “You guys need to learn your limits.” From Wild About Math.

A description of the essence and limitations of analysis.

Storytelling allows you to build a display sequence for an insight so it can be unfolded to tell the story of the model. You can sequence primitive visibility, messages and javascript actions to unfold the story of the model.

The simple diet SFD simulation elaborated to indlcue calories, calorie reduction and metabolism.

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Inventory Model v4.0 calculates min days inv & max days inv and makes adjustments for desired service level. See also: Inventory Model v3.0.

An escalation structure results from two or more competing entities with the competition taking them to somewhere none of them want to be. See also Archetypes.

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