At this stage it is essential to understand and admit that the task at hand completely overwhelms the current methods. The way forward lies in realizing the essential nature of collaboration and the need for an integrated tool set to support collaboration. Even with that as the realization, current understanding indicates that the integrated tool set necessary to support the needed collaboration simply does not exist. And, not only does it not exist, it is most likely beyond the resources of any one vendor to provide it if they wished. So what are the options?

Purpose: Employ the Mono Lake model adapted from "Modeling the Environment" by Andrew Ford as a basis for developing a set of guidelines to support asynchronous multi-user model development.

Mono Lake is an ancient inland sea on the eastern side of the Sierra Nevada. From a policy point of view Mono Lake is the story of how a handful of people began a campaign to save a dying lake

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Time Settings are used to define the simulation start time, duration, and the step size used from one calculation to another.

It's now time for the stakeholders to take the investigation resulting from leverage and craft a strategy which will address the current situation in a manner that is beneficial to the whole system.

There are things we can influence and usually a broader array of things we are concerned about though can't influence. It's important to know the differerence otherwise we waste our energies trying to change things we have no influence over. 

This is an example of how to use Folders to enfold insights so others can unfold them later and develop an understanding of the relationships.

Mouse over elements for additional information.

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This model was simply to depict the various function groups on the Make an Insight screen.

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Drifting Goals archetype for pressure to lower standards impacting efforts to reduce pollution and improve current air quality.

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This is my first attempt at creating a simple Agent Based Simulation Model. Nothing fancy, just something that works.

This is a model used to generate the historical patterns of behavior for the Network Magic example.

Video

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.

A random walk demonstration using an ABM. As individuals drink more they become more intoxicated and their walk becomes more random. And when they drink to much it finally kills them.

A model demonstrating the various options that are available for the Link primitive.

This model depicts the relationship responsible for a declining sales goal scenario. This is an example of a Drifting Goals Systems Archetype.

Keep as an example of what we had to do before Storytelling?

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While all things are related for a particular situation all things are not relevant. We need to develop a simplified model of reality which depicts those interactions which are responsible for the patterns of behavior and current situation. We want the simplest model which enables the requisite understanding. This is no easy task though.

How we know what we know.

The calorie reduction model elaborated to include weight implications.

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

Supply and Demand tend to oscillate back and forth through Price.

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A simple agent based foraging model. Consumer agents will move between fertile patches consuming them.

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Use a savings account 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 growth producing reinforcing loop.

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Discussion groups, or bulletin boards if you prefer, come in numerous forms though for all their forms they are all pretty much the same. And, if you've found your way here then you probably belong to one or more of them.

Supply and Demand tend to oscillate back and forth though Price.

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Often times there are a number of parameters in a model you want to set to specific values and run the model to demonstrate a particular behavior. When there are several variables involved remembering the setup is often difficult and takes time. And can you demonstrate the behavior when you're not there? Developing scenarios with Button scripts is a quick way to overcome these difficulties.