In this exercise you will build a very basic simulation model containing a single agent type with only a single variable. The model you will build will consist of simple agents that have a wallet and the ability to randomly select another agent at each step and send them £1. If an agent has run out of money, they must wait until they receive more money before they can randomly send money again.
\nThe flow of the model is as such:
\nwallet parameter and fully connect them to all other agents. (only at beginning)if at any point a Simple Agent does not have money, it must wait until it receives money from another agent before it can resume sending.
\nThe Simudyne SDK uses a message passing framework to handle the communication between agents. It may differ from other frameworks you've used previously and this challenge will help you grasp the fundamentals of defining a model, agents, links, messages and actions with the Simudyne SDK.
\nThe output of this model is quite simple but is an example of how wealth distribution can emerge from a single simple set of interactions.
\nBelow is a starter project that contains the necessary files to get started as well as an answer key should you require any assistance or want to validate the results.
\n\n\tDownload Challenge Base Model\n\n\tDownload Answer Key\nThe exercise consists of 3 parts and should take no longer than 2 hours to complete:
\nEach section contains a set of numbered TODOs that you will need to complete in order to successfully complete the challenge.
Below is a diagram to help visualize the flow of money in each step, every step consists of a check to see if the agent has money, if true, then the agent sends £1 to another agent at random. Agents can receive multiple payments in a single step, but can only send 1 at a time.
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Click on your model, and you should see a dashboard like the image below:
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Notice that on the left hand panel you can now see the 2 input parameters that were defined in the Globals.
\nHit initialize and your console should be showing a single chart called wallet as below:
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Click the VIEW TYPE drop down menu in the top right that says Graphs and select the Network view option. You should be able to see a fully connected network of agents, if you hover over one of the agents, you should see that their starting wallet is set to 100:
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Because our graph is currently in an aggregate view and plotting the sum of all wallet variables on our agents, we want to change the view. Select 3 dots in the corner of the tile, go to Aggregation and select none
\n This is not quite a true ABM, but it's a great start for layering in more complex behaviors and interactions. You can extend this model however you see fit or use the same structure you just developed and apply it to another system of interest. Feeling confident in your abilities? Try a more difficult challenge here Synthetic Market Challenge.