Nice model! Not bad. One aspect we could try to model is the distribution of supply chains in a globalized world. In 2021 the average gross income in the US was about 70,430, in Taiwan 21,689, in China 11,890, in India 2170, and in Myanmar 1,140. Supply chains of companies in a world where income differs so much will obviously end sooner or later in low income countries. Typical supply chain lines for Apple are for instance Apple (California) > TSMC (Taiwan) > Factory (Guangdong Province, China) or Apple (California) > Foxconn (Taiwan) > Factory (Henan Province, China).How are supply chains affected if transportation costs rise or tariffs are imposed?What would cause a world-wide economic crisis in such a model and how would it look like? One of the most famous models on a global scale is the world3 model from the Club of Rome. Brian Hayes decided to rewrite the world3 model in Javascripthttp://bit-player.org/limitsThe article is herehttps://www.americanscientist.org/article/computation-and-the-human-predicament-J. -------- Original message --------From: Pieter Steenekamp <[email protected]> Date: 5/1/25 7:48 PM (GMT+01:00) To: The Friday Morning Applied Complexity Coffee Group <[email protected]> Subject: [FRIAM] agent-based macroeconomic model I made a very "quick and dirty" start on developing an agent-based macroeconomic model.Posted about it on X: https://x.com/pietersteenekam/status/1917995128678986170 , the post reads as follows:Me: “Let’s understand global macroeconomic policy better.”Also me: Builds a crude ABM with AI because economists can’t agree on tariffs.Is it useful? Not yet.Is it cool? Heck yes.🔗 https://github.com/pieterSteenekamp/bottom-up-macroeconomics";
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