#agent based modeling

I’ve been using AI to assist me with coding (R, in my case) since shortly after ChatGPT came out. In engineering, we tend to run off-the-shelf models that were of course written in some kind of code. Sometimes these are open access but often they are proprietary. The brutality of market discipline pretty much requires specialized off-the-shelf solutions in industry because customers are not going…

This agent-based stock market simulator, which was originally programmed in NetLogo and later moved to R, captures the behavior of the market in a statistical sense. Which is to say, it shows how multiple traders following logical strategies can add up to a whole lot of randomness and unpredictability. Also known as autoregressive conditional heteroscedasticity and/or generalized autoregressive…

climate, economics, and agent based models

This journal article is mostly over my head, but I found the introduction interesting. It talks about the use of equilibrium models most common in economics compared to emerging research into agent based models. Complexity and the Economics of Climate Change: a Survey and a Look Forward Excerpt: Mitigation and adaptation to climate change represent governance challenges of an unprecedented scale…

NetLogo and soil science

Here’s an example of NetLogo (a free agent-based modeling platform) applied to a soil science application. Soil organic matter dynamics are essential for terrestrial ecosystem functions as they affect biogeochemical cycles and, thus, the provision of plant nutrients or the release of greenhouse gases to the atmosphere. Most of the involved processes are driven by microorganisms. To investigate…