Agent-Based Simulation Toolkit
A lightweight Python toolkit for building and visualizing agent-based models of complex adaptive systems.
An engineering project supporting the complex-systems research on this site: a small, composable Python toolkit for defining agents, grids/networks, and update rules, then running and visualizing agent-based simulations (like Schelling-style segregation models, opinion-dynamics models, and simple epidemic models) without the overhead of a full simulation framework.
The GitHub repository (linked above) is the source of truth for the code; this page is a project summary, not a mirror of the codebase.
This is placeholder seed content for taxonomy and layout QA — a real project write-up will replace it.