Development repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.
A Java implementation of the Sugarscape agent-based simulation model, featuring complex demographics, decentralized trade, financial credit systems, and epidemiology.
Multi-agent simulation using LLMs. Agents autonomously decide actions for survival, reproduction, and social behavior in a grid world.This project aims to replicate a paper published in 2025 (arXiv:2508.12920).
Stable, release-only repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.
A lean implementation of SugarScape in Python, optimized for experimentation
Evaluation of strategies in an economic landscape
An object-oriented representation of Axtell & Epstein's SugarScape written in Java. SugarScape is an artificially intelligent agent-based social simulation.
A Python implementation of Epstein and Axtell's large scale agent-based computational model, the Sugarscape, to explore the role of social phenomenon such as seasonal migrations, pollution, sexual reproduction, combat, trade, culture, and transmission of disease.
A Python implementation of Epstein and Axtell's large scale agent-based computational model, the Sugarscape. Includes an implementation of Jeremy Bentham's Felicific Calculus as an option for decision-making.
Replication repository for "Policy Robustness Under Accelerating Automation: Evidence from a Sugarscape Agent-Based Model" — a Mesa agent-based model of redistribution policy under AI-driven labor displacement.
An interactive laboratory for cellular automata and agent-based models. Nutrient-limited bacterial colonies, Sugarscape, Lenia, Gray-Scott, spatial rock-paper-scissors. C simulation cores compiled to WebAssembly, with live measurement and swept phase diagrams.
Simulating crystallizers, propagators, and diffusers (three new patterns of human shapes) to see which organizational environments emerge.
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