Development repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.
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Updated
Sep 1, 2026 - Python
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
An object-oriented representation of Axtell & Epstein's SugarScape written in Java. SugarScape is an artificially intelligent agent-based social simulation.
Evaluation of strategies in an economic landscape
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 Unity implementation of the Sugarscape model exploring emergent behaviour, culture, migration, reproduction, and pollution.
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.
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.
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 agent-based model of supplier lock-in in a spatial market
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