My 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, and transmission of disease and even culture.

Development repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.

Ml Mesa Example and Development Code

Sugarscape in JavaScript!

python implementation of the sugarscape agent based model

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Stable, release-only repository for the Digital Terraria Lab implementation of the Sugarscape agent-based societal simulation.

Sugarscape JRuby simulation clone

A lean implementation of SugarScape in Python, optimized for experimentation

A simple agent-based implementation of Epstein & Axtell's sugarscape model.

Reproduction of Epstein & Axtell (1996)

SugarScape in Python

Sugarscape in C# - Cornell CS 4701 project

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).

A simulation of the book - Growing Artificial Societies: Social Science from the Bottom Up by Joshua M. Epstein and Robert L. Axtell (Brookings Institution Press/MIT Press, ISBN 0-262-05053-6). It's a report on using computers in "bottom-up" social sciences to simulate quite complex behavior with very simple rules.

A Project in the Lecture 'Regelbasierte Modelle' at the University of Osnabrueck (Germany)

A full representation of Sugarscape model with Repast Simphony

an 'artificially intelligent agent-based social simulation'.

a partial implementation of Epstein and Axtell's Sugarscape, for the Unity game engine

Agent based simulator of an economic system for an extension of the Sugarscape model

This model extends Epstein & Axtell's Sugarscape Wealth Distribution model, described in chapter 2 of their book Growing Artificial Societies: Social Science from the Bottom Up. More specifically, Uri Wilensky NetLogo implementation, licensed under a creative common license in 2009, is used as base for this implementation. The model extension allows pension laws and social services effects to be studied. The original simulation provides a ground-up simulation of inequality in wealth. Only a minority of the population have above average wealth, while most agents have wealth near the same level as the initial endowment. The inequity of the resulting distribution can be described graphically by the Lorenz curve and quantitatively by the Gini coefficient. The new graphical descriptions include among others: working and retired agents, savings in a pension piggy bank, working agents and retired agents in socially excluded, and agents who used social services.

Asynchronous SugarScape

R implementation of Sugarscape

Sugarscape Simulation

ISP demonstrating OOP through a Sugarscape model.

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Simulations sugarscape simulation

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implementation of sugarscape in c++. Using semantic twitter data to modulate an environment, controlling a swarm of hex bugs, for MIT's hacking arts 2017.