Scalable Sugarscape Simulation

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Welcome to the Sugarscape Agent-Based Model! This Python implementation is based on the Sugarscape model introduced in "Growing Artificial Societies" by Epstein and Axtell. It allows for simulating the behavior of agents in a dynamic environment where they collect and consume resources, interact with each other, and make decisions based on various decision models.

Features

• Implementation of the Sugarscape model with customizable parameters.
• Various decision models for agent decision-making.
• Dynamic environment with resource regrowth, pollution, and seasonal changes.
• Scalable simulations with HTCondor and Makeflow.
• Data collection and visualization capabilities.
• Easy-to-use interface with TkInter.

Requirements

• Bash
• Python 3
• TkInter

Usage

To run the simulation, simply execute the following command:

python sugarscape.py

For more advanced usage and options, refer to the Makefile options and JSON configuration file options in the documentation.