Agent-Based Models with Python - An Introduction to Mesa

Learn agent-based modeling through a comprehensive tutorial series that teaches you to build complex simulations using Mesa, a Python-based modeling framework. Master the fundamentals of agent-based modeling by constructing a detailed Sugarscape simulation featuring trading agents in an interactive environment. Start with basic concepts and progress through setting up Google Colab, creating agent classes, and building dynamic landscapes where agents can move, consume resources, and engage in trading behaviors. Develop skills in initializing different types of agents, implementing step functions for sugar and spice mechanics, and programming sophisticated movement algorithms across multiple sessions. Explore advanced trading mechanisms between agents, including multi-part trading systems that simulate realistic economic interactions. Gain practical experience with data collection at both model and agent levels, learning to track and analyze simulation outcomes effectively. Complete the tutorial by mastering batch run capabilities for conducting multiple simulation experiments and drawing meaningful conclusions from your agent-based models.