Python Agent-Based Modelling and Simulation Frameworks

There are several Python packages that are particularly well-suited for agent-based modeling and simulation. Some of the most popular ones include:

1. Mesa: a library for building agent-based models that provides a flexible framework for building and running models, along with built-in visualization tools.
2. NetLogo: a popular modeling and simulation tool that includes support for agent-based modeling and includes a built-in programming language called NetLogo.
3. PyABM: a library for building agent-based models that provides tools for building and running models, as well as tools for analyzing and visualizing results.
4. MASON: a library for building multi-agent systems that provides support for agent-based modeling, along with tools for visualization and analysis.
5. SimPy: a library for discrete event simulation that provides support for modeling and simulation of systems with dynamic behavior, including agent-based models.

It is worth noting that these packages may be more or less suitable for different types of agent-based models, so it is important to carefully consider the needs of your specific application when choosing which tools to use.

This content was generated using OpenAI's GPT Large Language Model (with some human curation!). Check out the post "Explain it like I'm 5: What is ChatGPT?" to learn more.