A Jupyter notebook exploring predator-prey dynamics through the lens of economic agency, using the Lotka-Volterra model.
This repository is configured for running a Jupyter notebook in a virtual environment.
- Python 3.11
- Virtual environment tools
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Create and activate a virtual environment:
python -m venv venv # On Windows: venv\Scripts\activate # On macOS/Linux: source venv/bin/activate
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Install requirements:
pip install -r requirements.txt
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Launch Jupyter notebook:
jupyter notebook
-or-
- Use any Jupyter notebook containers you are already comfortable with.
This notebook explores the relationship between economic agency and predator-prey dynamics, using wolves and sheep as metaphors for economic actors. The model is derived from the classic Lotka-Volterra equations, with modifications to explore behavioral economics concepts.
The notebook herein is derived from a notebook-based course material by J. M. Applegate of Arizona State University.
For academic references and detailed discussion of the model's derivation, please see the references section within the notebook itself.