|
1 |
| -# mesa-schelling |
2 |
| -This is an example of the Schelling model written using Mesa |
| 1 | +# Schelling Segregation Model |
| 2 | + |
| 3 | +## Summary |
| 4 | + |
| 5 | +The Schelling segregation model is a classic agent-based model, demonstrating how even a mild preference for similar neighbors can lead to a much higher degree of segregation than we would intuitively expect. The model consists of agents on a square grid, where each grid cell can contain at most one agent. Agents come in two colors: red and blue. They are happy if a certain number of their eight possible neighbors are of the same color, and unhappy otherwise. Unhappy agents will pick a random empty cell to move to each step, until they are happy. The model keeps running until there are no unhappy agents. |
| 6 | + |
| 7 | +By default, the number of similar neighbors the agents need to be happy is set to 3. That means the agents would be perfectly happy with a majority of their neighbors being of a different color (e.g. a Blue agent would be happy with five Red neighbors and three Blue ones). Despite this, the model consistently leads to a high degree of segregation, with most agents ending up with no neighbors of a different color. |
| 8 | + |
| 9 | +## Installation |
| 10 | + |
| 11 | +To install the dependencies use pip and the requirements.txt in this directory. e.g. |
| 12 | + |
| 13 | +``` |
| 14 | + $ pip install -r requirements.txt |
| 15 | +``` |
| 16 | + |
| 17 | +## How to Run |
| 18 | + |
| 19 | +To run the model interactively, run ``run.py`` in this directory. e.g. |
| 20 | + |
| 21 | +``` |
| 22 | + $ python run.py |
| 23 | +``` |
| 24 | + |
| 25 | +Then open your browser to [http://127.0.0.1:8888/](http://127.0.0.1:8888/) and press Reset, then Run. |
| 26 | + |
| 27 | +To view and run some example model analyses, launch the IPython Notebook and open ``analysis.ipynb``. Visualizing the analysis also requires [matplotlib](http://matplotlib.org/). |
| 28 | + |
| 29 | +## Files |
| 30 | + |
| 31 | +* ``run.py``: Launches a model visualization server. |
| 32 | +* ``schelling.py``: Contains the agent class, and the overall model class. |
| 33 | +* ``server.py``: Defines classes for visualizing the model in the browser via Mesa's modular server, and instantiates a visualization server. |
| 34 | +* ``analysis.ipybn``: Notebook demonstrating how to run experiments and parameter sweeps on the model. |
| 35 | + |
| 36 | +## Further Reading |
| 37 | + |
| 38 | +Schelling's original paper describing the model: |
| 39 | + |
| 40 | +[Schelling, Thomas C. Dynamic Models of Segregation. Journal of Mathematical Sociology. 1971, Vol. 1, pp 143-186.](https://www.stat.berkeley.edu/~aldous/157/Papers/Schelling_Seg_Models.pdf) |
| 41 | + |
| 42 | +An interactive, browser-based explanation and implementation: |
| 43 | + |
| 44 | +[Parable of the Polygons](http://ncase.me/polygons/), by Vi Hart and Nicky Case. |
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