Experiment with Artificial Societies and basic city generation. Visual inspired by Piet Mondrian's Broadway Boogie Woogie.
Cities are generated in a pseudo-random fashion from simple street patterns. Houses (white boxes) and markets (red boxes) are derived from streets (yellow). Each agent (or citizen) is allocated to a house, and moves randomly in the city. Agents increase their health finding food (i.e. in markets).
A Floyd algorithm ensures real-time pathfinding to lead each agents through a graph automatically deduced from the city structure. During their motion, agents use also a simple avoidance technique based on neighborhood occupation.
Simulation parameters: {city size, number of citizens}
Install Python 2.6 and above: https://www.python.org.
Install Pygame 1.9 package: http://www.pygame.org.
On command schell, execute: python mondrian.py.
- Add a Schelling segregation model to build neighborhoods.
- Schelling, Thomas C. (1978). Micromotives and Macrobehavior, Norton.
- Batty, Michael (2005). Cities and Complexity, understanding Cities with Cellular Automata, Agent-Based Models, and Fractals, The MIT Press.