sugarscape

My implementation in Python of Epstein and Axtell's large scale agent-based computational model, the Sugarscape, to explore the role of social phenomenon such as seasonal migrations, pollution, sexual reproduction, combat, and transmission of disease and even culture.
In other words: Cellular Automata + Agents = Sugarscape.

Results

Evolution from random distribution under rules ({environment}, {agents}) = ({G1}, {M}):

Emergent diagonal waves of migration under rules ({G1}, {M}):

Seasonal migration and Hibernation resulting from rules ({S[1,8,50]}, {M}) and random distribution of agents:

Societal evolution through crossover of Genetic Attributes in Sexual Reproduction under rules ({G1}, {M, S}) coloring by agent vision:

Cultural transmission by tag-flipping under rules ({G1}, {M, K}) coloring by tribes:

Combat between two tribbes under rules ({G1}, {Cinf}), with various outcomes: a) coexistence between Blue and Red b) Red dominance c) Blue dominance:

Trench war and front line between two tribes fighting under rules ({G1}, {C2, R[60, 100]}) coloring by tribes:

Combat eliminates waves under rules ({G1}, {C2}):

Combat and Cultural Transmission under rules ({G1}, {Cinf,K}):

A realization of the Proto-History under rules ({G1}, {M,S,K}) and random distribution of agents, showing: migration, spatial segregation, mating, cultural transmission and finally tribes interaction such as collisions, penetrations, and conversions producing complex social histories :

Instructions

Install Python 2.6 and above: https://www.python.org.
Install Pygame 1.9 package: http://www.pygame.org.
On command schell, execute: python sugarscape.py.
Edit sugarscape.py and uncomment settings for the wanted simulation, run again.

Available controls during simulation:

• [F1] : show current agents population.
• [F2] : show current agents whealth histogram.
• [F3] : show current agents metabolism and vision mean values.
• [F12] : start / pause / resume simulation.

Todo

• Trading rules.
• Diseases.

Reference

• Schelling, Thomas C. (1978). Micromotives and Macrobehavior, Norton.
• Epstein, Joshua M.; Axtell, Robert L. (1996). Growing Artificial Societies: Social Science From the Bottom Up, MIT/Brookings Institution.