Aditya Shetty *with applied heuristics Random Diffusion Limited Aggregation to simulate a Cellular Environment * Aditya Shetty *with applied heuristics

simulation explanation 2 files: diffusion_limited_aggregation2D_alt.m and determine_movement_alt.m. Run diffusion_limited_aggregation2D_alt.m with other file in same folder “Phyto” An autotrophic, solar-powered producer. It’s “goal” is to grow towards light. Every time step, one additional phyto is created through random Diffusion-Limited Aggregation models. “Bacterium” Gains energy by feeding on producers. Population increases from “harvesting” enough energy, and decreases by failing to increase energy. Movement is based on random probability, with special behavior for feeding. “Multi” Eliminates bacteria and is unaffected by energy of the system. Population remains at fixed random integer. Movement is based on random probability, with special behavior for feeding.

The model allows for the simulation of a light-source which affects the probability of growth in a direction. In this scenario, the light-source is on the top right. Initial Parameters: Refresh-Rate: 20 timesteps Timesteps: 2000 Bacterium Increase: 30 energy Bacterium decrease: 4 turns Initial Phyto: 100 Initial Bacteria: 37 Initial Multi: 37

Final Statistics: Bonus: Total Bacteria Destroyed: 147 Final Bacteria Count: 87 Thanks for watching! Bonus: Low Bacterium Increase(3 energy) - left High Bacterium Increase(100 energy) - right