A Cellular Automata Approach to Population Modeling

This project provides an agent-based model of the effects of temperature on population growth and change using a 2D cellular automata algorithm to predict behavior. The purpose of this project is to demonstrate how the behavior of a group is dependent on the interactions between individual group members, and to show that a cellular automata approach is valid in modeling ecosystem behavior. It models a system in which temperature and population changes have mutual effects on one another, and another in which a population’s interactions cause a virus to be spread. The use of cellular automata as agents has not been thoroughly explored, and it is hoped that this research will be useful to researchers in the field of computer modeling as well as those of ecosystems science and biology