MS (Master of Science)
Date of Award
Committee Chair or Co-Chairs
Thomas F. Laughlin, Christopher D. Wallace
The ant colony, known as a self-organized system, can adapt to the environment by a series of negative and positive feedbacks. There is still a lack of mechanistic understanding of how the factors, such as temperature and food, coordinate the labor of ants. According to the Metabolic Theory of Ecology (MTE), the metabolic rate could control ecological process at all levels. To analyze self-organized process of ant colony, we constructed an agent-based model to simulate the energy and population dynamics of ant colony. After parameterizing the model, we ran 20 parallel simulations for each experiment and parameter sweeps to find patterns and dependencies in the food and energy flow of the colony. Ultimately this model predicted that ant colonies can respond to changes of temperature and food availability and perform differently. We hope this study can improve our understanding on the self-organized process of ant colony.
Thesis - Open Access
Xiaohui, Guo, "An Agent-Based Model of Ant Colony Energy and Population Dynamics: Effects of Temperature and Food Fluctuation" (2014). Electronic Theses and Dissertations. Paper 2395. https://dc.etsu.edu/etd/2395
Copyright by the authors.