A Complex Adaptive Systems approach to researching behavioral trends
Document Type Honors Thesis (Open Access)
Abstract
The goal of my research is to build a simulated ecology to study aggressive and friendly behavioral patterns in simulated humans. These simulated humans, or agents, interact on both personal and tribal levels as they obtain scarce resources from one another by sharing with or attacking others. The agents’ behaviors evolve to favor more successful strategies, as the agents that are most fit to survive in the simulated ecology will be the most likely to pass on their behavioral strategies to later generations.
This paper has been withdrawn.