Overview

Evolutionary anthropological phenomena involve numerous interwoven variables, making it difficult to predict outcomes based solely on intuition or fragmented empirical data. This group formalizes abstract evolutionary theories into rigorous mathematical equations and algorithms to simulate cultural transmission and biological dynamics. Utilizing our core methodologies—Agent-Based Modeling (ABM) and evolutionary game theory—we conduct virtual experiments to observe how the microscopic behavioral rules of individuals, given specific environmental stresses or infectious disease risks, emerge into macroscopic population dynamics or spatial patterns. By combining complex systems simulations with traditional mathematical models, we bridge the gaps in empirical data and provide novel theoretical predictions regarding the evolutionary mechanisms of human behavior. 

Associated Projects (Latest)

1. Evolutionary Modeling of Behavioral Immunity: Integrating Behavioral Immunity with the SIR Model (Ongoing with expansion)
2. Evolutionary Modeling of Subfecundity: Evolution of Adolescent Subfecundity in Humans (Ongoing)