Game Theory Seminar | The genetic architecture of competition and cooperation

Abstract

This presentation centers on the examination of models employed to depict both biological competition and cooperation. We will commence our discussion by delving into the Lotka-Volterra Equation and its classical generalization, highlighting the core concepts and appraising their merits and demerits. Subsequently, we will propose the Quasi-dynamic Ordinary Differential Equation Model and the measure of interspecific interaction incorporating the basic principles of evolutionary game theory in nature. In the final segment, we will utilize real-world data as a case in point. Leveraging the aforementioned model, we will construct an intricate, information-rich, and dynamic network, aptly termed the Informationally Dense Omni-directional and Personalized Network (IDOP Network). This practical application will serve as a litmus test for the viability and accuracy of the model. By exploring these models and their practical implications, we hope to gain a deeper understanding of how competition and cooperation shape the biological world, ultimately shedding light on the intricate mechanisms that govern life.