Anzhi Sheng - Evolutionary game dynamics on complex networks скачать в хорошем качестве

Anzhi Sheng - Evolutionary game dynamics on complex networks

Speaker: Anzhi Sheng, KTH Royal Institute of Technology Title: Evolutionary game dynamics on complex networks Bio: Anzhi Sheng is a Postdoctoral Fellow in the Division of Decision and Control Systems and the Department of Mathematics at KTH Royal Institute of Technology. He received his Ph.D. in 2025 from Peking University, China. From 2022 to 2024, he was a visiting researcher in the Department of Biology at the University of Pennsylvania. His research interests lie in evolutionary game theory, network science, and their interplay. He has contributed to understanding the emergence of cooperation and altruism on complex networks, including temporal and higher-order networks. He is also interested in applying mathematical models to reproduce statistical properties observed in empirical network datasets. Abstract: Evolutionary game theory provides a powerful framework to study strategic interactions in biological, social, and technological systems. When spatial structure is introduced, the interplay between local interactions and global dynamics can lead to rich and sometimes counterintuitive outcomes, often in contrast to classical results from game theory. In this talk, I will present recent advances in evolutionary game dynamics on networks, with an emphasis on how structural heterogeneity, higher-order interactions, and stochastic effects shape the emergence and stability of cooperative behavior. I will discuss classical results such as conditions for cooperation on graphs, as well as recent progress on dynamics in hypergraphs, which capture group interactions beyond pairwise links. This talk will provide both a conceptual overview and insights into ongoing challenges at the intersection of evolutionary dynamics and network science.