A high-order game theory of complex systems
Organizers
Speaker
Time
Wednesday, October 18, 2023 2:00 PM - 3:45 PM
Venue
Shuangqing-B725
Abstract
Interactions among the underlying units of a complex system are not limited to dyads, but can also occur in larger groups. However, no generic model for capturing both lower- and high-order interactions has been developed, making it impossible to chart a comprehensive picture of internal workings within complex communities. Here, we propose a new norm of statistical mechanics derived from the integration of evolutionary game theory and behavioral ecology theory to encode all units (nodes) and their bidirectional, signed, and weighted interactions (including links and hyperlinks) at various orders into hypernetworks. We apply our method to multi-species microbial communities, showing that the method can distinguish between how pairwise interactions modulate the abundance of the third species and how the altered abundance of each species in turn governs interactions between other species and further predict the eco-evolutionary trajectories of community structure and behavior. We validate the new method by designing a series of in vitro mono-, co-, and tri-cultural experiments of three bacterial species. Our hypernetwork model paves the way for inferring a detailed network fundamental to complex systems (joint work with Li Feng, Shen Zhang, Chengwen Xue, Shuo Li Liu, Ang Dong, Christopher H. Griffin, and Shing-Tung Yau)
Speaker Intro
Rongling Wu, received a Ph.D. in Quantitative Genetics from the University of Washington (Seattle) in 1995. He was a Distinguished Professor of Statistics and Public Health Sciences at Pennsylvania State University, and Director of the Center for Statistical Genetics. He is currently the Zeng Siming Chair Professor of Yau Mathematical Sciences Center, Tsinghua University. He is also a researcher at Yanqi Lake Beijing Institute of Mathematical Sciences and Applications, and also serves as editor-in-chief, associate editor, special editor and editorial board member of several journals in the fields of genetics, bioinformatics and computational biology. He was selected as a fellow of the American Association for the Advancement of Science and the American Statistical Association, and won the Distinguished Researcher Award of the American Institute of Applied Mathematics and Statistics (SAMSI), the University of Florida Research Fund Professor Award, the Pennsylvania State University Distinguished University Professor Award, and the Floyd Science Innovation Award. Research interests include: developing interdisciplinary statistical methods to reveal the genetic control mechanisms of complex traits and human complex diseases. The proposed functional mapping method can effectively discover the genetic rules of trait development and describe the key patterns of gene effects changing over time and space. Combining functional mapping with evolutionary game theory, scale theory, and prey-predator theory, a series of computational methods have been developed to construct multi-level, multi-space, and multi-scale genotype-phenotype relationships from molecules to phenotypes The three-dimensional network provides analysis tools for systems biology, systems medicine, and systems pharmacology research. Published more than 400 SCI papers in important international journals such as Nature Reviews Genetics, Nature Communications, PNAS, Journal of the American Statistical Association, Annals of Applied Statistics, Physics of Life Reviews, Physics Reports, Briefings in Bioinformatics, Cell Reports, Evolution, etc. The research results have been cited or highlighted by important journals such as Science and Cell.