Evolutionary Game Theory of Cooperation: From Cells to Societies
Jorge M. Pacheco
Mathematics and Applications Department, University of Minho, Portugal
The evolution of cooperation stands as one of the main inter-disciplinary challenges of the XXIst century. In this realm, evolutionary game theory provides a convenient mathematical framework in which to address this problem. Here I will review some of the main applications of evolutionary game theory to a wide variety of problems that humans face at present, all involving the dynamical interplay between conflict and cooperation. Starting from our increasing understanding of the ecology of cancer, I will also review recent advances in our understanding of how microbes use quorum sensing to communicate with each-other, how adaptive networks allow populations to cooperate globally, and how bottom-up approaches pave the way for overcoming the global governance challenge posed by Climate Change.
About the speaker: Jorge M. Pacheco (Oporto, 1958) is currently Professor of Mathematics at the Mathematics & Applications Department of the University of Minho (Portugal) and also a member of the Centre of Molecular and Environmental Biology at the same University. His background is in Theoretical Physics, with a degree from the University of Coimbra (Portugal) and a PhD degree from the Niels Bohr Institute, in Copenhagen (Denmark). He is active in a variety of research topics, ranging from many-body physics to the mathematical description of evolutionary processes such as human cancer, evolution of cooperation, urban development, global governance & complexity and complex networks.