Mean Field Game (MFG) theory studies strategic decision problems in large populations of interacting agents, which is now widely applied in economics, financial markets, engineering, social science, and many other areas. The generalization of classical mean field game theory to the study of problems on networks that exhibit heterogeneity, bounded local connections, dynamic dependence, and uncertainties in structure is extremely important in terms of theoretical development and practical applications; it is the focus of the proposed workshop.
The objective of this workshop is to bring together researchers in applied mathematics, mean field games, network science, network games, and systems and control theory to exchange ideas and to work on the extensions of mean field game theory to dynamic game problems on heterogeneous large-scale networks. The expected outcome of the workshop is the significant development of the subject and consequently its enhanced progress in terms of mathematical theory, computational algorithms, and the applications methodologies of MFG on general networks. The workshop will offer a platform to present current results and stimulate discussions on the open challenges in this emerging field.
Tamer Başar, University of Illinois at Urbana-Champaign, USA
Dario Bauso, University of Groningen, Netherlands
Erhan Bayraktar, University of Michigan, USA
Theophile Cabannes, UC Berkeley, USA
René Carmona, Princeton University, USA
Fabio Coppini, University of Florence, Italy
François Delarue, University of Nice-Sophia Antipolis, France
Peter E. Caines, McGill University, Canada
Alex Dunyak, McGill University, Canada
Rinel Foguen Tchuendom, McGill University, Canada
Aditya Mahajan, McGill University, Canada
Levon Nurbekyan, University of California Los Angeles, USA
Shuang Gao, McGill University, Canada
Francesca Parise, Cornell University, USA
Minyi Huang, Carleton University, Canada
Daniel Lacker, Columbia University, USA
Mathieu Laurière, Princeton University, USA
Olivier Ley, Institut de Recherche Mathématique de Rennes (IRMAR), France
Yang-Yu Liu, Harvard University, USA
Roland Malhamé, Polytechnique Montréal, Canada
Yaroslav Salii, McGill University, Canada
Joao Saude, Systems and Robotics Institute in Lisbon, Portugal
Qingshuo Song, Worcester Polytechnic Institute, USA
Agathe Soret, Columbia University, USA
Ruoyu Wu, Iowa State University, USA
SUBMISSION OF ABSTRACTS
Participants who wish to make a presentation are invited to submit an abstract; talks will be added to the program as permitted by time constraints.
All confirmed speakers are requested to submit an abstract before September 17th.