Mean Field Games (MFG) is new and challenging mathematical topic which models the dynamics of a large number of interacting agents. It has many applications: economics, finance, social sciences, engineering,.. MFG are at the intersection of mean field theory, optimal control and stochastic analysis, calculus of variations, partial differential equations and scientific computing. Based on the internationally recognized expertise of its teams, the project intends to achieve major breakthroughs in 4 directions: the mean field analysis (i.e., the derivation of the macroscopic models from the microscopic ones); the mathematical analysis of news MFG models; their numerical analysis; the development of new applications. In this period of quick and worldwide expansion of the MFG modeling, it intends to foster the French leadership in the domain and to attract new French researchers coming from related areas.
Monsieur Pierre Cardaliaguet (Centre de Recherche en Mathématiques de la Décision et de la Modélisation)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
CEREMADE Centre de Recherche en Mathématiques de la Décision et de la Modélisation
IRMAR Institut de Recherche Mathématique de Rennes
UNS - LJAD Université Nice Sophia Antipolis - Laboratoire J.A.Dieudonné
LMPT-CNRS Laboratoire de Mathématiques et Physique Théorique
Help of the ANR 299,160 euros
Beginning and duration of the scientific project:
September 2016
- 48 Months
