Swarm of Interacting Agents in Random Environments
Người báo cáo: GS. Max-Olivier Hongler

Thời gian: 14h thứ 4, ngày 18/10/2017
Địa điểm: Phòng Seminar tầng 5 nhà A6, Viện Toán học, 18 Hoàng Quốc Việt, Cầu Giấy, Hà Nội
Tóm tắt: Swarms of flocking birds, schools of fishes and similar collective evolutions  are due to specific mutual interactions which connect the  agents  forming  large societies. A natural mathematical approach to stylize such types of flocking phenomena is to study  the behaviour of the set of solutions of large systems of stochastic differential equations. As actual societies of agents may be either homogeneous, (agents are indistinguishable) or heterogeneous, (a small subgroup of agent act differently), the suitable mathematical frameworks will obviously also differ accordingly. In the seminar, I intend to construct analytically soluble models of swarm dynamics for both homo- and heterogeneous situations. These exactly soluble models explicitly unveil how, by suitably tuning external control parameters, mutual interactions may generate bifurcations from individual disorganized behaviors to stable collective spatio-temporal evolution patterns. Mean-field games and feedback particles filters are some recent mathematical tools which enter into the proposed mathematical  modelling.

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