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Analysis and Control of Evolutionary Games

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Abstract:
Whether humans in a community, ants in a colony, or neurons in a brain, simple decisions or actions by interacting individuals can lead to complex and unpredictable outcomes in a population. Research on these systems at a broader scale, perhaps subject to substantial simpli_x005F_x000c_cation of the agent-level dynamics, can help to characterize critical properties such as convergence, stability, controllability, robustness, and performance. For control scientists and engineers, these results facilitate the study of timely and challenging issues related to social, economic, and biological sciences from a control theoretic perspective. Evolutionary game theory has emerged as a vital toolset in the investigation of these topics. An extensive literature has emerged in the field of evolutionary game on networks, particularly regarding the question of how cooperation can evolve and persist under various conditions and in various population structures. In this talk, I will provide a brief survey of some recent results in the analysis and control evolutionary games and discuss some current challenges and open problems.

Type of Seminar:
Control Seminar Series
Speaker:
Prof. Ming Cao
University of Groningen
Date/Time:
Apr 23, 2018   17:15 h
Location:

ETZ E 8
Contact Person:

No downloadable files available.
Biographical Sketch:
Ming Cao is currently Professor of systems and control with the Engineering and Technology Institute (ENTEG) at the University of Groningen, the Netherlands, where he started as a tenure-track Assistant Professor in 2008. He received the Bachelor degree in 1999 and the Master degree in 2002 from Tsinghua University, Beijing, China, and the PhD degree in 2007 from Yale University, New Haven, CT, USA, all in electrical engineering. From September 2007 to August 2008, he was a postdoctoral research associate with the Department of Mechanical and Aerospace Engineering at Princeton University, Princeton, NJ, USA. He worked as a research intern during the summer of 2006 with the Mathematical Sciences Department at the IBM T. J. Watson Research Center, NY, USA. He is the 2017 and inaugural recipient of the Manfred Thoma medal from the International Federation of Automatic Control (IFAC) and the 2016 recipient of the European Control Award sponsored by the European Control Association (EUCA). He is an associate editor for IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems and Systems and Control Letters. He is vice chair of the IFAC Technical Committee on Large Scale Complex Systems. His main research interest is in autonomous agents and multi-agent systems.