We are very excited to announce the next talk of the series “Games, Decisions & Networks”, which will be given this Friday, April 23rd at noon 12:00 PM EST by Prof. Jason R. Marden (UC Santa Barbara). Please find the talk information as follows:
Title: The Value of Information in Multiagent Coordination
Abstract: The goal in any multiagent system is to derive desirable collective behavior through the design of admissible control algorithms. Here, the admissibility of a given control algorithm is often predicated on the information that is available. This talk will cover three recent results that focus on characterizing how the level of informational availability impacts the achievable performance guarantees in multiagent coordination problems. Our first result focuses on the design of incentive mechanisms to influence and improve societal behavior in congestion games. Here, we will demonstrate how information pertaining to both the infrastructure and population impacts the ability of a societal planner to successfully influence the collective behavior. Our second result shifts attention from influencing societal systems to designing networked engineering systems. Here, we will focus on characterizing how a limited degree of inter-agent communication can be exploited to significantly improve the efficacy of the resulting stable behavior for a class of distributed submodular optimization problems. Lastly, if time permits we will focus on a class of strategic resource allocation games (Colonel Blotto games) and demonstrate how revealing private information can be strategically advantageous in competitive scenarios.
Bio: Jason R. Marden is a Full Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. Jason received a BS in Mechanical Engineering in 2001 from UCLA, and a PhD in Mechanical Engineering in 2007, also from UCLA, under the supervision of Jeff S. Shamma, where he was awarded the Outstanding Graduating PhD Student in Mechanical Engineering. After graduating from UCLA, he served as a junior fellow in the Social and Information Sciences Laboratory at the California Institute of Technology until 2010 when he joined the University of Colorado. In 2015, Jason joined the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. Jason is a recipient of the ONR Young Investigator Award (2015), NSF Career Award (2014), the AFOSR Young Investigator Award (2012), the American Automatic Control Council Donald P. Eckman Award (2012), and the SIAM/SGT Best Sicon Paper Award (2015). Furthermore, Jason is also an advisor for the students selected as finalists for the best student paper award at the IEEE Conference on Decision and Control (2011, 2016, 2017) and American Control Conference (2020). Jason's research interests focus on game theoretic methods for the control of distributed multiagent systems.
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