BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260710T154929EDT-6291mu9fAx@132.216.98.100 DTSTAMP:20260710T194929Z DESCRIPTION:The State of Representing and Solving Games\n\nBy Tuomas Sandho lm\n\nCarnegie Mellon University\, Pennsylvania\n\nWith High-Level Panel o f Leaders in Science\, Technology\, On-the-Ground Action\, and Policy\n\nR egister & watch the webinar\n\nGame-theoretic solution concepts provide me ticulous definitions of how rational parties should act. That has enabled humans to think rigorously about strategic interactions\, leading to game theory revolutionizing many fields such as economics\, political science\, and biology. So far\, game theory has mainly been used for reasoning by h umans. The models have therefore been quite stylized and coarse: small eno ugh for humans to solve in their heads or by paper and pen. The goal has b een to draw insights from such models\, which humans then judiciously appl y to the drastically more complicated real world. The boundaries of game t heory have thus been defined by the limits of humans. However\, many - arg uably most - important game classes lie beyond those boundaries. There is now another\, more nascent\, use of game theory that goes beyond human int elligence. The game is computationally solved in its full detail - or else in a large\, faithful abstraction thereof - as opposed to solving a small \, stylized version to obtain insights for humans. Novel approaches\, game representations\, and algorithms from the last 18 years have enabled game theory to advance significantly beyond its traditional boundaries. I will discuss that state of the art. The talk is based on my presentation at th e December 2021 Nobel Symposium: 100 Years of Game Theory\, and also inclu des brand new results.\n\nAbout the speaker\n\nTuomas Sandholm is Angel Jo rdan University Professor of Computer Science at Carnegie Mellon Universit y and a serial entrepreneur. His research focuses on the conver-gence of a rtificial intelligence\, economics\, and operations research. He is Co-Dir ector of CMU AI. He is the Founder and Director of the Electronic Marketpl aces Laboratory. He has published over 500 peer-reviewed papers\, holds 25 patents\, and his h-index is 91. In addition to his main appointment in t he Computer Science Department\, he holds appointments in the Machine Lear n-ing Department\, Ph.D. Program in Algorithms\, Combinatorics\, and Optim ization (ACO)\, and CMU/UPitt Joint Ph.D. Program in Computational Biology .\n\n\nAbout the series\n\nThe Precision Convergence series is launched to catalyze unique synergy between\, on the one hand\, novel partnerships ac ross sciences\, sectors and jurisdictions around targeted domains of real- world solutions\, and on the other hand\, a next generation convergence of AI with advanced research computing and other data and digital architectu res such as PSC’s Bridges-2\, and supporting data sharing frameworks such as HuBMAP\, informing in a real time as possible the design\, deployment a nd monitoring of solutions for adaptive real-world behaviour and context. \n\nThe Precision Convergence Webinar Series is co-hosted by The 91ºÚÁÏÍø Ce ntre for the Convergence of Health and Economics (MCCHE) at 91ºÚÁÏÍø Univers ity and The Pittsburgh Supercomputing Center\, a joint computational resea rch centre between Carnegie Mellon University and the University of Pittsb urgh.\n\n \n DTSTART:20230215T160000Z DTEND:20230215T180000Z SUMMARY:MCCHE Precision Convergence Webinar Series with Tuomas Sandholm URL:/desautels/channels/event/mcche-precision-converge nce-webinar-series-tuomas-sandholm-344080 END:VEVENT END:VCALENDAR