Game Theory II: Advanced Applications

Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University, renowned for his contributions to game theory, microeconomic theory, and the analysis of social and economic networks. He is also an external faculty member of the Santa Fe Institute and a senior fellow at CIFAR (the Canadian Institute for Advanced Research). Jackson has authored numerous influential articles and the acclaimed book Social and Economic Networks, which explores the intricate relationships that shape economic interactions. His esteemed career is marked by significant accolades, including membership in the National Academy of Sciences, fellowship in the Econometric Society and the American Academy of Arts and Sciences, as well as prestigious awards such as the Social Choice and Welfare Prize and the John von Neumann Award. Additionally, he has held editorial roles for prominent journals including Games and Economic Behavior, Review of Economic Design, and Econometrica, further underscoring his impact on the field of economics. Through his research and teaching, Jackson continues to advance our understanding of complex economic systems and their underlying social structures.

Kevin Leyton-Brown is a prominent professor of Computer Science at the University of British Columbia, where he also serves as an associate member of the Vancouver School of Economics. Since earning his PhD from Stanford University in 2003, he has focused his research on the intersection of computer science and microeconomics, tackling computational challenges within economic contexts and exploring incentive structures in multiagent systems. His work extends to applying machine learning for the automated design and analysis of algorithms aimed at solving complex computational problems. Leyton-Brown's contributions to the field have been recognized with numerous awards, including UBC's Charles A. McDowell Award for Excellence in Research and a NSERC E.W.R. Steacie Memorial Fellowship. He has also received accolades for his teaching and research from various organizations, including the Canadian Association of Computer Science. As an influential figure in his field, he chairs the ACM Special Interest Group on Electronic Commerce and serves as an associate editor for several prestigious journals. Through his innovative research and educational initiatives, Leyton-Brown continues to shape the future of economics and computer science integration.

Yoav Shoham is a distinguished Professor Emeritus of Computer Science at Stanford University, where he has been a faculty member since earning his PhD from Yale University in 1987. His research spans critical areas such as logic-based knowledge representation, game theory, and electronic commerce, contributing significantly to the academic discourse with numerous articles and five influential books, including Essentials of Game Theory, co-authored with Kevin Leyton-Brown. Beyond academia, Shoham is a successful entrepreneur who has founded several AI companies, including TradingDynamics, Katango, and Timeful, all of which were acquired by major firms like Ariba and Google. His accolades include being a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the Association for Computing Machinery (ACM), and the Game Theory Society. He has also received prestigious awards such as the IJCAI Research Excellence Award and the ACM/SIGART Autonomous Agents Research Award. In addition to his research and entrepreneurial endeavors, Shoham is known for his popular online courses in game theory, which have attracted hundreds of thousands of learners worldwide. Through his multifaceted contributions to AI and economics, he continues to influence both academic and practical applications in these fields.