Game Theory 101: Co-opetition, Applications, Economic Behaviour & More | In conversation with Professor Saptarshi Mukherjee

from Center for New Economics Studies · host Center for New Economic Studies

Interviewer: Bilquis Calcuttawala In this episode of Interlinked, Professor Mukherjee shares his insights on game theory and behavioural economics, one of the most upcoming and exciting topics in this domain. This conversation highlights the interdisciplinary nature of game theory by outlining basic terminology, introducing the prisoner's dilemma (one of the most popular games to study the concept), and discussing the various applications in auctions, online portals, analysing players' reactions to rivals in sports, and understanding the change in dynamics after COVID-19. It ends with a discussion on the direction of future research with influences from the fields of geopolitics, machine learning and robotics, alongside sharing resources for those who would like to know more about game theory! Professor Saptarshi Mukherjee is an associate professor of economics at IIT Delhi. Dr Mukherjee completed his post-doc from Universitat Autònoma de Barcelona, Spain and his PhD in Quantitative Economics from the Indian Statistical Institute (ISI), New Delhi.  His research interests include mechanism design, social choice, game theory, and bounded rationality; he teaches microeconomics, game theory and mathematical economics.  Image Source: https://www.kdnuggets.com/2020/03/crash-course-game-theory-machine-learning.html 

What this episode covers

Interviewer: Bilquis Calcuttawala In this episode of Interlinked, Professor Mukherjee shares his insights on game theory and behavioural economics, one of the most upcoming and exciting topics in this domain. This conversation highlights the interdisciplinary nature of game theory by outlining basic terminology, introducing the prisoner's dilemma (one of the most popular games to study the concept), and discussing the various applications in auctions, online portals, analysing players' reactions to rivals in sports, and understanding the change in dynamics after COVID-19. It ends with a discussion on the direction of future research with influences from the fields of geopolitics, machine learning and robotics, alongside sharing resources for those who would like to know more about game theory! Professor Saptarshi Mukherjee is an associate professor of economics at IIT Delhi. Dr Mukherjee completed his post-doc from Universitat Autònoma de Barcelona, Spain and his PhD in Quantitative Economics from the Indian Statistical Institute (ISI), New Delhi. His research interests include mechanism design, social choice, game theory, and bounded rationality; he teaches microeconomics, game theory and mathematical economics. Image Source: https://www.kdnuggets.com/2020/03/crash-course-game-theory-machine-learning.html

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Game Theory 101: Co-opetition, Applications, Economic Behaviour & More | In conversation with Professor Saptarshi Mukherjee

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