Lecture 16: Bayesian Games

MIT OpenCourseWare · Intermediate ·🖌️ UI/UX Design ·1mo ago

Key Takeaways

Discusses Bayesian games in game theory with incomplete information

Original Description

MIT 14.12 Economic Applications of Game Theory, Fall 2025 Instructor: Ian Ball View the complete course: https://ocw.mit.edu/courses/14-12-economic-applications-of-game-theory-fall-2025/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63quuKvMHCt3cmTmt0O2qpv In this session, Ian Ball discusses Bayesian games, which are types of games in game theory where players have incomplete information about other players, such as their preferences, payoffs, or available strategies. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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