Lecture 22: Signaling
Skills:
Agent Foundations80%
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 the lecture Ian Ball explains a more complicated example of signaling, which is a type of dynamic Bayesian game.
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.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Meta Crashed My Server to Train Their Ai. 110 People Said It Happened to Them Too.
Medium · Startup
How Agentic AI Is Transforming Hiring in 2026
Medium · Startup
I Replaced My $60,000 Operations Budget With Three AI Systems. Here Is Exactly What I Did.
Medium · Startup
When AI Gets Stuck in Its Own Loop: The Autonomous Sunk-Cost Fallacy
Medium · ChatGPT
🎓
Tutor Explanation
DeepCamp AI