Lecture 21: Perfect Bayesian Equilibrium

MIT OpenCourseWare · Beginner ·🤖 AI Agents & Automation ·1mo ago

Key Takeaways

Introduces perfect Bayesian equilibrium using an example of a Vickrey-Clarke-Groves auction

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 Ian Ball begins the lecture by sharing an example of a Vickrey–Clarke–Groves (VCG) auction. He then continues by introducing dynamic Bayesian games. 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

Related Reads

📰
How AI Employees Are Changing Companies
Learn how AI employees are revolutionizing companies by automating tasks like drafting, searching, and summarizing, and why this matters for the future of work
Medium · Machine Learning
📰
Kaiban Distributed, Evaluation
Learn about Kaiban Distributed, an actor-model multi-agent runtime, and its capabilities and roadmap
Medium · AI
📰
I built an AI agent that runs a local business's weekly marketing (Next.js + Gemini)
Learn how to build an AI marketing agent for local businesses using Next.js and Gemini, automating weekly marketing tasks
Dev.to AI
📰
Evaluation-Driven Development: Why QA Is About to Own the AI Stack
QA teams will play a crucial role in AI development as evaluation-driven development becomes key to differentiating AI models
Medium · AI
Up next
Building the future of agentic infrastructure
Claude
Watch →