Game Theory and Multiagent Systems (ECE 149)
Term Specific Information
Lectures and Homeworks
Term Specific Information
This course provides an overview of game theory with a special emphasis on its application to engineering applications and multiagent systems. Game theory focuses on the study of systems that are comprised of a collection of interacting and possibly competing decision making entities. Examples will be drawn from engineered, economics, and social models, including multivehicle robotics, data networks, sensor networks, and electronic commerce.
Term: Fall Quarter, 2020
Lecture: Monday and Wednesday, 12:30-1:45, Online
Office Hours: Online, Times: TBD or by email appointment
Course Ad
Syllabus
Teaching Assistant: Bryce Ferguson (blf (at) umail.uscb.edu)
Office Hours: Online, Times: TBD or by email appointment
Lecture #1: Why Game Theory? [notes]
Lecture #2: Social Choice - Part I
Lecture #3: Social Choice - Part II
Lecture #4: Matching Problems - Part I
Lecture #5: Matching Problems - Part II
Lecture #6: Cost Sharing - Part I
Lecture #7: Cost Sharing - Part II
Lecture #8: Strategic Decision Making
Lecture #9: Zero-Sum Games
Lecture #10: Strategic Form Games
Lecture #11: Nash Equilibria
Lecture #12: Mixed Nash Equilibria
Lecture #13: Mixed Nash Equilibria and Correlated Equilibria
Lecture #14: Congestion Games and Potential Games
Lecture #15: Price of Anarchy
Lecture #16: Mechanism Design