Algorithmic Game Theory

Winter 2021/22
Lecturer: Max Klimm
More information and materials: ISIS course page

Content

In this course, we discuss recent developments of algorithmic game theory. Each participant is expected to give a 30min presentation and write a short summary on a recent paper in algorithmic game theory. The topics include

• Game theory
• Computation of equilibria
• Efficiency of equilibria
• Mechanism design
• Social choice
• Behavioral models
• Applications of the topics above

Prerequisites

Following the course "Algorithmic game theory (ADM III)" that is also offered this semester is certainly helpful but not necessary.