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Algorithmic Game Theory

Class at Faculty of Mathematics and Physics |
NDMI098

Syllabus

Formal models in game theory

Auctions, Myerson's Lemma

Price of anarchy

Nash equilibrium, Nash's Existence Theorem

Finding equilibria, complexity class PPAD

Correlated equilibiria and other variants

Minimax Theorem

Annotation

An introduction to algorithmic game theory, a relatively new field whose objective is to study formal models of strategic environments and to design effective algorithms for them. This introductory course covers basic concepts and methods that are illustrated with several practical applications.

To successfully pass the course, it is recommended to know basics from complexity theory.