Algorithmic Game Theory

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Algorithmic Game Theory

Lehrveranstaltung mit SWS 2/2/0 (Vorlesung/Übung/Praktikum) in SS 2023



Umfang (SWS)

  • 2/2/0



  • Klausur
  • Mündliche Prüfung

Game Theory is a multi-disciplinary and pervasive field that is concerned how strategic decision making can be formally modelled and analysed.

In this course, we will approach the subject from a computer science perspective and also address how game theory can be approached computationally, e.g. consider how computers can be programmed to play games, or analyse the computational complexity of various game-theoretic notions.
  • Jörg Rothe (Ed.): Economics and Computation. An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division. Springer-Verlag Berlin Heidelberg (2016) (Part I: Playing Successfully)
  • Richard Alan Gillman, David Housman: Game Theory. A Modeling Approach. CRC Press (2019)
  • Bernhard von Stengel: Game Theory Basics. Cambridge University Press (2021)
  • Noam Nisan, Tim Roughgarden, Éva Tardos, Vijay Vazirani (eds.): Algorithmic Game Theory. Cambridge University Press (2007)

Veranstaltungskalender abonnieren (icalendar)

Vorlesung Noncooperative Games in Normal Form DS3, 3. April 2023 in APB E005