LFU:online

Students who successfully complete this course will understand the fundamental decision-making concepts under conditions of certainty and uncertainty and learn about canonical games and solution concepts of non-cooperative and cooperative game theory. Drawing upon selected examples, students will ultimately learn how to apply game-theoretical methods in information security research to model real-world problems.

Basics of non-cooperative and cooperative game theory (e.g., preferences, utilities, strategic form, dominant and mixed strategies, Nash equilibria, Shapley value, revelation principle etc.), network routing games, auctions, interdependent security.

Lectures with interactive game sessions, problem-based exercise sheets, literature study

Written exam + student presentations

• Martin J. Osbourne, An Introduction to Game Theory, Oxford University Press.
• Steven Tadelis, Game Theory: An Introduction, Princeton University Press.
• Noam Nisan, Tim Roughgarden, Eva Tardos, Vijay V. Vazirani (Eds.), Algorithmic Game Theory, Cambridge University Press, 2007.
  • We are likely to cover parts of Chapters 1, 2, 9, 18.
  • Available online here.

Further literature sources will be provided in the class.

None. A basic understanding of probability theory, discrete mathematics, and linear algebra will be however beneficial.