Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FRT032F valid from Autumn 2014

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  • English
  • If sufficient demand
  • This course is an introduction to the fundamentals of game theory. Game theory is the study of strategic decision making. Specifically, it is "the study of mathematical models of conflict and cooperation between intelligent rational decision-makers". Another description is multi-agent optimization. Motivations are drawn from engineered/networked systems (including distributed control of wireline and wireless communication networks, incentive-compatible/dynamic resource allocation, multi-agent systems, pricing and investment decisions in the Internet), and social models (including social and economic networks). The course emphasizes the theoretical foundations, mathematical tools, modeling, and equilibrium notions in different environments.
  • Different forms of games such as strategic form games, extensive games, repeated games and differential games. Tools to investigate equilibrias of games; iterated strict dominance and Nash equilibrium. Further, concepts as rationalizability, learning and evolution in games will be covered. Additionally, the course covers game theory that describes auctions, bargaining, games with incomplete information, differential games, resource allocation and pricing.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Understand the differences between strategic form games, extensive games, repeated games, differential games and games with incomplete information.

    Have knowledge about the mathematical backgorund of iterated strict dominance, Nash equilibrium and understand the notion of mixed strategies.

    Understand concepts such as rationalizability, evolution and learning in games.
Competences and Skills
  • For a passing grade the doctoral student must
  • Be able to use iterated strict dominance, theory for repeated games and the theory of Nash equilibirum to find the equilibrium/equilibria of a game.

    Be able to formulate engineering problems as game-theory problems.

    Be able to discuss a game's structure and possible equilibrium/equilibria by the theory covered in the course.
Judgement and Approach
  • For a passing grade the doctoral student must
  • Judge the suitability of different game theory formulations and equilibrium concepts for engineering problems.
Types of Instruction
  • Lectures
  • Exercises
  • Project
  • Self-study literature review
  • Most of the material is covered by self studies except the material on differential games where lectures are offered.
Examination Formats
  • Written assignments
  • Seminars given by participants
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
  • Fudenberg, Drew & Tirole., J.: Game Theory. MIT Press,.
  • We will also use course material from MIT OpenCoursware
    "Game Theory with Engineering Applications"
Further Information
Course code
  • FRT032F
Administrative Information
  •  -02-10
  • FN1/Anders Gustafsson

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