inf5104 - Fundamentals of Game Theory in Energy Systems (Complete module description)

inf5104 - Fundamentals of Game Theory in Energy Systems (Complete module description)

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Module label Fundamentals of Game Theory in Energy Systems
Modulkürzel inf5104
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • Master's Programme Computing Science (Master) > Angewandte Informatik
  • Master's programme Digitalised Energy Systems (Master) > Computer Science and Energy Informatics
Zuständige Personen
  • Nieße, Astrid (module responsibility)
  • Lehrenden, Die im Modul (Prüfungsberechtigt)

Useful prior knowledge: Fundamentals of optimization

Skills to be acquired in this module

Upon successful completion of the course, students can understand fundamental concepts of game theory, and the relevance of these concepts to applications in energy informatics research.
Professional competence
The students:

  • will be able to follow game-theoretic work in the application area of energy systems, and thus be able to reflect on the current state of research in this area

Methological competence
The students:

can classify and formalise games and apply solution concepts for the presented types of games. Application examples can be examined for game types and the necessary simplifications can be evaluated.

Social competence
The students:

  • create solutions in small teams
  • present and discuss their solutions
  • reflect the solutions of others in a constructive manner

Self competence
The students:

derive connections between everyday situations and their game theory conceptualization.

Module contents

In this module, theoretical concepts from game theory are prepared and presented with connections to the application in cyber-physical energy systems (CPES).

Fundamental concepts are discussed using easy-to-follow examples.

These are:

  • Game theory and decision theory
  • Interdependencies
  • Cooperative and non-cooperative game theory
  • Utility, discrete and continuous strategy, dominant strategy
  • Axioms of game theory
  • Theorems of game theory
  • Solution concepts for games, e.g. iterated elimination, backward induction
  • Multi-step and repeated games
  • Partial game perfection
  • Discont factor
  • Mechanims design, markets and auctions

In CPES-application examples, references are made to distributed artificial intelligence and multi-agent systems, strategy learning, and operating in markets in energy applications

  • Dario Bauso: Game Theory with Engineering Applications. Society for Indstrial and Applied Mathematics, Philadelphia, 2016
  • Shoham, Leyton-Brown: Multiagent systems. Cambridge University Press, 2010.
  • Fudenberg, Tirole: Game Theory. MIT Press, 1991
Language of instruction English
Duration (semesters) 1 Semester
Module frequency every summer term
Module capacity unlimited
Teaching/Learning method V+Ü
Previous knowledge Useful prior knowledge: Fundamentals of optimization
Form of instruction Comment SWS Frequency Workload of compulsory attendance
Lecture 2 SoSe 28
Exercises 2 SoSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

Following the event period

Written exam