Evolution, Learning, and Behavior (WS 2018/19)

Prof. Dr. Florian Herold

The course introduces different topics related to behavioural economics and bounded rational learning how to act strategically. We start with an introduction to techniques from evolutionary game theory which can be used to investigate the evolutionary foundations of preferences and behaviour as well as to model learning processes. We will further discuss empirically observed human biases, how to model them and their possible evolutionary origins.


  • Recapitulation of Key Concepts in Game Theory
  • Introduction to Evolutionary Game Theory
  • Evolution and Learning
  • Evolution of Preferences
  • Human biases in decision making (e.g. Prospect Theory) and evolutionary origins
  • Social preferences and their evolutionary foundation
  • Networks and Evolution (if time permits)

Good knowledge of microeconomics and game theory (at the level of  Advanced Microeconomics (MA)) is needed to follow the course.

Vorlesung (Prof. Florian Herold)

  • Mittwoch, 10.15 - 11.45 Uhr in F21/02.55 Beginn: 17.10.2018

Übung (Stefanie Schmitt M.Sc.)

  • Mittwoch 14.15 - 15.45 Uhr in F21/02.41 Beginn: 24.10.2018


Weibull, Jörgen W. (1998), Evolutionary Game Theory, MIT Press

Sandholm, William H. (2010), Population Games and Evolutionary Dynamics

Vega-Redondo, Fernando (1996), Evolution, Games and Economic Behavior

Samuelson, Larry (1997), Evolutionary Games and Equilibrium Selection

Fudenberg, Drew and David K. Levine (1998), Theory of Learning in Games

Maynard Smith, John (1982), Evolution and the Theory of Games

Easley and Kleinberg (2010, Networks, Crowds, and Markets, CambridgeUniversity press (online: www.cs.cornell.edu/home/kleinber/networks-book/)

Angner, Erik (2012), A Course in Behavioral Economics

Further Literature will be announced in class.

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