CompactCourse: Simulating Societies–Computational Behavioral Modelling and Gaming - Summer17

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Summer 17
Prof. Dr. Florian Rupp, GUTech, Oman; contact: Dr. rer. nat. Tobias Neckel
Time and Place
FRI 30.06. 10:00-12:00 and 13:00-15:00 +

FRI 07.07. 10:00-12:00 and 13:00-15:00 +
THU 13.07.: 12:00-16:00 +
FRI 14.07.: 10:00-12:00 and 13:00-15:00,
room 00.09.038

all interested students, in particular students of BGCE, Games Engineering, TopMath, CSE, Mathematics, and Informatics
written exam or report with coding assignment (depending on the number of participants)
Semesterwochenstunden / ECTS Credits
1 credit



The block course “Simulating Societies: Computational Behavioral Modelling and Gaming” provides a fast paced introduction and overview for modelling the dynamics of heterogeneous multi agent systems with a particular focus on mobile societies. Compared especially with common physical systems, the most interesting aspect of this class of problems is that the agents may have different views (preferences) and that these may be substantially influenced by social interaction. Therefore, our modelling and simulation is based on microeconomic first principles as well as Markovian first principle description for the diffusion of ideas.

  • Case Studies (Axelrod’s experiment and the iterated prisoners dilemma, modeling a society of mobile heterogeneous individuals)
  • Preferences, Utilities & Choice (Preference orderings & utility functions, the choice problem & choice functions, rational choice functions, Dutch book arguments & alternatives, choice functions as internal equilibria & the satisficing procedure, psychological motives not included within the framework, modeling choice procedures)
  • Diffusion of Ideas & Exchange between Agents (exchange between agents, diffusion of ideas with a simple deterministic & stochastic model, a competing “infection” model, modeling the transmission of culture, modeling the transmission of ideas and culture)
  • Micro to Macro Descriptions (Micro-descriptions as dynamic transitions, Markovian transitions involving 1st principles, multi-agent limits: the meso- & macro-description, a catastrophic-model of an ideology landscape)
  • Socioeconomic Transactions (Modeling interaction decisions and the choice of behavior)
  • Group Interactions & Establishment of Norms (Modeling grouping and conforming)
  • Social Networking & Non-Locality (Modeling social networking and moving to far-flung locations)


The course material is available in the piazza instance. For access, please contact Prof. Rupp directly.

Related Material

  • R. Axelrod (2009): Die Evolution der Kooperation, 7. Auflage, Oldenburg Verlag, München.
  • C. Gardiner (2009): Stochastic Methods – A Handbook for the Natural & Social Sciences, 4th edition, Springer Verlag.
  • R.J. Gaylord & L.J. D’Andria (1998): Simulating Society – A Mathematica Toolkit for Modeling Socioeconomic Behavior, Springer Verlag.
  • M. Holler & B. Klose-Ullmann (2005): Spieltheorie für Manager, Accedo Verlagsgesellschaft, München.
  • M. Holler & G. Illing (2009): Einfühung in die Spieltheorie, 7th edition, Springer Verlag.
  • G. Naldi, L. Pareschi & G. Toscani (Eds., 2010): Mathematical Modeling of Collective Behavior in Socio-Economic and Life Science. Birkhäuser.
  • A. Rubinstein (2006): Lecture Notes in Microeconomic Theory – The Economic Agent, Princeton University Press.
  • F. Rupp (2011): Modeling the Diffusion of Ideas by Stochastic Differential Equations, HOMO OECONOMICUS, 28 (3), pp. 319 –-365.
  • T.C. Schelling (2006): Micromotives and Macrobehavior with a new preface and the Nobel Lecture, W.W. Norton.
  • W. Weidlich (2000): Sociodynamics – A Systematic Approach to Mathematical Modelling in the Social Sciences, Dover Publications.
  • E. C. Zeeman (1979): A Geometrical Model of Ideologies, pp. 463 – 479, in C. Renfrew & K. L. Cooke (eds.): Transformations – Mathematical Approaches to Culture Change, Academic Press, New York.