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851-0592-00L 2 Credits DS , MSC D-GESS

Advanced Computational Modeling of Social Systems

Lecturers & Examiners: Prof. Dr. Lars-Erik Cederman
VVZ CR n/a

Last Updated: 2026-02-05 15:28:42

Abstract

We will be studying the principles of agent-based modeling and its applications to the social sciences. The course will allow the participants to develop their own applied models. This course builds on the introductory class given SS 04 and WS 04/05. Attendance of that course is not a prerequisite but helpful. Admittance to the current course is limited and only by appointment with the instructor.

Objective

The students are expected to learn how to create their own agent-based models in order to explore social systems.

Resources

Literature

A full syllabus will be provided shortly. Recommended introductory readings about agent-based modeling: Axelrod, Robert. 1997. The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton: Princeton University Press. Casti, John L. 1997. Would-Be Worlds: How Simulation Is Changing the Frontiers of Science. New York: Wiley. Cederman, Lars-Erik. 1997. Emergent Actors in World Politics: How States and Nations Develop and Dissolve. Princeton: Princeton University Press. Epstein, Joshua M. and Robert Axtell. 1996. Growing Artificial Societies: Social Science From the Bottom Up. Cambridge, Mass.: MIT Press. Holland, John H. 1995. Hidden Order: How Adaptation Builds Complexity. Reading, Mass.: Addison-Wesley.

General Information

Language
English
Levels
DS , MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance

Course Components

Type Title Time & Place Hours
seminar Advanced Computational Modeling of Social Systems
Permission from lecturers required for all students. Teilnehmerzahl beschränkt, Einschreibung beim Dozenten.
  • Wed 17:15-19:00 (SEI E 13)
2 h weekly

Offered In