VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

851-0592-00L 2 Credits
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Computational Models of Social Systems

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

Last Updated: 2026-02-05 14:56:42

Abstract

Thanks to the revolution in information technology, computational modeling is increasingly used as a tool to study social systems. This seminar focuses exclusively on agent-based modeling, which is a particular type of computational methodology that allows the researcher to create, analyze, and experiment with, artificial worlds populated by agents that interact in non-trivial ways. Prior knowledge of programming is not required but highly recommended.

Objective

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

Content

The course starts with an introduction to the rationale and principles of agent-based modeling, followed by a brief survey of object-oriented programming in Java. The remainder of the semester focuses on a Java-based simulation framework called Repast. Throughout the semester, examples drawn from political science, economics, and sociology will be covered.

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
Frequency
Yearly recurring

Examination

Type
graded semester performance

Course Components

Type Title Time & Place Hours
seminar Computational Models of Social Systems
  • Tue 17:15-19:00 (HG D 1.1)
2 h weekly

Offered In