Complex Systems (4IZ636)

Lecturer: Jan Burian
Email: honzaburian ampersand seznam.cz

Requirements

Tentative schedule
Lecture	Theme
1.	Introduction and organization of the lecture Intuitive definitions of complexity Basics of (complex) systems science
2.	System dynamics Formal definitions of complexity
3.	Self-organization and related concepts Very short introduction in modeling methodology
4.	Cellular automatons
5.	Complex networks
6.	Agent-based models I Examples Methodology Tools
7.	NetLogo – User guide and programming
8.	Agent-based models II Iterated Prisoners Dilemma Other interesting models
9.	ACE – Agent-based Computational Economy
10.	ACE – Agent-based Computational Economy II
11.	Guest
12.	Presentations I
13.	Test + Presentations II

Other examples:

Economics
- Stock exchange
- Market regulations
Social science
- Conflict simulation
- Voting
- Social segregation
- Traffic jams

But you are not bound to any particular theme. You can model anything what could be meaningfully modeled by an agent-based model.

You can also modify and/or extend an existing model. Look for examples into the NetLogo Models Library and NetLogo User Community Models.