This course will cover various topics related to the discipline of computer simulation through multi-agent modeling (also called agent-based modeling). Multi-agent modeling specifically focuses on the study of systems where a large number of independent entities (agents) simultaneously interact with each other, resulting in emergent patterns of behavior for the system as a whole.
In particular, students will gain proficiency with NetLogo, which is a sophisticated (yet easy to learn) language and environment for multi-agent modeling. Previous computer programming experience will prove helpful, but is not required.
Professor: Uri Wilensky
Teaching Assistants: Sugat Dabholkar, Can Gurkan, Connor Bain
Time: TuTh 2:00PM - 3:20PM
Location: Annenberg G02
Pre-requisities: For EECS/MSAI/LRN_SCI 372: None (For 472: Grad. students only)
Required Textbook: Introduction to Agent Based Modeling: Modeling natural, social, and engineered complex systems with NetLogo by Uri Wilensky and William Rand, fourth printing
Primary Software Tool: NetLogo 6.0.4: To get a feel for the course, download the software, and follow the first few tutorials
Resources: We use Canvas as a repository for all course resources and assignments. Please see our Canvas course for more info.
Week 1 Course Survey - please fill out this short survey by the end of class on Tuesday, April 2nd. [an error occurred while processing this directive]