DS 402-001: Games, Algorithms, and Social Choice

• Semester: Fall 2025
• Instructor: Hadi Hosseini
• Who: Upper level undergraduate students (3rd or 4th year) who are interested in learning about foundations of AI decision making in multi-agent environments.
• When: MW 4:00 p.m. - 5:15 p.m. at E208 Westgate Building and W 4:00 p.m. - 5:15 p.m. via Zoom
• Where: This is a hybrid class (H2) which meets up to 50% remotely
  • Monday class meetings will be held in E208 Westgate Building.
  • Wednesday class meetings will be held via Zoom.
  • This hybrid course (H2) counts as an in-person course for students with F-1 or J-1 visa status.
• Credits: 3.0
• Prerequisites: DS220
• LionPATH Class Number: 15385

By the end of this course, students will be able to:

• Design and analyze solutions concepts for formulating and solving AI problems involving multiple agents.
• Provide algorithmic or mathematical analysis for aggregating preference data, deciding collective decisions, and evaluating strategic behavior of agents in multi-agent settings.
• Identify open problems in the literature, provide theoretical framework, and validate the models through mathematical models or experimental simulation.

(Tentative) Course evaluation is based on:

• Homework assignments (2 x 10%)
• Paper critiques (20%)
• Participation (15%)
• Group project (45%)
  • Projects should include solid and non-trivial implementations and/or novel research questions on a topic related to Agentic AI and Multiagent Systems.