Intelligent Systems: Robots, Agents, and Humans

Schedule: Spring 2008, TR 9:00-10:15am
Location: HEC 302
Professor: Dr. Gita Sukthankar

This course is a study of systems that exhibit intelligent attributes. We cover practical techniques for designing intelligent agents capable of planning, learning, and cooperation. There will be discussion of psychological/social ramifications of the use and creation of intelligent systems. Much of the course focuses on various challenge problems (e.g. the Trading Agent Competition and Robocup) that have been used to benchmark the performance of intelligent systems.



After completing the course, students should: Additionally, students will refine their research, writing, and presentation skills.

Due Dates


  1. Introduction
  2. Multiagent Systems
  3. Introduction to Planning
  4. Planning in Computer Games
  5. Combining Planning and Learning
  6. Trading Agent Competition
  7. Bidding under Uncertainty
  8. TAC: Supply Chain Management
  9. Agent Reputation and Trust
  10. Robocup
  11. Urban Rescue Robots
  12. Reinforcement Learning
  13. Multi-Agent Reinforcement Learning
  14. Transfer Reinforcement Learning
  15. Multi-robot Coordination
  16. Multi-agent Coordination (Team Planning)
  17. No Class (Mar 11-13th)
  18. Emulating Humans (Emotion)
  19. Emulating Humans (Motion)
  20. Emulating Humans (Teamwork)
  21. No Class; Take-home Exam (Mar 27)
  22. Student Paper Presentations (Apr 1-17th)
  23. Final Project Demos (Wed, Apr 23rd, HEC 111, 1-4pm)
    1:00-1:30 Gautham Anil, Siddharth Somvanshi
    1:30-1:45 Craig Dean
    1:45-2:00 David Lyle
    2:00-2:15 Dan deBlasio
    2:15-2:45 JT Folsom-Kovarik, Philip Verbancsics
    2:45-3:00 Robert Hauser
    3:00-3:15 Richard Lum
    3:15-3:30 Matt Meighan
    3:30-3:45 Bryan Rosander
    3:45-4:00 Mikel Rodriguez