4190.408 Artificial Intelligence: Cognitive Robotics (Spring 2013)
- Instructor: Prof. Byoung-Tak Zhang
- TA: Eun-Sol Kim (eskim@bi.snu.ac.kr)
- Classroom: Rm. 209, Bldg. 302 / Rm. 311-1, Bldg. 302 (Thu)
- Time: Tue & Thu 09:30–10:45
Course Objectives
- To understand the history of ideas and achievements in artificial intelligence (AI)
- To get theoretical basis for developing computational models of AI
- To acquire the conceptual and technical tools for application of artificial intelligence
- To understand the future prospects of human-level artificial intelligence
Textbooks
- The Quest for Artificial Intelligence — Nilsson, N. J. — Cambridge University Press — 2009
References
- Cognitive computing I: Multisensory perceptual intelligence in real-world (in Korean), B.-T. Zhang, Communications of KIISE, 30(1):75–87, 2012
- Cognitive computing II: Machine vision-language learning in real-life (in Korean), B.-T. Zhang, Communications of KIISE, 30(1):88–100, 2012
- Cognitive computing III: Deep dynamic prediction in real-time (in Korean), B.-T. Zhang, Communications of KIISE, 30(1):101–111, 2012
- Next-generation machine learning technologies (in Korean), B.-T. Zhang, Communications of KIISE, 25(3):96–107, 2007
Grading Policy
| 구분 | 비율 |
|---|---|
| Two Open-book Exams | 60% |
| Project | 30% |
| Reading & Quiz | 5% |
| Attendance & Discussion | 5% |
Course Schedule
| Week | Date | Topics |
|---|---|---|
| 1 | 3/5 | Thinking machines: Leibniz, Frege, Turing, AI pioneers |
| 1 | 3/7 | Heuristic programs: logic, chess, checkers, 8-puzzle, GPS |
| 2 | 3/12 | Practice |
| 2 | 3/14 | Neural networks and supervised learning algorithms |
| 3 | 3/19 | Mobile robots: Shakey, FREDDY, tour guides, service robots |
| 3 | 3/21 | New generation projects: FGCS, ESPRIT, SC |
| 4 | 3/26 | Practice (Perceptron) |
| 4 | 3/28 | Practice (Weka) |
| 5 | 4/2 | Expert systems and knowledge engineering |
| 5 | 4/4 | Natural language and speech |
| 6 | 4/9 | Vision and image understanding |
| 6 | 4/11 | Planning and reasoning |
| 7 | 4/16 | Machine learning |
| 7 | 4/18 | Practice |
| 8 | 4/23 | Midterm Exam |
| 8 | 4/25 | Cognitive robotics |
| 9 | 4/30 | Bayesian networks and probabilistic reasoning |
| 9 | 5/2 | Practice |
| 10 | 5/7 | Deep learning |
| 10 | 5/9 | Practice |
| 11 | 5/14 | Cognitive architectures |
| 11 | 5/16 | Project presentations |
| 12 | 5/21 | Human-level AI |
| 12 | 5/23 | Future of AI |
| 13 | 5/28 | Project work |
| 13 | 5/30 | Project work |
| 14 | 6/4 | Final Project Poster Presentation |
| 14 | 6/6 | Holiday (Memorial Day) |
| 15 | 6/11 | Final Exam |
| 15 | 6/13 | Reviews and discussion |