| SES # | TOPICS | READINGS |
|---|---|---|
| 1 | What is AI? | |
| 2 | Symbolic Integration | |
| 3 | Goals and Rules | Chapter 3, pp. 53-60. |
| 4 | Basic Search | Chapter 4 |
| 5 | Optimal Search | Chapter 5 |
| Quiz 1 | ||
| 6 | Games | Chapter 6 |
| 7 | Genetic Algorithms | Chapter 25 |
| 8 | Constraints in Drawings | Chapter 12 |
| 9 | Constraints in Maps and Schedules | |
| 10 | Learning to Recognize Objects | Chapter 26 |
| 11 | Frames and Representation | Chapter 9 |
| Quiz 2 | ||
| 12 | Nearest Neighbor Learning | Chapter 19 |
| 13 | Identification Tree Learning | Chapter 21 |
| 14 | Neural Net Learning | Neural Net Notes (PDF) |
| 15 | Self-organizing Maps | |
| 16 | Support-vector Machines | Handout (PDF) |
| Quiz 3 | ||
| 17 | Boosting | Schapire, Robert. "The Boosting Approach to Machine Learning An Overview." MSRI Workshop on Nonlinear Estimation and Classification, 2002. |
| 18 | Learning From Near Misses | Chapter 16 |
| 19 | Learning Phonological Rules | Yip, Kenneth, and Gerald J. Sussman. "Sparse Representations for Fast, One-Shot Learning." Proceedings of AAAI'97, July 1997. |
| 20 | Architectures for Intelligence and Are We Just Rats with Big Brains | |
| Quiz 4 | ||
| 21 | Guest Lecturer (Michael Coen) - Cross-modal Clustering and Birdsongs | Coen, Michael. "Self-Supervised Acquisition of Vowels in American English." To appear in Proceedings of AAAI'06, 2006. |
| 22 | Farewell Summary; Comments on Grading and Final |
Table of Contents
Study Materials
Readings
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Most of the assigned readings for the course are taken from the textbook:
Winston, Patrick H. Artificial Intelligence. 3rd ed. Reading, MA: Addison-Wellsley, 1992. ISBN: 0201533774.
Readings by Session