MIT OCW (6.034 AI) 강의를 수강하며 작성한 기록입니다.
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## 📚 Course Curriculum| Lec # | Topics | Readings |
|---|---|---|
| 1 | Introduction and scope | - |
| 2 | Reasoning: goal trees and problem solving | Application: Symbolic Integration, p. 61 |
| 3 | Reasoning: goal trees and rule-based expert systems | Chapter 3, pp. 53–60 |
| 4 | Search: depth-first, hill climbing, beam | Chapter 4 |
| 5 | Search: optimal, branch and bound, A* | Chapter 5 |
| 6 | Search: games, minimax, and alpha-beta | Chapter 6 |
| 7 | Constraints: interpreting line drawings | Chapter 12 |
| 8 | Constraints: search, domain reduction | - |
| 9 | Constraints: visual object recognition | Chapter 26 |
| 10 | Introduction to learning, nearest neighbors | Chapter 19 |
| 11 | Learning: identification trees, disorder | Chapter 21 |
| 12 | Learning: neural nets, back propagation | Neural net notes (PDF) |
| 13 | Learning: genetic algorithms | Chapter 25 |
| 14 | Learning: sparse spaces, phonology | Yip, Kenneth, and Gerald Jay Sussman. "Sparse Representations for Fast, One-Shot Learning." |
| 15 | Learning: near misses, felicity conditions | Chapter 16 |
| 16 | Learning: support vector machines | Support vector machine slides (PDF) |
| 17 | Learning: boosting | Boosting notes (PDF) Schapire, Robert. "The Boosting Approach to Machine Learning: An Overview." |
| 18 | Representations: classes, trajectories, transitions | Chapter 9 |
| 19 | Architectures: GPS, SOAR, Subsumption, Society of Mind | Lehman et al. "A Gentle Introduction to Soar" Brooks, Rodney. "Intelligence Without Representation" Winston, Patrick Henry. "S3, Taking Machine Intelligence to the Next, Much Higher Level" |
| 20 | The AI business | - |
| 21 | Probabilistic inference I | - |
| 22 | Probabilistic inference II | Probabilistic inference notes (PDF) |
| 23 | Model merging, cross-modal coupling, course summary | Coen, Michael. "Self-Supervised Acquisition of Vowels in American English" |