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Readings

Unless otherwise noted, the readings below are from the course textbook:

Amazon logo Winston, Patrick Henry. Artificial Intelligence. 3rd ed. Reading, MA: Addison-Wesley, 1992. ISBN: 9780201533774.

LEC # TOPICS READINGS
1 Course introduction  
2 Goal trees Application: symbolic integration, p. 61
3 Rule-based systems Chapter 3, pp. 53-60
4 Basic search Chapter 4
5 Optimal search Chapter 5
6 Games Chapter 6
7 Quiz 1  
8 Constraints, search Chapter 12
9 Search, constraints  
10 Object recognition Chapter 26
11 Nearest neighbors Chapter 19
12 Identification trees Chapter 21
13 Quiz 2  
14 Neural nets Neural net notes (PDF)
15 Genetic algorithms Chapter 25
16 Sparse spaces Yip, Kenneth, and Gerald Jay Sussman."Sparse Representations for Fast, One-Shot Learning." (This resource may not render correctly in a screen reader.PDF)
17 Near misses Chapter 16
18 Support vector machines Slides (PDF)
19 Quiz 3  
20 Boosting

Boosting notes (PDF) (Courtesy of Luis Ortiz. Used with permission.)

Schapire, Robert. "The Boosting Approach to Machine Learning: An Overview." MSRI Workshop on Nonlinear Estimation and Classification, 2002. (This resource may not render correctly in a screen reader.PDF)
21 Frames Chapter 9
22 Architectures

Lehman, Jill, John Laird, and Paul Rosenbloom. "A Gentle Introduction to Soar, An Architecture for Human Cognition: 2006 Update." (This resource may not render correctly in a screen reader.PDF)

Brooks, Rodney. "Intelligence Without Representation." Artificial Intelligence 47 (1991): 139-159.

Society of Mind

Winston, Patrick Henry. "S3, Taking Machine Intelligence to the Next, Much Higher Level." (This resource may not render correctly in a screen reader.PDF)
23 The AI business  
24 Probabilistic inference  
25 Quiz 4  
26 Probabilistic inference (cont.) Probabilistic inference notes (PDF)
27 What's next? Coen, Michael. "Self-Supervised Acquisition of Vowels in American English." AAAI Proceedings of the 21st National Conference on Artificial Intelligence, 2006, Volume 2.