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Artificial Intelligence >> Content Detail



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



SES #TOPICSREADINGS
1What is AI?
2Symbolic Integration
3Goals and RulesChapter 3, pp. 53-60.
4Basic SearchChapter 4
5Optimal SearchChapter 5
Quiz 1
6GamesChapter 6
7Genetic AlgorithmsChapter 25
8Constraints in DrawingsChapter 12
9Constraints in Maps and Schedules
10Learning to Recognize ObjectsChapter 26
11Frames and RepresentationChapter 9
Quiz 2
12Nearest Neighbor LearningChapter 19
13Identification Tree LearningChapter 21
14Neural Net LearningNeural Net Notes (PDF)
15Self-organizing Maps
16Support-vector MachinesHandout (PDF)
Quiz 3
17BoostingSchapire, Robert. "The Boosting Approach to Machine Learning An Overview." MSRI Workshop on Nonlinear Estimation and Classification, 2002.
18Learning From Near MissesChapter 16
19Learning Phonological RulesYip, Kenneth, and Gerald J. Sussman. "Sparse Representations for Fast, One-Shot Learning." Proceedings of AAAI'97, July 1997.
20Architectures for Intelligence and Are We Just Rats with Big Brains
Quiz 4
21Guest Lecturer (Michael Coen) - Cross-modal Clustering and BirdsongsCoen, Michael. "Self-Supervised Acquisition of Vowels in American English." To appear in Proceedings of AAAI'06, 2006.
22Farewell Summary; Comments on Grading and Final

 








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