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Rough Outline of Topics
- Overview, agents, environments (Chaps 1 and 2)
- Search (Chaps 3, 4, and 6)
- Knowledge representation and planning (Selected topics from Chaps 7-11)
- Uncertainty & Bayesian networks (Selected topics from Chaps 13-15)
- Machine Learning: Statistical Learning (Chap 20)
- Machine Learning: Neural Networks (Chap 20)
- Machine Learning: Reinforcement Learning (Chap 21)
Midterm Wednesday, November 1, in class (closed book, except for one 8 1/2'' x 11'' page of notes)
Schedule of Lectures and Readings
Visit here for the schedule of lectures/reading. We will update it frequently over the quarter.
| Date |
Topic |
Readings |
Slides |
Comments |
| Wed, Sep 27 |
Introduction |
AIMA Ch.1 |
PDF
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| Fri, Sep 29 |
Agents and Environments |
AIMA Ch.2 |
PDF
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| Mon, Oct 2 |
Search |
AIMA Ch.3 |
PDF
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| Wed, Oct 4 |
Informed Search |
AIMA Ch.4.1 |
PDF
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| Fri, Oct 6 |
Heuristics |
AIMA Ch.4.2, 4.3 |
PDF
|
|
| Mon, Oct 9 |
Adversarial Search |
AIMA Ch.6.1 and 6.2 |
PDF
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| Wed, Oct 11 |
Alpha-Beta Search |
AIMA Ch.6.3 and beyond |
PDF
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| Fri, Oct 13 |
No Class |
AIMA Ch.7.1-7.3 |
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| Mon, Oct 16 |
Wumpus and Logical Agents |
AIMA Ch.7.1-7.3 |
PDF
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| Wed, Oct 18 |
Wumpus Reasoning: Propositional Logic |
AIMA Ch.7.3-7.4 |
PDF
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| Fri, Oct 20 |
Inference in Propositional Logic |
AIMA Ch.7.5-7.7 |
PDF
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| Mon, Oct 23 |
First-Order Logic |
AIMA Ch. 8 |
PDF |
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| Wed, Oct 25 |
More First-Order Logic |
AIMA Ch. 8-9 |
PDF |
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| Fri, Oct 27 |
Inference using First-Order Logic |
AIMA Ch. 9 |
PDF |
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| Mon, Oct 30 |
Midterm Review |
AIMA Ch. 1-4, 6-9 |
PDF |
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| Wed, Nov 1 |
Midterm Exam |
AIMA Ch. 1-4, 6-9 |
Sample Midterm Exam |
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| Friday, Nov 3 |
Situation Calculus and Planning |
AIMA Ch. 10.3 and 11 |
PDF |
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| Monday, Nov 6 |
More Planning |
AIMA Ch. 11 |
PDF |
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| Wednesday, Nov 8 |
SATPlan and Uncertainty |
AIMA Ch. 11 and 13 |
PDF
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| Friday, Nov 10 |
No Class - UW Holiday |
AIMA Ch. 13 |
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| Monday, Nov 13 |
More Uncertainty |
AIMA Ch. 13 |
PDF
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| Wednesday, Nov 15 |
Bayesian Inference |
AIMA Ch. 13 |
PDF
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| Friday, Nov 17 |
Bayesian Networks |
AIMA Ch. 14 |
PDF
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| Monday, Nov 20 |
Machine Learning: Decision Trees |
AIMA Ch. 18 |
PDF
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| Wednesday, Nov 22 |
Machine Learning: DTs, Bagging, Boosting |
AIMA Ch. 18 |
PDF
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| Monday, Nov 27 |
Machine Learning: Nearest Neighbors and Neural Networks |
AIMA Ch. 20 |
PDF
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| Wednesday, Nov 29 |
Machine Learning: NNs for Function Approximation |
AIMA Ch. 20 |
PDF
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| Friday, Dec 1 |
Machine Learning: Backprop and Reinf. Learning |
AIMA Ch. 20/21 |
PDF
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| Monday, Dec 4 |
Machine Learning: Reinforcement Learning |
AIMA Ch. 21 |
PDF
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| Wednesday, Dec 6 |
Final Lecture: Some Applications of AI |
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PDF
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