The recommended text book also contains material that will help clarify the topics covered in the lectures.
| Topic | Readings Russell and Norvig (R&N) |
Slides | Notes |
|---|---|---|---|
| Introduction What is AI |
Chapter 1 presents a more complete and
very interesting overview of the history and goals of AI research. Chapter 2 also contains some interesting ideas about one way to think about the structure AI systems. |
00-Administrative Details | Introduction slides courtesy of Fahiem Bacchus |
| Uninformed and Heuristic Search | Chapter 3 presents the search techniques covered in the lectures. |
02-Uninformed Search
Slides for September 18th |
Uninformed search slides courtesy of Fahiem Bacchus |
| Adversarial Search | This corresponds to chapters 5.1, 5.2, and 5.3 of the textbook. | Adversarial Search | |
| Backtracking Search | This roughly corresponds to chapters 6.1,6.2, and 6.3 of the textbook. | Slides for October 2nd | |
| Knowledge Representation | This roughly corresponds to chapters 7,8,9 and 12 of the textbook. |
Slides for October 9th
Slides for October 14th Resolution Example Slides for October 28th |
Resolution example courtesy of Fahiem Bacchus |
| Classical Planning | This corresponds to chapter 10 of the textbook. | Slides for November 4th | |
| Uncertainty | This corresponds to chapter 13 and 14 of the textbook. |
Slides for November 6th
Slides for November 11th Slides for November 13th Slides for November 20th Slides for November 25th |
|
| Examples | Additional examples of course material |
STRIPS planning example
Relaxed planning graph example Variable elimination example |
Note that the arcs in Bayes net in the variable elimination example are backwards. A correction will be posted later. |