| Instructor: | Dave Goforth | Office: | FA377 (Fraser) |
| Extension: | 2316 | ||
| e-mail: | dgoforth@cs.laurentian.ca | ||
| website: | http://www.cs.laurentian.ca/dgoforth/cosc4117/outline.html | ||
| Text: | Russell, S. & P. Norvig. 2003. Artificial Intelligence: a Modern Approach, 2nd ed. Upper Saddle River NJ: Prentice Hall. | ||
| Lectures: | Monday, Wednesday, Friday | 9:30 AM | FA357 |
| Evaluation: |
Programming Project
|
50% | |
| Assignments 3@8% | 24% | ||
| Final Exam | 26% | ||
In this course, we will probe the broad field of Artificial Intelligence. Following
the authors of the textbook, we will use the "Intelligent Agent" approach that
considers intelligence as an ability to behave successfully in an "Environment."
That environment could be the Internet, a game, or a real word situation and
it is not too far off the mark to think of the intelligent agent as a robot
or bot in a world of some kind.
Evaluation in the course will be based on a major programming project, a set
of three small assignments and a final examination. The programming project
involves creating an intelligent agent to play a board game. All agents will
compete in a tournament near the end of the course.
The project - an intelligent game player Final
tournament results and marks
Detailed course schedule
Project, Assignment and Exam Schedule