CSE 441/541
Artificial Intelligence
Fall Quarter 2006
Time : Tuesdays and Thursdays, 12:00-1:50pm
Location: Shattuck Hall (SH), Room 145.
Instructor:
Melanie Mitchell,
FAB 120-24, (503) 725-2412, mm-AT-cs.pdx.edu.
Office hours: Tuesdays and Thursdays, 2:00-3:00pm, or by appointment.
TA:
Dan Brown, FAB 115-D.
Office hours: Wednesdays, 2:00-4:00pm.
Course Website: :
http://www.cs.pdx.edu/~mm/AIFall2006/index.html
Prerequisites: CS 202, 311.
Textbook: S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach , Second Edition , Prentice Hall. ISBN: 0-13-790395-2.
Reserve Readings: TBA
Assignments: There will be several short written
assignments designed to solidify what is learned in class. In
addition, each student will read one assigned paper or set of papers
in the AI literature and give a 10- to 20-minute presentation of that
paper in class.
Finally, each student will participate in a small team to carry out
an AI programming project that utilizes at least two of the techniques
we learn about in class. The team will also write a 10-20 page paper
on this work, including a discussion of one or two related papers in
the literature. During the last week of class, each team will give a
15-20 minute presentation of their project.
Exams: There will be one midterm and one final exam.
Grading: Homework: 20%; Project, paper, and in-class presentations: 40%; Midterm: 20%; Final exam: 20%.
Academic integrity: Students will be responsible for following the PSU Student Conduct Code, and in particular, the policy concerning academic honesty.
Collaboration policy: Homework: Students may discuss the general concepts and principles behind an assignment with other students. In fact, you are encouraged to do this whenever possible, because it is often a valuable way to reinforce ideas, and to learn new perspectives. However, in doing assignments, each student is expected to develop, write up, and hand in an individual solution and, in doing so, develop a sufficient understanding of the problem and solution so as to be able to explain it adequately to the instructor. Under no circumstances should a student copy or consult the solution of another student, or copy a solution from any other source, including the Internet. Team projects: Again, students are free to discuss general concepts and issues of the projects with anyone. However, all programming and writing of the paper should be done exclusively by each the team.
Students with disabilities: If you are a student with a disability in need of academic accommodations, you should register with Disability Services for Students and notify the instructor immediately to arrange for support services.
Syllabus (subject to change):
Date |
Topics |
Reading and Homework |
Tuesday Sept. 26 |
Introduction to AI |
Reading: |
Thursday Sept. 28 |
Introduction to AI |
Homework due: Homework 1 ("Commentary on Searle paper"). |
Tuesday Oct. 3 |
Agents, robots, and search |
Reading: Textbook, Chapters 2-3, |
Thursday Oct. 5 |
Agents, robots, and search continued. |
All project teams should be formed. One-paragrpah project proposals due Thursday Oct. 12. |
Tuesday, Oct. 10 |
Search and game playing (Guest lecture: Bart Massey) |
Reading: Textbook, Chapters 4,6 |
Thursday, Oct. 12 |
Search and game playing, continued |
Project proposals due. |
Tuesday, Oct. 17 |
Neural networks |
Reading: Textbook, Section 20.5, Chapter 21 |
Thursday, Oct. 19 |
Reinforcement learning and biologically inspired AI |
Reading: Chapter 1 of M. Mitchell, An Introduction to
Genetic Algorithms (handed out in class). |
Tuesday, Oct. 24 |
Biologically inspired AI and learning, continued |
Homework due: Homework 4. |
Thursday, Oct. 26 |
Midterm exam |
... |
Tuesday, Oct. 31 |
Analogy-Making |
Reading: |
Thursday, Nov. 2 |
Analogy-making, continued |
... |
Tuesday, Nov. 7 |
Guest talk: Mick Thomure |
Reading: Textbook, Chapter 10, Section 6, Chapter 23, Section 2, |
Thursday, Nov. 9 |
Knowledge representation, information retrieval, and probabilistic
reasoning, continued |
Reading: Textbook, Chapter 13 (as needed); Chapter 14 (Sections 1-5) |
Tuesday, Nov. 14 |
Probabilistic reasoning, continued |
Reading: Textbook, Chapter 15, Sections 1-3 |
Thursday, Nov. 16 |
Probabilistic reasoning, continued |
... |
Tuesday, Nov. 21 |
Speech and Vision |
Homework due: Homework 6. |
Thursday, Nov. 23 |
Thanksgiving holiday |
... |
Tuesday, Nov. 28 |
Project presentations |
... |
Thursday, Nov. 30 |
Project presentations |
... |
Tuesday, Dec. 5 |
Finals week: No class |
... |
Thursday Dec. 7 |
Final exam, 10:15am-12:05pm |
... |