CS 5541: Artificial Intelligence

Fall 2010

Lecturer: Rich Maclin (rmaclin)

Syllabus

Grades

Useful Links:

• Textbook Web Page
• AAAI
• AAAI Topics

Stuart Russell's Notes:

• Chapter 1   (6 per page)
• Chapter 2   (6 per page)
• Chapter 3a (3rd ed), 3 (2nd ed)   (6 per page)
• Chapter 3b (3rd ed), 4a (2nd ed)   (6 per page)
• Chapter 4 (3rd ed) 4b (2nd ed)   (6 per page)
• Chapter 5 (3rd ed), 6 (2nd ed)   (6 per page)
• Chapter 6 (3rd ed) 5 (2nd ed)   (6 per page)
• Chapter 7   (6 per page)
• Chapter 8   (6 per page)
• Chapter 9   (6 per page)
• Chapter 18   (6 per page)   (2 per page)
• ML Intro   (6 per page)   (2 per page)
• Decision Trees   (6 per page)   (2 per page)
• Artificial Neural Networks   (6 per page)   (2 per page)
• Reinforcement Learning   (6 per page)   (2 per page)
• Planning Lecture from Dr. Prince
• Chapter 10 (2nd ed Chap 11)   (6 per page)   (2 per page)
• Chapter 13   (6 per page)   (2 per page)
• Chapter 14a   (6 per page)   (2 per page)
• Chapter 14b   (6 per page)

Lisp Links:

• Guy Steele's Common Lisp 2, online guide
• Gnu CLisp
• GCL (Gnum Common Lisp)
• iLisp (emacs interface for Lisp)
• Some simple emacs, lisp notes   (6 per page)
• Gnu Emacs

Programming Assignments:

1. Program 0: Lisp Practice
2. Program 1: Tic-Tac-Toe with Minimax
3. Program 2: Sudoku as a CSP
4. Program 3: Logic in the Wumpus World
5. Program 4: Reinforcement Learning in a Chase Maze

Homework Assignments:

1. Homework 1
2. Homework 2
3. Homework 3
4. Homework 4
5. Homework 5

Sample Exam Questions:

• Sample Questions for Midterm 1
• Sample Questions for Midterm 2
• Sample Questions for the Final