1. CS 15-381: Artificial Intelligence: Representation and Problem Solving Fall 2002 Prof. Tuomas Sandholm Computer Science Department Carnegie Mellon University

2. Attendance list Student name, id, email address

3. Main course topics Problem representation & reasoning Search –Constructive search & iterative refinement –For optimization problems & constraint satisfaction problems Game playing Logic –Propositional logic –First-order logic Planning Probabilistic reasoning & planning Machine learning –Supervised learning (= learning from examples) –Reinforcement learning (= learning by reinforcement)

4. Course personnel & times Instructor –Prof. Tuomas Sandholm Lectures TuTh 10:30-11:50 in Hammerschlag Hall B103 Office hour Tu 12-1 in Wean Hall 4606 TAs (published experts in AI): –Kate Larson klarson@cs.cmu.edu Wean Hall 3203 Office hours Mo 2-3, We 5-6 –Pat Riley pfr+@cs.cmu.edu Wean Hall 7113 Office hours We 1-2, Th 12-1

5. Homeworks & grading 4 programming homeworks –Can use any programming language –Recommended: Java (homework 2 must be in Java) Evaluation: –Homeworks 45% –Midterm exam 25% –Final exam 30%

6. Honor code Strict honor code with severe punishment for violators Assignments will specify whether or not teamwork is allowed No downloading / copying of code or other answers is allowed If you use a string of at least 5 words from some source, you must cite the source

7. Before every lecture Print out slides for that lecture from the course web page –so you can take notes on the slides in class

8. Textbook Artificial Intelligence: A Modern Approach –first edition –by Russell and Norvig –published by Prentice Hall

9. Course web page http://www.cs.cmu.edu/~sandholm/cs15-381 Includes a course schedule –updated regularly Homeworks will be posted via the web page

10. Questions?