1 / 10

CS 15-381: Artificial Intelligence: Representation and Problem Solving

CS 15-381: Artificial Intelligence: Representation and Problem Solving. Fall 2002 Prof. Tuomas Sandholm Computer Science Department Carnegie Mellon University. Attendance list. Student name, id, email address. Main course topics. Problem representation & reasoning Search

janelt
Download Presentation

CS 15-381: Artificial Intelligence: Representation and Problem Solving

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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?

More Related