CS 91.420/543 Artificial IntelligenceFall 2008

Tuesdays, 1:00 - 2:15 p.m.

402 Olsen Hall

Prof. Gary Livingston

Course Description

We will cover the basic algorithms forming the core of Artificial Intelligence, heuristic search, knowledge representation and inference, modeling, probabilistic reasoning, and planning. We will study these algorithms using pencil and paper assignments and small programming assignments using the Python programming language. We will also study the history of AI and some philosophical aspects of AI. In addition to the assignmentds, student learning will be measured by three tests. From time to time you may be asked to review papers on current AI topics.

Syllabus

Textbooks

Required:

Artificial Intelligence: A Modern Approach (2nd Edition)
Authors: Stuart Russel and Peter Norvig
ISBN: 0-13-790395-2
Publisher: Prentice Hall


Highly Recommended:
Learning Python, Second Edition
Authors: Mark Lutz and David Ascher
Publisher: O’Reilly

Contact Information

Dr. Gary Livingston
Email: gary@cs.uml.edu
Office: 301B Olsen Hall
Phone: (978)-934-4694
Office hours: Tuesdays, 2:15 p.m. - 4:00 p.m. and by appointment.

TA Information

Fanhai Yang
Office: 301A Olsen Hall
Email: :fanhaiyang@yahoo.com

Schedule (includes lecture notes, homeworks, handouts, etc.)

Student Pages

Practice Tests

Practice Test 1

Practice Test 2

Othello code: Othello_Fall_2008.zip

Additional instructions are in SamplePlayer.py. All changes should only be made in SamplePlayer.py

Student Othello Code

Solutions for HW6: AI_HW6_key.pdf

Paper to read and review for HW9: weld99recent.pdf