Instructor: Prof. Harry
Wechsler wechsler@gmu.edu
Course Description
– Principles
and methods for knowledge representation, reasoning, problem solving, planning,
heuristic search, reasoning, learning, probabilistic reasoning, and natural
language processing and their application to building intelligent systems in a
variety of domains. LISP, PROLOG, MATLAB, or
expert
system programming language.
Main Topics: Problem Solving,
Search, Representation and Inference, Uncertainty and Probabilistic Reasoning,
Learning, and Communication (Perception and Natural Language Processing).
Time, Day, and Venue: R – Thursday, 4:30
pm - 7:10 pm
Innovation
Hall 133
http://registrar.gmu.edu/calendars/2013Spring.html
First
day of classes: Thursday, January 24
Spring
Break [March 11 – 17]: no class on Thursday, March 14
Last day of classes: Thursday, May 2
http://registrar.gmu.edu/calendars/2013SpringExam.html
FINAL Exam: Thursday,
May 9, 4:30 – 7:15 pm
Office Hours: Thursday, 3:00 pm – 4:00 pm (ENGR - 4448)
Textbook: Artificial Intelligence: A Modern Approach, Russell and Norvig (3rd ed.), Prentice Hall, 2010.
Textbook Website: http://aima.cs.berkeley.edu/ Textbook Slides: http://aima.eecs.berkeley.edu/slides-pdf/
1/24
– 1/31: Introduction to AI (Chap.1) &
Intelligent Agents and Problem Solving (Chapter 2) & Philosophical
Foundations (Chap. 26) & AI: Present and Future (Chap. 27); AI = Rational Problem
Solving {Search, Reasoning, Learning, Communication}; LISP
2/7
– 2/14: Uninformed and Informed
(Heuristic) Search (Chapters 3 – 4); PROLOG and MATLAB; WHITE PAPER for TERM
PROJECT (due February 7)
2
/21: Constraint Satisfaction (Chap. 5) and Planning (Chap. 10)
2/
28: Game Playing (Chap. 6)
3/7:
REVIEW for MIDTERM
3/14:
Spring Break
3/21:
MIDTERM (covers Chapters 1 – 6) (closed books and notes)
3/28:
Knowledge and Reasoning (Chap. 7)
4/
4: First-Order Logic: Representation and Inference (Chapters 8 – 9)
4/11:
Uncertainty / Probability / Bayes and Inference Using Belief Networks (Chapters
13 – 14)
4/18:
Learning / Decision Trees and Ensemble Learning (Chap. 18)
4/25:
Communication / Natural Language Processing and Perception / (Chapters 22 – 24)
5/2:
REVIEW for FINAL
5/9:
FINAL (cumulative) (closed books and notes)
·
Homework: 20%
·
Term Project (due April 25): 20%
·
MIDTERM:
Thursday, March 21 – 20
%
·
FINAL
: Thursday,
May 12 – 40
%
You are expected to abide by the GMU honor
code. Homework assignments and exams are individual efforts. Information on the
university honor code can be found at http://academicintegrity.gmu.edu/honorcode/.
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies