Introduction to Artificial Intelligence
Semester A 2012-2013 (Fall 2012)
* Under Construction *
BGU Computer Science Department
Description of the course
Artificial intelligence (AI) has recently regained the limelight, as the human
world chess champion was beaten by Deep Blue, a program written by a team
of researchers and programmers from IBM. Even more recently, a "re-match"
against a distributed machine in Jerusalem also favored a computer program.
In the more difficult field of partial information and chance games,
such as Poker, AI programs now hold their own against human
champions, as exhibited in a competition held during AAAI-2008.
In the even more difficult field of automated robotics, a nearly fully autonomous
car has recently (2012) been successful in road tests in the Western
USA (Google driverless car).
Other true AI applications are also
on the rise, from expert systems for diagnosis and advice, through increasingly
intelligent robots, to intelligent and autonomous www agents.
This course deals with the issues of defining intelligence and rationality
in an agent, various methods of formalizing them, and
models for representing and using knowledge. In specific topics, mainly
search, logical reasoning, probabilistic reasoning, and decision-making under uncertainty,
the course will focus all the way down to the
algorithm level, in order to provide some hands-on experience with programming
artificially intelligent agents.
This course now has 2 numbers, one as an undergraduate course, and one as a graduate course.
These are both the same course although some details in assigmnents (e.g. bonus assignments, etc.)
may be slightly different.
Significant weight will be assigned to examining some open reasearch
problems in some sub-fields of AI, especially in the graduate part of the course.
Course data and information pointers
- Course Reference: Artificial Intelligence
(202-2-5661: graduate course, 202-1-5151: undergraduate course) - Semester A 2012-2013 (Fall 2012)
- Credits: 4
- Instructor: Prof. Solomon Eyal Shimony
- Graders: Roi Weiss (see
grader page) and Raz Nissim (raznissim at gmail.com) for assignment 1.
- Course scheduled at:
- Monday 14-16, building 90, room 135. *** January 2 *** Location change: Building 34, room 3.
- Wednesday 12-14, building 90, room 224.
- Syllabus and requirements
- Midterm exams, (use of books and notes allowed):
- 1st midterm exam: Thursday, December 20, at 17:30, building 97, rooms 206, 207.
- 2nd midterm exam: Thursday,January 24, at 17:30, building 28. room 204. (Grading completed Feb. 5, 2013)
Example midterm from previous years.
definitions and algorithms for Bayes networks.
Environments and search (simplified, deterministic), deadline (was): November 25. (** 1 week delay due to war, now Dec. 2 **)
Assignment 2: Adversarial games, deadline (was): December 10, postponed to December 23..
- Assignment 3:
Theoretical assignment on search and reasoning, deadline: December 18 (strict deadline).
- Assignment B1:
Logical reasoning reasoning (Optional, bonus assignment Deadline: January 25.
- Assignment 4:
Probabilistic reasoning. Deadline: January 13.
- Assignment 5:
Partial observability - decision-making (Canadian Traveler Problem) - bonus assignment.
- Assignment 6:
Exercise on planning, reasoning and decision making under uncertainty, and learning. Solo submission, deadline January 23 at 12, noon. Solutions.
- Example quiz and
- Lecture topics and notes.
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