University of Massachusetts Amherst
Department of Computer Science

 

 

CMPSCI 683

Artificial Intelligence

    Fall 2011

 

Shlomo Zilberstein

 

Course Information

Course description: In-depth introduction to Artificial Intelligence focusing on techniques that allow intelligent systems to reason effectively with uncertain information and cope limited computational resources. Topics include: problem-solving using search, heuristic search techniques, constraint satisfaction, local search, abstraction and hierarchical search, resource-bounded search techniques, principles of knowledge representation and reasoning, logical inference, reasoning under uncertainty, belief networks, decision theoretic reasoning, planning under uncertainty using Markov decision processes, multi-agent planning, and computational models of bounded rationality.

Schedule and Policy Changes
  • The campus was closed on Monday, Oct. 31. Since then--and until further notice--we are running one lecture behind schedule. Keep up with the reading assignments accordingly.
  • HW#3 is due on Wednesday, Nov. 2 (instead of Oct. 31).
  • The deadline for HW#4 remains as planned (Nov. 9).
  • Every student will have an extra extension (for a total of three one-lecture extensions).
  • Extensions can be used in conjunction with HW#1-HW#5. HW#6 is due on Dec. 7. This is a firm deadline with no extensions allowed.

Lectures: Monday & Wednesday 9:05-10:20 in CS 142

Credit: 3 units

Instructor:

Teaching assistants:

Textbook:

Grading:

Late policy: Assignments are to be handed in in class, or in the main office by 4:00 PM on the due date. Assignments will be accepted up to one lecture period late at a penalty of 20%. Each student will be allowed two one-lecture extensions without penalty throughout the semester (at most one extension may be used per assignment). If you are using an extension, indicate it clearly on your assignment. Assignments will not be accepted later without the express permission of the instructor.

Regrade policy: Homework assignments and tests will be returned in class. If you think a grading error was made on an assignment or test, or if you do not get the assignment or test handed back to you, you should talk to the TA or the instructor within a week of when it was handed back.

Academic honesty policy: You are encouraged to discuss the course material with your classmates. You may also discuss homework assignments, but only in order to get a better understanding of the questions. All writing and coding must be done on your own. Sharing or copying solutions is unacceptable and could result in failure.

Accessing the web site: The web site address is "http://rbr.cs.umass.edu/shlomo/classes/683/". You can use your favorite internet browser to access the material, but some documents are protected by password. Only students who are officially enrolled in the class are authorized to use the material. The userid and password will be provided in class.

Many of the materials created for this course are the intellectual property of the instructor. This includes, but is not limited to, the syllabus, lectures and course notes. Except to the extent not protected by copyright law, any use, distribution or sale of such materials requires the permission of the instructor. Please be aware that it is a violation of university policy to reproduce, for distribution or sale, class lectures or class notes, unless copyright has been explicitly waived by the faculty member.


© 2011 Shlomo Zilberstein.