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UNIVERSITY OF MASSACHUSETTS
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CMPSCI 791T |
Resource-Bounded Reasoning Techniques |
Spring 1997 |
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Seminar Information
Description:
In many computer systems, it is not feasible (computationally)
or desirable (economically) to compute the "optimal" answer.
This seminar examines a variety of techniques that allow small quantities
of computational commodities - such as time, memory, or information -
to be traded for gains in the value of computed results. It covers both
theory and applications in such areas as automated diagnosis and treatment,
combinatorial optimization, probabilistic inference, and information gathering.
Topics include: models of agent representation, decision theory and
rational choice, the value of information, principles of meta-reasoning,
memory-bounded search, utility-directed search, deliberation scheduling,
dynamic planning and execution, and evaluation of resource-bounded
reasoning techniques.
Time & place: Wednesday 10:30-1:00, LGRC 339
Prerequisites:
Introduction to AI and probability theory or
permission of instructor.
Credit:
3 units Instructor:
Shlomo Zilberstein, shlomo@cs.umass.edu, 545-4189 Office hours:
Monday 1:30-2:30, Thursday 11:00-12:00, LGRC A325 Format:
Final grade will be based on class participation, material presentation,
and project report.
A schedule of presentations, bibliography, and other handouts are
available on-line at
http://anytime.cs.umass.edu/shlomo/classes/791T/
Each week we will discuss selected papers focused on a particular aspect
of resource-bounded reasoning.
Presentation of the material will be shared between instructor,
seminar participants and occasional visitors. Seminar
participants will be required to review papers, participate in
discussions, make a few formal presentations, and complete a term
project. The project can focus on an analytical study of a particular
resource-bounded reasoning technique or on implementation and empirical
evaluation. Participants will have to discuss their project
with the instructor and turn-in a project proposal by 3/15/97.
The final project report is due on 5/15/97.