CGL Meeting Agenda

Wednesday, March 18, 1998

Location:
Computer Graphics Lab
Time:
1:30
Chair:
Itai Danan

1. Adoption of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour this week:
???
Coffee hour next week:
???

3. Next meeting

Date:
Wednesday, March 25, 1998
Location:
DC 1304
Time:
1:30
Chair:
Ed Dengler
Technical presentation:
Blair Conrad

4. Forthcoming

Chairs:
  1. Glenn Evans (April 1st)
  2. Patrick Gilhuly (April 8th)
  3. Eric Hall (April 15th)
Tech Presenters:
  1. Bill Cowan (April 1st)
  2. Itai Danan (April 8th)
  3. Ed Dengler (April 15th)

5. Technical Presentations

Presenter:
Wilkin Chau
Title: Gamut Mapping for Cross Rendering
Abstract:
In this talk I will talk about the basic concepts of gamut mapping for cross rendering. Clipping and compression techniques will be discussed. Several images will be shown to illustrate the advantage and disadvantage of each approach.

6. General Discussion Items

7. Action List

8. Director's Meeting

9. Seminars

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COMPUTER SCIENCE SEMINAR

                    -Monday, March 23, 1998

Mitch   Cherniack,  Brown  University,  will  speak  on
``Building Query Optimizers with Combinators''.

TIME:                10:30-12:00 noon

ROOM:                DC 1304

ABSTRACT

Query   optimizers  generate  plans  to  retrieve  data
requested  by  queries.  Optimizers  are  hard to build
because   for   any   given   query,  there  can  be  a
prohibitively  large  number  of  plans to choose from.
One  technique  for  coping  with this complexity is to
divide  optimization into two phases: a heuristic phase
that  narrows  the  space  of  plans to consider, and a
cost-based  phase  that compares the relative merits of
plans that lie in the narrowed space.

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Speaker: Trang Dang, MASc candidate

Title: An intelligent agent interface for computer-based training
Date: March 18, 1998
Time: 11:30
Location: DC-1304

Abstract:

This thesis applies an agent-based approach for the interface of a
computer-based training application. It attempts to solve the
following issues:

- how the interface can be both flexible and adaptable to users' needs,
and at the same time be understandable and controllable by the users; 
- how the interface can be competent by using knowledge about the
training domain and its user's preferences and goals.

The thesis provides a background research on existing user-interface
approaches. It then defines interface agents as an autonomous,
goal-oriented entity that has the abilities to assist users when
performing their tasks, to answer users' needs, to collaborate with other
agents (software or humans) to jointly solve problems. The
thesis goes on developing a model of the intelligent agent interface and
its architecture. The architecture provides an interface that is:
dynamic, flexible, functional and extendable. The thesis also includes
the implementations, tests and results of the interface agent.

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10. Lab Cleanup