dlm@research.att.COM.UUCP (12/05/87)
Title: Knowledge Based Software Activity Management:
An Approach to Planning, Tracking and Repairing
Software Projects
Speaker: Mark S. Fox
Associate Professor of Computer Science and Robotics
Carnegie-Mellon University
Date: Thursday, December 17, 1987
Time: 9:00 AM to 11:00 AM Central Time
(10:00 AM to Noon Eastern Time)
Place: AT&T Bell Laboratories - Indian Hill Main Auditorium
Video & audio simulcast to: AT&T Bell Labs Holmdel Room 1N-612 (Capacity: 85)
AT&T Bell Labs Murray Hill Auditorium
AT&T Bell Labs Whippany Auditorium
This talk will be video-taped.
Sponser: William Opdyke (ihlpf!opdyke)
Holmdel: Wendy A. Waugh -homxc!wendy
Murray Hill: Deborah L. McGuinness allegra!dlm
Whippany: David Lewy - whuts!lewy
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Talk Abstract
The management of activities is a central part of many tasks
such as project management, software engineering and factory
scheduling. Successful activity management leads to better
utilization of resources over shorter periods of time. Over
the past eight years we have been conducting research into
the process of activity management, including:
1. activity representation
2. planning and scheduling of activities
3. chronicling and reactive repair of activities
4. display and explanation of activities
5. distributed activity management
This presentation will briefly review the projects underway
in the Intelligent Systems Laboratory, describe the research
in each of the above areas, and demonstrate its application to
software engineering and project management.
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Speaker Bio.
Dr. Fox received his BSc in Computer Science from the
University of Toronto in 1975 and his PhD in Computer Science
from Carnegie-Mellon University in 1983. In 1979 he joined
the Robotics Institute of Carnegie-Mellon University as a
Research Scientist. In 1980 he started and was appointed
Director of the Intelligent Systems Laboratory. He
co-founded Carnegie Group in 1984. Carnegie-Mellon University
appointed him Associate Professor of Computer Science and
Robotics in 1987. His research interests include knowledge
representation, constraint directed reasoning and applications
of artificial intelligence to engineering and manufacturing
problems.