September 27-28, 2004 in
Los Angeles, California
Skirball Museum
Monday, September 27, 2004
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• New architectures
• Computational models
• Distributed intelligent systems
• Complexity and software
• Robust networks and systems
• Self-sustaining/self-configuring systems
• Multi-agent systems
• Sociocultural complexity
Computing systems are inherently
complex and growing more so. We are now close to hitting
the complexity “wall,” a
wall that threatens to hamper growth. Our hardware
and software systems have become so complex and so
hard to maintain, that it’s nearly impossible
to think about or envision them as a whole. Complexity
rears its ugly head both for systems put together from
a few extremely complex components and for those developed
and deployed with very large numbers of simple units.
The resulting systems are increasingly brittle and
respond to change in highly unpredictable ways. These
systems are also labor intensive and are costly to
maintain.
In complex systems, we understand
the individual components, but often cannot predict
or control the
overall system.
The future will require more performance and flexibility,
thereby increasing complexity. How will this play
out when we aren’t coping well with the complexity
we’ve already created?
New principles, tools
and techniques are needed. How can we redesign
computer architectures, software,
and
systems to create more robust systems? Systems
of the future must be able to automatically and autonomously
adapt, maintain, repair and heal themselves. Increasingly,
we’re using models and metaphors borrowed
from biology to find new solutions. Will we be
able to
predict system behavior, and will we be able to
get synchronized
behavior from non-synchronized events? Will we
be in a position to deal with emergent behavior?
The
study of complexity must involve mathematicians,
social engineers, technologists, computer scientists,
economists, and biologists. As we build new devices
that each contain a computing environment, how
can complexity be controlled? How can we satisfactorily
integrate new systems into our everyday lives? back to top
Dr. Eric Bonabeau, Chairman and
Chief Scientific Officer, Icosystem Corp.
Dr. Steve Burbeck, Senior
Technical Staff Member, IBM Software Group
Dr. David Clark, Senior
Research Scientist, MIT Laboratory for Computer Science
Dr. Paul Cohen, Professor
of Computer Science, University of Massachusetts,
Amherst
Dr. Richard Doyle, Manager,
Information Technology Program Office, Jet Propulsion
Laboratory
Dr. Janet Efstathiou, University
Lecturer, Engineering Science, Oxford University
Mr. Alan Ganek, Vice President,
Autonomic Computing, IBM
Dr. Danny Hillis, Co-Chairman
and Chief Technology Officer, Applied Minds, Inc.
Dr. Bernardo Huberman, Senior
HP Fellow and Director, Information Dynamics Lab
at HP Laboratories
Dr. Gail Kaiser, Director,
Programming Systems Lab, Columbia University
Dr. Richard Murray, Professor
of Control and Dynamical Systems, CalTech
Dr. Charles Simonyi, President
and CEO, Intentional Software Corp.
Dr. Joseph Tainter, Project
Leader, Cultural Heritage Research Project, Rocky
Mountain Research Station
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Dinner at the Skirball Museum, hosted by Dr. Uri Herscher,
President and CEO, Skirball Cultural Center. The evening
includes a private tour of the new Einstein exhibit,
the most comprehensive presentation ever mounted on
the life and theories of Albert Einstein. Einstein
at the Skirball is made possible in collaboration with
The California Institute of Technology, The J. Paul
Getty Trust, and University of Southern California.
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