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Archived Webcasts of the
IFSA/NAFIPS/SMC 2001
Open Forum
On the Future of Soft Computing
Wednesday, July 25, 2001
13:30 - 17:30
Many activities involve the management of uncertain information ranging
from the prediction of financial data to the understanding of biological
or behavioral activity. The resulting data is always incomplete, poorly recorded,
inconsistent, and often faulty. In addition, most of the data relies on subjective
perceptions and is therefore inherently imprecise. Soft computing provides
technologies for dealing with imprecise information using fuzzy logic, neural
networks, evolutionary computation, and other intelligent system technologies.
This event, which was open to all registered delegates at IFSA/NAFIPS 2001,
provided an open forum so that a distinguished panel of experts and the
audience could discuss and exchange their thoughts, concerns and ideas about
soft computing. These panel members, drawn from industry, universities, R&D
laboratories and institutes, and funding agencies, also explored the
future of soft computing. Issues such as the future needs and applications
for soft computing in telecommunications, financial engineering, biotechnology,
and the Internet were addressed. Also, the direction of research funding,
emerging research, and other professional interests related to soft computing
were emphasized.
The archived webcasts are available in Real Player  and Windows Media Player  format.
Moderator:
Lotfi A. Zadeh, BISC, University of California at Berkeley (Professor and
IFSA/NAFIPS 2001 Plenary Speaker)
- Opening Words
 
- Special Thanks
Panel Members:
- David Fogel, Natural Selection, Inc., USA (Chief Executive Officer)
- Michio Sugeno, Brain Science Institute, Japan (Laboratory Head and IFSA/NAFIPS 2001 Plenary Speaker)
- Hans-Jürgen Zimmermann, Aachen Institute of Technology (Professor Emeritus)
- David Patterson, Tripos Inc., USA (Senior Fellow)
- I. B. Türksen, University of Toronto, Canada (Professor and IFSA/NAFIPS 2001 Plenary Speaker)
- John Farrell, Harris Corp., USA (Information Assurance Design Lead)
- Paul Werbos, National Science Foundation, USA (Program Director)
- Gregg Garrison, Hanseatic Group Inc., USA (Head of Marketing)
Discussions:
- Panel Discussion
- Forum Discussion
Organizing Committee:
- Michael Berthold, Tripos Inc. (IFSA/NAFIPS 2001 Workshop Organizing
Committee Chair and Publicity Chair)
- William Gruver, Simon Fraser University (IFSA/NAFIPS 2001 General Co-Chair)
- Lawrence O. Hall, University of South Florida (IFSA/NAFIPS 2001
Program Chair)
- Michael Smith, University of California at Berkeley (IFSA/NAFIPS
2001 General Co-Chair)
Biographies of the Panel Members:
Lotfi Zadeh is a Professor in the Department of EECS, University of
California at Berkeley. In addition, he is serving as the Director of BISC
(Berkeley Initiative in Soft Computing). He is an alumnus of the University
of Teheran, MIT and Columbia University. He held visiting appointments at
the Institute for Advanced Study, Princeton, NJ; MIT; IBM Research Laboratory,
San Jose, CA; SRI International, Menlo Park, CA; and the Center for the Study
of Language and Information, Stanford University. His earlier work was concerned
in the main with systems analysis, decision analysis and information systems.
His current research is focused on fuzzy logic, computing with words and
soft computing, which is a coalition of fuzzy logic, neurocomputing, evolutionary
computing, probabilistic computing and parts of machine learning. The guiding
principle of soft computing is that, in general, better solutions can be
obtained by employing the constituent methodologies of soft computing in
combination rather than in stand-alone mode.
John Farrell holds a B.S. in Electrical Engineering and a M.S. in
Computer Science from University of South Florida. As part of his studies
he developed a rule partitioning program for parallel Expert Systems, and
a Fuzzy Marine Bio-assessment Expert System. He joined Harris Corporation
in 1995 where he has worked on several software projects, including an Expert
System based NRL system and a real time expert system for a status and control
system. He has spent the last 3 years in the development of a Fuzzy system
for correlating Information Assurance data obtained from 3rd party security
software tools.
David Fogel is chief executive officer of Natural Selection, Inc.,
La Jolla, CA. He has been applying computational intelligence methods to
real problems for 16 years. Dr. Fogel is the founding editor-in-chief of
the IEEE Transactions on Evolutionary Computation and is the author of over
200 publications in computational intelligence, including six books. Most
recently, he published "How to Solve It: Modern Heuristics," co-authored
by Z. Michalewicz (Springer, 2001). He was elected a Fellow of the IEEE in
1999. Dr. Fogel is general chairman of the 2002 IEEE World Congress on Computational
Intelligence, to be held May 12-17, 2002 in Honolulu, Hawaii.
Gregg Garrison is a graduate of the University of New Mexico, earning
both a MBA in Finance and International Management and a MA in Latin American
Studies (Economics and Political Science). During his studies, Mr. Garrison
worked for Hanseatic Group on strategic marketing, a proposed international
joint venture and a comparison of Hanseatic's financial methodology against
other technical systems. He has also worked with Hanseatic and an academic
institute to study non-linear systems, neural nets, financial engineering
and other alternative approaches in finance and economics. Since 1998, Mr.
Garrison has been Head of Marketing of Hanseatic's services to individual
and institutional clients.
David Patterson holds a B.S. in Applied Mathematics and Computer Science
and an M.S. in Systems Science from Washington University in St. Louis. He
was a Senior Research Scientist with the Center for Air Pollution Impact
and Trend Analysis from 1976 until joining Tripos in 1986. His positions
have included Product Manager for QSAR and Senior Director of New Products
prior to being promoted to Senior Fellow in March 1996. His current focus
is on bringing recent data mining advances into the field of drug discovery.
Michio Sugeno received his doctorate from the Department of Physics,
University of Tokyo and served as Research Associate, Associate Professor
and Full Professor at the Department of Control Engineering and Department
of Systems Science, Tokyo Institute of Technology. He is Head of the Laboratory
for Language-Based Intelligent Systems, Brain Science Institute, RIKEN in
Wako, Japan. Dr. Sugeno is the recipient of the Pioneer Award from the IEEE
Neural Network Council in 2000.
I. B. Türksen received his Ph.D. degree in Systems Management and
Operations Research in 1969 from the University of Pittsburgh, PA. He is
Professor of Applied Science and Engineering at the University of Toronto
and Director of the Information and Intelligent Systems Laboratory. Previously
he was Visiting Research Professor of the Laboratory for International Fuzzy
Engineering, Chair of Fuzzy Theory at Tokyo Institute of Technology, and
a Visiting Research Professor at the University of South Florida and Bilkent
University. Currently he is the President of IFSA. His current research interests
are on the foundations of fuzzy sets and logics, in particular on Type 2
fuzzy knowledge representation and reasoning, fuzzy truth tables and fuzzy
normal forms, and on applications of intelligent manufacturing and process
system models, and management decision support system models for analysis
diagnosis, prediction and intelligent control.
Paul Werbos holds degrees from Harvard and the London School of Economics
in economics international political systems, applied mathematics with a
major in quantum physics and a minor in decision and control, and applied
mathematics with an interdisciplinary PhD thesis. He taught courses at Maryland
in quantitative methods and global futures and performed research in intelligent
systems for policy application. He worked at the Department of Energy evaluating
and developing a wide range of energy forecasting models. In 1989 he joined
NSF as a program director in the ECS Division with emphasis on Neuroengineering.
Within the NSF Knowledge Modeling and Computational Intelligence area, his
main goal is to maximize the development and dissemination of step-by-step
advances in systems design that will lead to an understanding and replication
of the general kind of learning-based intelligence.
Hans-Jürgen Zimmermann is Professor Emeritus at the Aachen Institute
of Technology and Scientific Director of the European Laboratory for Intelligent
Techniques Engineering. He holds honorary doctorate degrees from the Free
University of Brussels and the Abo Akademi University, Finland. He has been
actively pursuing research in fuzzy set theory and its applications since
1972. His current research interests include fuzzy mathematical programming,
fuzzy control, fuzzy expert systems, fuzzy data analysis, and their application
to various areas, such as, strategic planning, managerial decision making,
and concurrent engineering. He supervises industrial projects in which these
methods are applied to industrial problems. He is also responsible for two
software houses engaged in operations research and intelligent software solutions.
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