Download Foundations of Computational Intelligence

WCCI’2008
Panel Discussion
Foundations of Computational
Intelligence
The basis of Smart Adaptive Systems of the
future?
Bogdan Gabrys
Smart Technology Research Centre
Computational Intelligence research Group
Bournemouth University, UK
and
KES International Research Organisation
Acknowledgments
KES International
Innovation in Knowledge-Based & Intelligent
Engineering Systems
http://www.kesinternational.org/
The KES International organisation supports the community
that conducts research into the applications, tools and
techniques of artificially intelligent computer systems.
Nature-inspired Smart Information Systems
http://www.nisis.de/
EC funded Co-ordinated Action project currently
grouping 56 European academic and industrial
research centres.
1999 - 2000
NeuroNet
Neural Networks
ERUDIT
EvoNet
Fuzzy Systems &
Uncertainty
Evolutionary
Computation
MLNet
Machine Learning
CoIL
Cluster of Networks of Excellence on
Computational Intelligence and Learning
2001- 2005
EUNITE
European Network of Excellence on
Intelligent Technologies for Smart Adaptive Systems
> 100 European Centres from all CI related areas
2006-2009
NiSIS
Nature-inspired Smart Information Systems
Currently with 56 European Centres
EUNITE – Intelligent Technologies
for Smart Adaptive Systems
Do Smart Adaptive Systems Exist?
- Best Practice for Selection and
Combination of Intelligent
Methods
B. Gabrys, K. Leiviska and J. Strackeljan (eds.).
Published in the Springer series on "Studies in
Fuzziness and Soft Computing", Vol.173,
Springer-Verlag, 2005.
Panellists
Wlodek Duch
Nicolaus Copernicus University, Poland
Bogdan Gabrys
Bournemouth University, UK
Nik Kasabov
Auckland University of Technology, New Zealand
Computational intelligence, methods that facilitate
understanding of data, and algorithms inspired by
models of brain functions at different levels.
Computational intelligence/machine learning with focus
on nature-inspired approaches, data and information
fusion, learning and adaptation methods, multiple
classifier and prediction systems and applications.
Soft computing, neuro-computing, bioinformatics, brain
study, speech and image processing, data mining and
knowledge discovery.
Bristol University, UK
Soft computing in intelligent information management
including areas such as the semantic web, soft concept
hierarchies and user modelling. Fuzzy systems.
Jerry Mendel
Fuzzy systems and in particular type-2 fuzzy sets and
systems.
Trevor Martin
University of Southern California, USA
Tamagawa University, Japan
Computational modelling of human cognitive system
based on neuroscience and cognitive science
evidences.
Xin Yao
Evolutionary computation, neural network ensembles
and applications.
Takashi Omori
Birmingham University, UK
Questions
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Nature of CI
Current state of CI
Promoting CI
CI and Smart Adaptive Systems
CI and Nature-inspiration
Future of CI
Questions – Nature of CI
• What is Computational Intelligence?
• What is the difference between
Computational Intelligence and Artificial
Intelligence?
• Could the terms Computational
Intelligence, Soft Computing and Hybrid
Intelligent Systems be used
interchangeably?
Questions – Current state of CI
• What is the current state of the constituting
intelligent technologies in the context of
true adaptation and autonomous operation
of systems based on those?
• What is the level of integration of various
constituent intelligent technologies within
CI at the moment?
Questions – Promoting CI
• Theory vs applications. Do we need more
theory or better applications which fuelled
the Japanese fuzzy boom?
• Theory vs software. Which of these will
promote CI in the wider community?
Questions – CI and Smart Adaptive
Systems
• Are the hybrid intelligent methods, as we know
them, the best way forward or should we start
looking into completely new integrated
computational theories that can accommodate
the wide range of intellectual capabilities
attributed to humans and assumed necessary
for nonhuman intelligences?
• What is the major difference between
Computational Intelligence and human
intelligence?
• Assuming that CI theories can implement
"human intelligence" how is this validated?
Questions – CI and Natureinspiration
• Could nature and our growing
understanding of biological and other
natural mechanisms provide inspirations
for a major paradigm shift in the quest for
truly smart adaptive systems?
• If so which of the emerging bio/nature
inspired techniques could play such a
role?
Questions – Future of CI
• What do we expect to happen in the
Computational Intelligence area in the
next:
– 10 years?
– 20 years?
– 30 years?