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We are very happy to be organizing this workshop on the grand challenges
of Computational Intelligence
we are very honored to have
a list of
some of the world experts in Computational Intelligence and
hopefully these
discussions and
techniques that have been discussed will be
disseminated
and used to promote Computational Intelligence
in the future
the idea is to bring world experts
together to discuss some of the key challenges of Computational Intelligence
and since we were meeting here for the Executive Committee of the Computational Intelligence
Society
we organized this workshop which we plan to disseminate
and with the main objective to promote the area of Computational Intelligence
also to funding agencies as well as to researchers around the world
Computational Intelligence
is a way of borrowing from nature
and coming up with solutions to difficult problems which are either nature-inspired, or
linguistically inspired
for instance neural networks is inpired from the topology of the brain synapses,
fuzzy sets
and fuzzy logic logic is inspired from the
linguistic way in which people communicate knowledge
and evolutionary computation is inspired by evolution, through nature
so the survival of the fittest
tends to create the best solution for our problems. It sounds very esoteric but it's really
down to earth
What we have been able to do, is master a set of techniques
which are being translated into technologies and have a lot of
applications in the real-world problems. I work for General Electric and we have
many
real problems that have been solved using these techniques
This workshop is an interesting idea in not just in trying to see what we have
done, but where we are going
so the challenges for the future basically is a problem formulation
is not just trying to solve the problems of the past, is what are the new set of
problems, that, because of the dynamics of the world in which we live,
and the development of technologies
we would have to face, actually sooner rather than later,
and I believe for instance, with the advent of cloud computing that is changing
business models and is changing the way services are delivered, is also going to change
the way research have to be done, to develop
the technologies
to support those services
The other factor is crowd-sourcing which is how people are now becoming an
active part
in the solution
that should be an indistinguishibility between human an computer agents
and a nice complementarity
Competition Intelligence is a very exciting research area
covered by the IEEE Computational Intelligence Society. It covers two
directions of research
in one direction we can be inspired and borrow ideas from natural
systems, not only biological systems but we also look at also social systems, physical
systems, and
those inspirations help us in developing better and more efficient
artificial systems. For example new computer models and new computer algorithms.
The other directions is also essential in our understanding of
science, and the progress of science, is to use the nature-inspired approach in
understanding the natural systems
not only can we get a better understanding of
these complex systems like the biological brain
we can also gain insights into social systems, into physical systems
making contributions to the natural sciences. This are very interesting and very important
interactions
between two large fields: one,
on one side
we have these computational systems which are artificial
on the other side
we have natural systems
and Competition Intelligence is linking the two sides together in a very exciting way