IEEE Computational Intelligence Magazine - August 2018 - 6
systems behaviour in deceptive and
noisy environments."
The workshop was very successful
and offered excellent opportunities for
IEEE CIS to promote its research developments. It provided a high-level international forum for scientists, engineers,
students and educators to learn state-ofthe-art research and applications in
computational intelligence.
************************
More questions for the CI experts.
While the IEEE CIS ExCom members were visiting for the workshop,
UTS also took the opportunity to ask
them a few questions about computational intelligence, and captured it on
film. The resulting answers were very
insightful. Transcripts of some of these
answers are included below.
Q: What is the difference between
Artificial Intelligence (AI) and Computational Intelligence (CI)?
Answer from Prof. Nikhil R. Pal
I think we need to look at the history, AI formally started in late 1950's and
at that time the emphasis was on symbolic information processing, logical
reasoning-you know, the success stories of expert systems and other things.
At that time they (AI) did not give
much emphasis on learning or reasoning based on data. Research in compu-
From left to right: Dist. Prof. CT Lin, Dist. Prof. Jie Lu (UTS), Prof. Nikhil R. Pal (President), Prof.
Pablo Estevez, Dist. Prof. James Keller, Dist. Prof. Pau-Choo (Julia) Chung, Prof. Bernadette
Bouchon-Meunier, Jo-Ellen Snyder, guest (IEEE Computational Intelligence Society).
tational neural networks (NN) started
earlier-the first computational model
of neuron was proposed in the 1940's.
At the beginning AI people never
considered NN a part of AI but with
time, when CI and in particular NN,
which is one of the major pillars of CI,
started giving really superb results,
everybody [now] considers NN, especially deep NN [deep learning] as a part
of AI.
Q: What have been some of the
most successful applications of AI?
Answer from Dist. Prof PauChoo (Julia) Chung
Currently [CI is] used in image
understanding, large image understand-
ing, autonomous systems and smartenvironment understanding [and many
other applications].
In this kind of environment it's hard
for humans to know what kind of rule
you can embed, so you can use the
algorithm very precisely to do that. In
that case our society [has built] up this
technique, to let the algorithm learn the
situation, learn the environment and
learn from the data so that it will
become smarter and out-perform the
traditional approaches.
Q: What are the current challenges
in AI and robotics?
Answer from Prof. Bernadette
Bouchon-Meunier
Members of the IEEE Computational Intelligence Society with UTS hosts, IEEE Student Board volunteers, staff, and students.
6
IEEE CompUTATIonAl InTEllIGEnCE mAGAzInE | AUGUST 2018
Table of Contents for the Digital Edition of IEEE Computational Intelligence Magazine - August 2018
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