Connectionists: Call For Papers: WCCI 2006 Special Session on "Computational Intelligence Based on Lattice Theory"

[Kaburlasos Vassilis]

CALL FOR PAPERS

2006 IEEE Congress on Computational Intelligence (WCCI 2006)
Vancouver, Canada, 16-21 July 2006
http://www.wcci2006.org/


FUZZ-IEEE approved special session on

            "Computational Intelligence Based on Lattice Theory"

Organized by
Vassilis G. Kaburlasos (Technological Educational Institution of Kavala),
Gerhard X. Ritter (University of Florida), Michael Georgiopoulos
(University of Central Florida)

URL: http://iiu.teikav.edu.gr/users/vgkabs/WCCI2006.htm


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Scope:

Rooted in neural computing the employment of lattice theory emerges
lately in computational intelligence with the potential to cross-fertilize
several domains including, as well, fuzzy systems, machine learning,
probabilistic reasoning, etc. Genetic algorithms are often employed for
tuning performance. 

Lattice theory has already been used to improve analysis and design of
popular neurocomputing paradigms. For instance, granular extensions
of both Carpenter's fuzzy adaptive resonance theory (ART) and
Kohonen's self-organizing maps (SOM) have been presented in the
literature based on lattice theory. Lattice algebra is also employed in
several computational intelligence domains. Another promising application
for lattice theory is fuzzy inference systems. Furthermore, a "principled design"
of a model based on disparate types of data (e.g. vectors of numbers, images,
text structures, logical relations, concepts, (fuzzy) sets and graphs) can be
pursued using lattice theory. Hence, lattice theory emerges as a sound
foundation for unifying rigorously diversity in computational intelligence. 

This special session is meant as a forum for researchers with interests in
computational intelligence applications of lattice theory. The objective is to
present high-quality, state-of-the-art research results. An array of novel
mathematical tools, design practices and real world applications will be
presented. Emphasis is on system modeling, knowledge representation,
data mining, and industrial/environmental applications. Topics of interest
include but are not limited to 

.  Lattice algebra neural networks
.  Fuzzy lattice neurocomputing
.  Fuzzy adaptive resonance theory
.  Fuzzy mathematical morphology
.  Fuzzy implications
.  Fuzzy similarity measures 
.  Fuzzy system modeling
.  Probabilistic reasoning
.  Granular computing
.  Data mining
.  Lattice-interval/hyperbox learning
.  Disparate data fusion
.  Semantic Web 
.  Knowledge representation
.  Formal concept analysis
.  Category theory
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