CFP: Swarm Intelligence and Patterns

Vitorino RAMOS vitorino.ramos at
Mon Feb 9 00:37:29 EST 2004


   Web site:

   Int. Workshop Session at ISDA'04 - 4th International
   Conference on Intelligent Systems,  Design and

   Conference dates: August 26-28, 2004.
           Location: Budapest,Hungary.

   Vitorino Ramos (CVRM-IST, Technical University of Lisbon, PORTUGAL),
   Ajith Abraham (Bio-Inspired Grid Lab, Oklahoma State University, USA).


Paper submission Due (full paper) : April 1, 2004
Notification of acceptance: May 10, 2004
Camera ready papers and authors' registration : June 10, 2004
Conference - August 26-28, 2004. Budapest, Hungary.


Self-organizing intelligent complex systems typically are comprised of a 
large number
of frequently similar components or events. Through their process, a 
pattern at the
global-level of a system emerges solely from numerous interactions among 
the lower-level
components of the system. Moreover, the rules specifying interactions among 
the system's
components are executed using only local information, without reference to 
the global pattern,
which, as in many real-world problems is not easily accessible or possible 
to be found.
Stigmergy, a kind of indirect communication and learning by the environment 
found in social
insects is a well know example of self-organization, providing not only 
vital clues in order
to understand how the components can interact to produce a complex pattern 
and engineer
applications, as can pinpoint simple biological non-linear rules and means 
to achieve an
improved design of artificial intelligent systems.

SWARM INTELLIGENCE is precisely a relatively novel discipline devoted to 
the study of
self-organizing collective processes in Nature and Human artefacts as well 
as on their
applications. An example of particularly successful research direction in 
swarm intelligence
is ant colony optimization (ACO), which focuses on discrete optimization 
problems, and has
been applied successfully to a large number of hard discrete optimization 
problems including
the travelling salesman, the quadratic assignment, scheduling, vehicle 
routing, etc., as well
as to routing in telecommunication networks.

However, apart from the remarkable successful applications in optimization 
as well as on their
critical features as a bio-inspired computational paradigm, a small number 
of works have still
been devoted to Data Classification and Retrieval Systems, Clustering, 
Pattern Recognition,
Distributed Data-Mining, Web Mining and GRIDS, Collaborative Filtering, 
Image Analysis and
Signal Processing, Pattern Formation, Perception, Memory and Generalization.
At the present section we seek to explore the applicability of these 
bio-inspired approaches
to the development of self-organizing, evolving, adaptive and autonomous 
information technologies,
which will meet the requirements of next-generation information systems, 
such as diversity,
scalability, robustness, and resilience.


Topics of interest include, but are not limited to, applications and theory 
dealing with any
aspect of Swarm Intelligence, Pattern Recognition, Data and Image 
Processing, as:

- Intelligent Systems Design.
- Advanced Signal and Image processing algorithms.
- Pattern Recognition and Emergent Behaviour.
- Data Categorization, Visualization. Data and Knowledge Extraction / 
- Feature Extraction and Selection. Unsupervised Learning.
- Information Systems.
- Collective Intelligence and Search. Exploring versus Exploiting.
- Artificial Habitats and Information.
- Exploratory Data Analysis. Data-Mining.
- Cognition, Interactivity, Signals and Communication.
- Bottom-up Strategies and Non-Hierarchical Systems.
- Adpative Systems and Self-Configuration.
- Mapping Concepts, Cognitive Maps and Self-Organizing Maps.
- Complex Adaptive Systems.
- Stigmergy, Self-Organization, Metamorphosis, Emergence and Co-Evolution.
- Artificial Life as well as other Animal Societies bio-inspired algorithms.
- Artificial Societies and Web-based Communities.
- Wireless Communication, Cellular Systems, Indirect Communication through 
- Social Networks and New Media.
- Artificial Immune Systems and Self-Organization.
- Classification, Sorting, Data Retrieval, Clustering.
- Web Mining, Semantic Web, Collaborative Mining, GRIDS, Network security.
- Auto-Catalysis, Positive and Negative Feedbacks, Cybernetics.
- Swarm and Cooperative Robotics.
- Distributed algorithms, self-regulation, self-repair and self-maintenance 
- Biomedical, multimedia and e-commerce applications.
- Collective on-line Games. iDesign, Active aLif(v)e Art and e-Artefacts.
- Generative and Computational Art.
- Hybridization with other methods (e.g. Evolutionary Computation and 
Neural Networks).


All accepted papers should follow IEEE format (check ISDA Call for Papers).
Submitted papers have to be original, 6 pages long, containing new and 
original results.
Author's guidelines and format instructions can be downloaded from the 
following links: and .
Please send the full paper as an email attachment to:
Vitorino Ramos 
<mailto:vitorino.ramos at>vitorino.ramos at with 
a cc to <mailto:ajith.abraham at>ajith.abraham at .

Vitorino Ramos: vitorino.ramos at 
Ajith Abraham: ajith.abraham at []


# ANTS'2004 - 4th Int. Wkshp on ACO and Swarm Intelligence,
Brussels, Belgium, Sep 5-8 2004 [].
# ESOA'2004 - 2nd Int. Wkshp on Engineering Self-Organising Applications,
New York, USA, July 19 or 20 2004 
# WCLC'2004 -1st World Congress on Lateral Computing,
Bangalore, India, Dec. 17-19 2004 [].


More information about the Comp-bio mailing list