[Swarm-Modelling] cfp - SWARM INTELLIGENCE AND PATTERNS 2006 ( SIP´06 )

[Vitorino RAMOS]

<< PLEASE ACCEPT OUR APOLOGIES IF YOU RECEIVE MULTIPLE COPIES >>


SWARM INTELLIGENCE AND PATTERNS 2006 (SIP´06)

http://alfa.ist.utl.pt/~cvrm/staff/vramos/SIP06.html

3rd Int. Workshop Session at ISDA 2006 - 6th IEEE International Conference 
on Intelligent
System Design and Applications, Jinan, Shandong, CHINA, October 16-18, 2006


Session Chairs:

Vitorino Ramos (CVRM-IST, Technical Univ. of Lisbon, Lisbon, PORTUGAL) and
Ajith Abraham  (Chung Ang Univ., Seoul, South Korea).

SCOPE AND CALL FOR PAPERS:

 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.

 SIP 2006 constitutes the 3rd edition of this International Workshop 
series. The first ones were held within ISDA'04, Budapest, Hungary, and 
WSTST '05, Muroran, Japan.

TOPICS OF INTEREST include, but are not limited to, applications and theory 
dealing with any aspect of Swarm Intelligence, and Pattern Recognition, 
Data and Image Processing, Artificial Habitats and New Media as:

- Intelligent Systems Design.
- Advanced Signal and Image processing algorithms.
- Pattern Recognition and Emergent Behaviour.
- Data Categorization, Visualization. Data and Knowledge Extraction / 
Representation.
- Feature Extraction and Selection. Unsupervised Learning.
- Information Systems and Knowledge Management.
- Collective Intelligence, Behaviour 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.
- Particle Swarm / Cultural Algorithms.
- Complex Adaptive Systems.
- Stigmergy, Self-Organization, Metamorphosis, Emergence and Co-Evolution.
- Artificial Life as well as other Animal Societies bio-inspired algorithms.
- Flocks, Herds and Schools.
- Artificial Societies and Web-based Communities.
- Wireless Communication, Cellular Systems, Indirect Communication through 
artefacts.
- 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.
- Swarms and Cooperative Robotics.
- Distributed algorithms, self-regulation, self-repair and self-maintenance 
ontologies.
- 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).

PAPER SUBMISSION:

All accepted papers should follow the IEEE CS style format. Authors can use 
the style IEEE_CS_Latex.zip and the ISDA2006_word_format.doc included in 
8.5x11-Formatting files.zip  file together with macros and author 
guidelines. Prospective authors are invited to submit full paper of 6 pages 
(Letter or A4 format) by the submission deadline.
You can find additional information using 
ftp://pubftp.computer.org/Press/Outgoing/proceedings/.
Please send the full paper (PDF) as an email attachment to Vitorino Ramos 
with a cc to Ajith Abraham no longer than May 15, 2006.
Accepted papers will be published by IEEE Computer Science.


IMPORTANT DATES:

Paper submission due (full paper) / Deadline:May 15, 2006.
Notification of acceptance: June 15, 2006.
Deadline for camera ready papers and authors' registration: July 10, 2006.
Conference: Jinan, Shandong, CHINA, October 16-18, 2006.


CONTACTS:

Vitorino Ramos: address@hidden
Ajith Abraham: address@hidden

~ v. ramos, http://alfa.ist.utl.pt/~cvrm/staff/vramos, "Interactions among 
many sporuliferous and ubiquitous abstractions may lead to increasing 
reality", V. Ramos, 2001.