[Fwd: [computational.science] CFP:ICAIS'09] - Cfp

25 Jan 2009


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Betreff: 	[computational.science] CFP:ICAIS'09
Datum: 	Sat, 24 Jan 2009 22:01:26 +0100
Von: 	Hamid Bouchachia hamid@isys.uni-klu.ac.at
Organisation: 	"OptimaNumerics"
An: 	Computational Science Mailing List 
computational.science@lists.optimanumerics.com
[Apologies if you receive multiple copies of this CFP]
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CALL FOR PAPERS
The 2009 International Conference on Adaptive & Intelligent Systems 
(ICAIS'09)
Sponsored by
IEEE Computational Intelligence Society
The International Fuzzy Systems Associtaion (IFSA)
The Austrian Federal Ministry of Science and Research
September 24th - 26st 2009
Klagenfurt, Austria
http://www.isys.uni-klu.ac.at/icais09/
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AIMS OF THE CONFERENCE
The ICAIS'09 conference aims at bringing together international 
researchers, developers and practitioners from different horizons to 
discuss the latest advances in system learning and adaptation. ICAIS'09 
will serve as a space to present the current state of the art but also 
future research avenues of this thematic. Topics of the conference cover 
three aspects: Algorithms & theories of adaptation and learning, 
Adaptation issues in Hardware, Applications.
ICAIS will feature contributed papers as well as world-renowned guest 
speakers (eee webpage), interactive breakout sessions, and instructional 
workshops. Conference Proceedings will be published by the IEEE Computer 
Society. Moreover, 4 special issues in well established journals are 
planned.
We are working hard to make ICAIS'09 a fruitful forum for exchanging 
research ideas pertaining to the field of adapative and intelligent 
systems.
IMPORTANT DATES:
Workshop/Special Session proposal: February 28, 2009
Full paper submission: April 30, 2009
Acceptance notification: June 20, 2009
Final camera ready: July 10, 2009
SCOPE OF THE CONFERENCE
Adaptation plays a central role in dynamically changing systems. It is 
about the ability of the system to "responsively" self-adjust upon 
change in the surrounding environment. Like in living creatures that 
have evolved over millions of years developing ecological systems due to 
their self-adaptation and fitness capacity to the dynamic environment, 
systems undergo similar cycle to improve or at least do not weaken their 
performance when internal or external changes take place. Internal or 
endogenous change bears on the physical structure of the system (the 
building blocks: hardware and/or software components) due mainly to 
faults and knowledge inconsistency. It requires a certain number of 
adaptivity features such as flexible deployment, self-testing, 
self-healing and self-correction. Extraneous change touches on the 
environment implication such operational mode or regime, 
non-stationarity of input, new knowledge facts, interference, etc.
  The two classes of change also shed light on the research avenues 
towards smart systems. To meet the challenges of these systems, a 
sustainable effort is necessary to develop intelligent hardware on one 
level and concepts and algorithms on the other level. The former level 
may concern various analog and digital adjustments but also 
self-healing, self-testing, reconfiguration and many other aspects of 
system development and maintenance. The latter level is concerned with 
developing algorithms, concepts and techniques which can rely on 
metaphors of nature and which are inspired from biological and cognitive 
plausibility. This two-fold plausibility is the basis for many 
computational models such as neural networks, evolutionary computation, 
probabilistic reasoning and many other soft computing and machine 
learning models.
  Taking stock of both classes of changes, a system must self-adapt its 
structure and self-adjust its parameters over time as changes occur. A 
fundamental issue is the notion of "self" which refers to the capability 
of the system to act and react on its own and which covers all stages of 
the system's working and maintenance cycle starting from online 
self-monitoring to self-growing and self-organizing.
  ICAIS intends to be a forum for researchers and practitioners from 
both communities: Hardware and Software (methods and algorithms) to 
discuss the recent advances of adaptive systems and their application in 
various practical domains. Target topics (but not limited to) are:
* Theories and Algorithms
         o Self growing neural networks
         o Online adaptive and life-long learning
         o Plasticity and stability
         o Forgetting
         o Unlearning
         o Online adaptive neuro-fuzzy rule-based systems
         o Online adaptive fuzzy identification systems
         o Adaptation in changing environments
         o Concept drift
         o Self-monitoring
         o Online diagnostics
         o Novelty detection
         o Time series prediction
         o Online and single-pass data mining
         o Online information routing
         o Online classification systems
         o Online clustering
         o Online regression
         o Online feature selection and reduction
         o Adaptive decision systems
         o Adaptive preference learning
         o Principles of self-organization
         o Methodologies of self-organization
         o Perception and evolution
         o Adaptivity and online learning models in computational 
intelligence:
               + Neural networks
               + Evolutionary computation
               + Swarm intelligence
               + Uncertainty and fuzziness modeling, etc
   * Applications : Adaptivity and learning in
         o Smart systems
         o Ambient / ubiquitous environments
         o Distributed intelligence
         o Intelligent agent technology
         o Robotics
         o Industrial applications
         o Internet
         o E-commerce, etc
* Hardware
         o Evolvable hardware
         o Bio-inspired architecture
         o Self-healing systems
         o Self-reconfigurable systems
         o Evolutionary hardware design
         o Evolutionary circuit sythesis
         o Evolutionary Robotics
         o Hardware/Software co-evolution
         o Adaptive Hardware
         o Embryonic hardware
         o Evolutionary circuit diagnostics and testing
         o MEMS and nanotechnology in evolvable hardware
SUBMISSION:
Papers must be in PDF, not exceeding 6 pages and conforming to IEEE 
Specifications and submitted through the submission system 
(http://www.isys.uni-klu.ac.at/icais09/openconf/openconf.php). Short 
papers describing novel research visions, work-in-progress or less 
mature results are also welcome. All submission will be peer-reviewed by 
at least 3 qualified reviewers. Selection criteria will include: 
relevance, significance, impact, originality, technical soundness, and 
quality of presentation. Preference will be given to submissions that 
take strong or challenging positions on important emergent topics. At 
least one author should attend the conference to present the paper. The 
conference proceedings which will be published as a hardcopy by the IEEE 
Computer Society, will be available at the conference.
POST-CONFERENCE PUBLICATION:
A selected number of accepted and personally presented papers will be 
expanded and revised for possible inclusion in special issues of 
international journals:
- Neurocomputing (Elsevier)
- Transactions on Computational Science (Springer)
- Journal of Circuits, Systems and Computers (World Scientific)
- International Journal of Electronics (Taylor & Francis)
ORGANIZATION COMMITTEE
Honorary Chair:
Janus Kacprzyk, Polish Academy of Sciences, Poland
General Chairs:
Hamid Bouchachia, University of Klagenfurt, Austria
Nadia Nedjah, State University of Rio de Janeiro, Brazil
Program Chairs:
Witold Pedrycz, University of Alberta, Canada
Luiza de Macedo Mourelle, State University of Rio de Janeiro
Local Organization Chairs:
Hamid Bouchachia, University of Klagenfurt, Austria
Roland Mittermeir, University of Klagenfurt, Austria
Kyandoghere Kyamakya, University of Klagenfurt, Austria
Publicity Chairs:
Aboul-Ella Hassanien, Cairo University, Egypt
Chang-wook Han, Dong-Eui University, Korea
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