-------- Original-Nachricht -------- 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
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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/ -------------------------------------------------------------------------------
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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