[Extended submission deadline]: The 2014 International Conference on Adaptive & Intelligent Systems - ICAIS'14 September 08th - 10th, 2014 Bournemouth, UK

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Full paper submission: June 22, 2014

* * * CALL FOR PAPERS  * * *
The 2014 International Conference on Adaptive & Intelligent Systems - ICAIS'14
September 08th - 10th, 2014
Bournemouth, UK
Sponsored by
- IEEE Computational Intelligence Society
- The International Neural Network Society

* * * PLENARY TALKS * * *
Prof. Ludmila I Kuncheva, Bangor University, UK
(Talk: Feature Extraction for Change Detection)

Prof. João Gama, University of Porto Porto, Portugal
(Talk: Distributed Data Stream Mining)

Prof. Kurt Geihs, University of Kassel, DE
(Talk: Music Lessons and Other Exercises)

The ICAIS'14 conference aims at bringing together international researchers, developers and practitioners from different horizons to discuss the latest advances in system learning and adaptation.
ICAIS'14 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 Software & System Engineering, Real- world Applications.  ICAIS’14 will feature contributed papers as well as world-renowned guest speakers (see webpage), interactive breakout sessions, and instructional workshops.
* * * IMPORTANT DATES (extended submission deadline!)* * *
- Workshop & Special Session proposal: April 13, 2014
- Full paper submission: June 22, 2014
- Acceptance notification: July 06, 2014
- Final camera ready: July 16, 2014
Proceedings will be published by Springer in Lecture Notes in Artificial Intelligence Series.

A selected number of accepted and personally presented papers will be considered for possible inclusion in one of the following special issues or book:
- Special Issue of Evolving Systems (Springer) on Clustering and Classification in Dynamic Environments.
- Special Issue of Neurocomputing (Elsevier) on Neurocompting for Dynamically Changing Systems.
- Book in the Series of Studies in Computational Intelligence (Springer).
* * * MAIN TOPICS (but not limited to) * * *
    - Track 1: Incremental Learning
          o Online incremental learning
          o Self-growing neural networks
          o Adaptive and life-long learning
          o Plasticity and stability
          o Forgetting
          o Unlearning
          o Novelty detection
          o Perception and evolution
          o Drift handling
          o Adaptation in changing environments
    - Track 2: Online Processing
          o Adaptive rule-based systems
          o Adaptive identification systems
          o Adaptive decision systems
          o Adaptive preference learning
          o Time series prediction
          o Online and single-pass data mining
          o Online classification
          o Online clustering
          o Online regression
          o Online feature selection and reduction
          o Online information routing
    - Track 3: Dynamic and Evolving Models in Computational Intelligence
          o (Dynamic) Neural networks architectures
          o (Dynamic) Evolutionary computation
          o (Dynamic) Swarm intelligence
          o (Dynamic) Immune and bacterial systems
          o Uncertainty and fuzziness modeling for adaptation
          o Approximate reasoning and adaptation
          o Chaotic systems

    - Track 4: Self-X Systems
          o Self-adaptation
          o Self-organization and behavior emergence
          o Self-managing
          o Self-healing
          o Self-monitoring
          o Multi-agent systems
          o Self-X software agents
          o Self-X robots
          o Self-organizing sensor networks
          o Evolving systems
    - Track 5: Software & System Engineering
          o Autonomic computing
          o Organic computing
          o Evolution
          o Adaptive software architecture
          o Software change
          o Software agents
          o Engineering of complex systems
          o Adaptive software engineering processes
          o Component-based development
    - Track 6: Applications - Adaptivity and Learning
          o Smart systems
          o Ambient / ubiquitous environments
          o Distributed intelligence
          o Robotics
          o Industrial applications
          o Internet applications
          o Business applications
          o Supply chain management
          o etc.
* * * SUBMISSION  * * *
Papers must be in PDF, not exceeding 10 pages and conforming to Springer-Verlag Lecture Notes guidelines. Author instructions and style files can be downloaded at http://www.springer.de/comp/lncs/authors.html.
Papers must be submitted through the submission system ( http://computing.bournemouth.ac.uk/ICAIS/ ). 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 have to attend the conference to present the paper.
General Chair:
- Abdelhamid Bouchachia, Bournemouth University, UK
International Advisory Committee:
- Nikola Kasabov, Auckland University, New Zealand
- Xin Yao, University of Birmingham, UK
- Djamel Ziou, University of Sherbrooke, Canada
- Plamen Angelov, University of Lancaster, UK
- Witold Pedrycz, University of Edmonton, Canada
- Janusz Kacprzyk, Polish Academy of Sciences, Poland
Organization Committee:
- Hammadi Nait-Charif, Bournemouth University, UK
- Emili Balaguer-Ballester, Bournemouth University, UK
- Damien Fay, Bournemouth University, UK
- Jane McAlpine, Bournemouth University, UK
Publicity Chair:
- Markus Prossegger, Carinthia University of Applied Sciences, Austria
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