22nd EUROPEAN Conference
on Modelling and Simulation

 ECMS 2008

June 3rd - 6th, 2008
Nicosia, Cyprus

     

SIMULATION OF INTELLIGENT SYSTEMS (IS)

In today’s world, there is an ever-increasing need for intelligent systems, systems that can learn and adapt to a changing environment. In order to achieve this, intelligent systems usually incorporate or are based on models or simulations of the environment. The intelligent system track will provide a forum for the presentation and discussion of recent research and applications of simulations for intelligent systems. It aims to encourage and to facilitate interdisciplinary communication amongst university researcher and industry professionals applying techniques such as evolutionary and genetic algorithms, fuzzy logic and artificial neural network models.

 Topics of interest include:  

  • computational intelligence and cognitive systems, 
  • fuzzy systems, 
  • evolutionary and genetic algorithms, 
  • artificial neural networks, 
  • rule-based systems,
  • case-based reasoning, 
  • methodologies, models and algorithms,
  • tools. 

 Papers dealing with the applications of computational intelligence in a widest sense are welcome - examples include:  

  • classification, 
  • data analysis, 
  • decision support,
  • forecasting, 
  • knowledge acquisition, 
  • planning, 
  • pre-processing of data, 
  • process control, 
  • robotics, 
  • speech and image recognition, 
  • web intelligence,
  • hybrid systems which combine different techniques, 
  • simulation tools for research, education, development, 
  • neural networks models of  systems, 
  • optimization.

  • Track chair: Lars Nolle
    School of Computing and Informatics
    Nottingham Trent University
    Burton Street
    Nottingham, NG1 4BU, United Kingdom
    Tel.: +44 (0)115 848 6021
    E-mail: lars.nolle"at"ntu.ac.uk 
  • Co-chair: Ivan Zelinka
         Faculty of Applied Informatics
    Tomas Bata University in Zlin
    Nad Stranemi 4511
    762 72 Zlin
    Czech Republic
    Tel:  +420 57 603 5192
    Fax: +420 57 603 5279
    E-mail: zelinka"at"fai.utb.cz 

 

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