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International Programme Committee

Hybrid Special Session Proposal for WCCI 2012


'Applications of Computational Intelligence in Education and Disability to Benefit Society'


Organizers: Keeley Crockett, Bernadette Bouchon-Meunier, Gary Yen, Gérard Dreyfus, Vincenzo Piuri

 

 


Aims


The aim of this session is to focus on new developments in the use of computational intelligence systems in the fields of education and disability which have had an impact on the lives of members of society. Disabilities cover limits in activity a human has in performing a task or action, impairments in a specific body function and inability to be involved in a life situation. Educational applications focus on intelligent teaching and learning systems that offer personalized learning to individuals based upon work- life-health balance.


Over the last few years there have been significant applications in society which use fuzzy, neural, evolutionary and hybrid systems in nurturing professions such as education, health care and social care which have shown to make a significant difference to peoples everyday lives and provide measurable benefits.
Due to the nature of Computational Intelligence systems, the transition of theoretical research into real-world applications has enabled solutions to be found to problems in a wide variety of domains. However, the impact of these solutions on members of society is not often transferred back in to the research community collectively. Experiences from users on the use of such systems would enhance further improvements and research directions in the future.


Objectives and Scope


The main objective of the session is to provide a forum to disseminate and discuss recent and significant research efforts in real-world educational and disability focused applications in Computational Intelligence which have significantly benefited society.


A further objective of the session is to show how recent academic research has been transferred into industrial and public organisational environments. Papers should show how the public has effectively engaged with the application and should consider the societal implications and public attitudes, alongside others, in the conduct and use of research.


New, unusual and hybrid approaches used to create such applications are particularly encouraged and should clearly reflect the benefit to society. The session is therefore open to high quality submissions from researchers who should present original research and applications including innovative results.


Such applications should utilise the following topic areas of computational intelligence (but are not limited to):


  • Genetic Computational Intelligence Systems including adaptive, hierarchical, evolutionary, neural and nature-inspired systems
  • Hybrid systems of computational intelligence techniques
  • Fuzzy image, speech and signal processing, vision and multimedia
  • Fuzzy control and robotics
  • Fuzzy optimization and design, decision analysis and support
  • Fuzzy data analysis - clustering and classifiers, pattern recognition, bio-informatics
  • Fuzzy information processing - information extraction and retrieval, fusion, text mining
  • Knowledge discovery, learning, reasoning, agents, knowledge representation
  • Type II fuzzy sets, computing with words, fuzzy human computer interaction
  • Neural network theory & models
  • Computational neuroscience
  • Learning and adaptation Pattern recognition
  • Cognitive models Machine vision and image processing
  • Brain-machine interfaces Collective intelligence
  • Neural control Hybrid systems
  • Evolutionary neural systems Self-aware systems
  • Neurodynamics and complex systems Data mining
  • Neuroinformatics Sensor networks and intelligent systems
  • Neural hardware Applications
  • Neural network applications Computational biology
  • Neuroengineering Bioinformatics
  • Ant colony optimization Molecular and quantum computing
  • Artificial life Particle Swarm Optimization
  • Agent-based systems Artificial immune systems
  • Bioinformatics and bioengineering Representation and operators
  • Coevolution and collective behavior Industrial applications of EC
  • Combinatorial and numerical optimization Evolutionary game theory
  • Constraint and uncertainty handling Cognitive systems and applications
  • Evolutionary data mining Computational finance and economics
  • Evolutionary learning systems Estimation of distribution algorithms
  • Evolvable/adaptive hardware and systems Evolutionary design
  • Evolving neural networks and fuzzy systems Evolutionary scheduling
  • Application optimization, decision analysis, decision making, multi-criteria decision making
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