CINC 2009 - 2009 International Conference on Computational Intelligence and Natural Computing (CINC 2009)

The fields of computational intelligence and natural computing seek to apply approaches inspired by natural processes for the solution of problems that are resistant to traditional methods. Both of these fields have become broad, with contributions from researchers in mathematics, physics, computer science, linguistics, neuroscience, biology, psychology, cognitive science and various engineering disciplines. When disparate disciplines pursue similar research agendas, it is often the cases that too little cross fertilization of ideas occur. Thus, the International Conference on Computational Intelligence and Natural Computing, 2009 (CINC 2009) seeks to foster the interdisciplinary exchange of ideas leading to significant advances in machine intelligence. The conference will provide a truly unique forum for presentation and collaboration across disciplines. The organizers seek high-quality original papers that contribute to this goal. All topics relating to computational intelligence and natural computing are welcome and new, unusual and hybrid approaches are particularly encouraged. Both theoretical (new algorithms, analyses, etc.) and applied (implementations, applications, etc.) papers are solicited. All papers will be puiblished by IEEE Computer Society.

The CINC 2009 conference provides a forum for engineers and scientists in academia, industry, and government to address profound issues including technical challenges, safety, social, legal, political, and economic issues, and to present and discuss their ideas, results, work in progress and experience on all aspects of computational intelligence and natural computing. Topics of particular interest include, but are not limited to:

Ant Colony Optimization
Computational Intelligence
Intelligent Systems
Neural Networks
Artificial Immune Systems
Connectionism
Knowledge Discovery
Particle Swarm Optimization
Artificial Life
Data Mining
Learning and Memory
Pattern Recognition
Associative Memory
DNA Computing
Machine Learning Probabilistic Reasoning
Biological Computing
Computation
Neurocognition
Reinforcement Learning
Bioinformatics Feature Extraction
Neurodynamics
Support Vector Machines
Cognitive Science
Intelligent Control
Neurofuzzy Systems
Swarm Intelligence