Welcome to UKCI 2010, the 10th Annual Workshop on Computational Intelligence, this year being hosted by the University of Essex, from September 8-10 inclusive.

UKCI is the premier UK event for presenting leading research on all aspects of computational intelligence. For information about the scope and background of the workshop please read the Call for Papers and What is CI? pages.

The conference will include keynote talks by internationally leading researchers, as well as regular oral and poster sessions.

The conference is technically co-sponsored by the IEEE Computational Intelligence Society, and all accepted papers will be published on IEEE Xplore.

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UKCI 2010, the 10th Annual UK Workshop on Computational Intelligence, invites contributions of papers (of up to six pages) on topics including, but not limited to:

Artificial Neural Networks

Supervised, unsupervised & reinforcement learning; neuro-informatics; computational neuroscience; neural dynamics & complex systems; connectionist cognitive science; neural optimisation & dynamic programming; kernel methods; graphic models; autonomous mental development; neural control & cognitive robotics; data analysis & pattern recognition; image & signal processing.

Fuzzy Logic

Fuzzy logics & fuzzy set theory; fuzzy optimization & design; fuzzy system architectures & hardware; fuzzy pattern recognition & image processing; fuzzy control & robotics; fuzzy data mining & forecasting; fuzzy information retrieval; fuzzy human interface; fuzzy internet & multimedia; extensions to fuzzy methods; computing with words; granular computing.

Evolutionary Computing

Representation and operators; genetic programming; combinatorial & numerical optimisation; co-evolution & collective behaviour; multi-objective evolutionary algorithms; evolutionary design; evolvable hardware; evolvable software; evolving learning systems; evolutionary intelligent agents; developmental systems; molecular & quantum computing; bioinformatics & bioengineering; ant colonies & immune systems; particle swarm & differential evolution.

New and Emerging Computational Intelligence

Monte Carlo methods (MCTS,UCT etc), artificial immune systems; swarm intelligence; fractals; chaos theory, wavelets, hybrid models; hybrid learning; etc.

Applied Computational Intelligence

Real world applications; games; robotics; knowledge extraction; classifying and relating CI approaches; evaluating CI approaches; criteria for selecting CI methods; symbolic and non-symbolic CI; multi-agent systems.