FW: UKCI CFP (deadline extension)
Call for Papers:
UK Workshop on Computational Intelligence 2010
Workshop Dates: Wed 8th – Fri 10th September
Paper submission deadline: Friday 4th June 2010
Note: all accepted papers will be published on IEEE Xplore.
While this is a general computational intelligence conference,
papers on any aspect of GP are very much in scope.
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 following (see below).
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 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.
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.