The 2002 U.K. Workshop on Computational Intelligence

Call for Papers

• Theoretical foundations (e.g. mathematical and statistical models; learning strategies and systems; reasoning and meta-control; transparency and interpretability; smart and adaptive mechanisms; logical and philosophical issues)

• Problem-solving methods (e.g. monitoring and control; estimation and identification; prediction and simulation; clustering and classification; interpretation and recognition; optimisation and planning; data mining and knowledge discovery)

• Application systems (e.g. industrial automation; adaptive control; autonomous robotics; time series analysis; signal processing; image understanding; information retrieval; Web intelligence; e-commerce; biomedical informatics; multimedia and telecommunications)

• Hybrid systems (e.g. symbolic and non-symbolic; fuzzy and neural; evolutionary and neural; fuzzy and probabilistic; hierarchical and purpose-built)

• Survey and methodological issues (e.g. classifying and relating CI approaches; evaluating CI approaches; criteria for selecting CI methods)