Advances on Adaptive Resonance Theory and Applications -- Intelligent Decision Support Making Systems -- Neural Networks for Vision - Biological and Artificial -- Promoting Smart User-Centred Approaches in Innovative Teaching and Learning -- AI Techniques in Web-Based Educational Systems -- Complex-Valued Neural Networks -- Knowledge Based Computer Assisted Systems for Health Care -- Intelligent Human Computer Interaction Systems -- Immunity-Based Systems -- Intelligent Knowledge-Based Interface Systems (I) -- Intelligent Knowledge-Based Interface Systems (II) -- Knowledge-Based and Cognitive Neuroscience Systems for Future Humanoid Robot Development -- Industrial Applications of Soft Computing -- Intelligent Mobile Agents in Mobile Networks: All-Mobile Networks -- Command and Control (C2) and Situation Awareness - Reasoning in Intelligent Agents -- Intelligent Groupware -- Intelligent Paradigms in Biocybernetics and Biomedical Engineering -- Intelligent Systems Design -- Visual Sensing ahd Human Interface for Affective Computing -- Intelligent Techniques for Biology and Chemistry -- Methods and Applications of Intelligent Hybrid Systems -- Knowledge Based Methods and Applications for Product Development -- Intelligent Media Technology for Communicative Intelligence -- Neural Network Models of Brain Disease, Plasticity and Rehabilitation -- Soft Computing Techniques for 3D Computer Vision -- Knowledge Based E-learning -- Knowledge Engineering at the User Interface for Intelligent Biometric Processing -- Advances on Knowledge Engineering -- Emergence and Self-organization in Agent Systems.

During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .