Synergy in Computational Intelligence.- Computational Intelligence: The Legacy of Alan Turing and John von Neumann.- Fusing Evolutionary Algorithms and Fuzzy Logic.- Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem.- Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems.- Multiobjective Genetic Fuzzy Systems.- Adaptive Solution Schemes.- Exploring Hyper-heuristic Methodologies with Genetic Programming.- Adaptive Constraint Satisfaction: The Quickest First Principle.- Multi-agent Systems.- Collaborative Computational Intelligence in Economics.- IMMUNE: A Collaborating Environment for Complex System Design.- Bayesian Learning for Cooperation in Multi-Agent Systems.- Collaborative Agents for Complex Problems Solving.- Computer Vision.- Predicting Trait Impressions of Faces Using Classifier Ensembles.- The Analysis of Crowd Dynamics: From Observations to Modelling.- Communications for CI Systems.- Computational Intelligence for the Collaborative Identification of Distributed Systems.- Collaboration at the Basis of Sharing Focused Information: The Opportunistic Networks.- Artificial Immune Systems.- Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems.- Parallel Evolutionary Algorithms.- Evolutionary Computation: Centralized, Parallel or Collaborative.- CI for Clustering and Classification.- Fuzzy Clustering of Likelihood Curves for Finding Interesting Patterns in Expression Profiles.- A Hybrid Rule-Induction/Likelihood-Ratio Based Approach for Predicting Protein-Protein Interactions.- Improvements in Flock-Based Collaborative Clustering Algorithms.- Combining Statistics and Case-Based Reasoning for Medical Research.- Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence.