Note: Title -- Preface -- Contents -- Part I Foundations and Principles -- Coordination Mechanisms in Complex Software Systems -- Introduction -- Related Work -- Coordination Theory -- Coordination Models -- Linda Coordination Frameworks -- Use Case Description -- Space-Based Computing -- Evaluation -- Java Message Service -- Linda Tuple Space -- Discussion -- Conclusion -- References -- Ant Colony Optimization and Data Mining -- Introduction -- State-of-the-Art -- Ant Colony Optimization State-of-the-Art -- Data Mining State-of-the-Art Elements -- ACO and DM State-of-the-Art -- Ant Colony Optimization -- Data Mining -- Classification -- Clustering -- Ant Colony Optimization and Data Mining Techniques -- Data Classification and Ant Colony Optimization -- Data Clustering and Ant Colony Optimization -- Applications and Examples -- Conclusions -- Future Trends -- Key Terms -- References -- OpenSEA: A Framework for Semantic Interoperation between Enterprises -- Introduction -- OpenSEA -- TOGAF - The Upper Ontology for OpenSEA -- ISO 24707:2007 - The Meta-ontology for OpenSEA -- OpenSEA - Developing an Upper Ontology with CL -- Interlinked Domains -- Developing an Upper Ontology from TOGAF -- Sowa's Conceptual Catalogue -- Modelling Relationships within TOGAF9 -- Nested Graphs -- Contextualisation of Information -- OpenSEA and the Cloud -- OpenSEA and Web3.0 -- OpenSEA and the Software Engineer -- Further Investigations -- Integration of OpenSEA and GoodRelations -- Knowledge, Inference and Information Generation through OpenSEA -- Conclusion -- www.Open-SEA.org -- References -- Building Collective Tag Intelligence through Folksonomy Coordination -- Introduction -- From Folksonomies to Collective Tag Intelligence -- Tag Classification Approaches -- Similarity-Based Search Approaches -- Contributions of the Chapter. , Normalization Techniques for Collective Tag Intelligence Extraction -- Tag Equivalence Clusters -- Semantic Relations -- Linguistic Relations -- Terminological Relations -- Normalization Techniques -- Similarity-Based Techniques for Tag Matching -- Syntactic Similarity Function -- Semantic Similarity Function -- Terminological Similarity Function -- Linguistic Similarity Function -- Evaluation and Application to a Real Scenario -- Evaluation Issues -- An Example of Similarity-Based Resource Retrieval -- Conclusions -- References -- Trust-Based Techniques for Collective Intelligence in Social Search Systems -- Introduction -- State-of-the-Art: Distributed Decision-Making and Collaboration -- Computational Trust -- Computational Models of Trust -- Social Search -- Computational Trust to Enhance Social Search Ranking: A Practical Study-Case -- The Functioning -- Computational Trust to Enhance the Social Search Engine -- Leveraging Users' Features to Rank Pages -- Performance Criteria -- The Experimental Results -- Navigational Queries -- Enhancement of Past Performance -- Baseline Results without Trust Function -- Experiment 1 - with Past Performance -- Experiment 2 - No Past Performance -- Future Direction and Open Issues -- References -- Part II Advanced Models and Practices -- Visualising Computational Intelligence through Converting Data into Formal Concepts -- Introduction -- Formal Concept Analysis -- Formal Concept Analysis Scaling -- Formal Context Formats -- Large Data Sets -- Interpreting Data for FCA -- Data Discretisation -- Data Booleanisation -- FcaBedrock -- Concept and Lattice Generation -- Dealing with Concept Simplification and Complexity -- An Overall Process -- Performance Considerations -- CUBIST -- Semantic Web, RDF and OWL -- Conclusion -- References -- Constructing Ensemble Classifiers from GEP-Induced Expression Trees. , Introduction -- Using Gene Expression Programming to Induce Classifiers -- Ensemble Classifiers -- AdaBoost-Based Ensemble Classifier with GEP Learning (AB-GEP) -- AdaBoost-Based Ensemble Classifiers with Cellular GEP Learning (AB-cGEP) -- Majority-Voting-Based Ensemble Classifier with GEP Learning (MV-GEP and MVC-GEP) -- Majority-Voting-Based Ensemble Classifier with Cellular GEP Learning (MV-cGEP) -- Triplet Mass Function-Based Ensemble Classifier with GEP Learning (TMF-GEP) -- Computational Experiment Results -- Conclusions -- References -- Self-Organized Load Balancing through Swarm Intelligence -- Introduction -- Related Approaches -- SILBA Framework -- Basic SILBA -- Extended SILBA -- Swarm Based Algorithms -- Bee Algorithm -- Ant Algorithms -- Benchmarks -- Basic SILBA Benchmarks -- Extended SILBA Benchmarks -- Conclusion -- References -- Computational Intelligence in Future Wireless and Mobile Communications by Employing Channel Prediction Technology -- Introduction -- Spread Spectrum Communications -- Direct Sequencing Spread Spectrum -- Frequency Hopping Spread Spectrum (FHSS) -- Channel Coding -- Representations for LDPC Codes -- Proposed Channel Prediction Scheme -- The Algorithm -- Spectrum Analysis of the Proposed MCFH-SS System -- Complementary Cumulative Distribution Function (CCDF) -- Adjacent Channel Power -- Interference Analysis of the Proposed MCFH-SS System -- Interference Analyzer -- Spectrogram and Received Signal Strength -- Conclusions -- References -- Decision Making under Synchronous Time Stress among Bilateral Decision Makers -- Introduction -- Motivations -- Definitions -- Contributions and Limitations -- Structure -- Formulas -- Cost of Time -- Strategic Points -- Case Study -- Case -- Participant Record -- Entire Duration of a Certain Process for Decision Making -- Elapsed Time Record -- Prices of Individual Items. , Discussions -- Results -- Elements -- Conclusions and Future Work -- References -- Augmenting Human Intelligence in Goal Oriented Tasks -- Introduction -- Theoretical Foundation -- Knowledge Representation Ontology -- Knowledge Acquisition -- Agents -- AGUIA: An Intelligence Amplification Model Based on Agents Active on Demand -- AGUIA for Amplifying Human Intelligence -- ADD: AGUIA for Exploration of Options Guided by Models -- AGUIA for Script-Based Ontology Sensemaking -- AGUIA for Keeping User Awareness of Changes in Context -- AGUIA for Knowledge Amplification -- HYRIWYG: How You Rate Influences What You Get -- KA-CAPTCHA for Implicit Knowledge Acquisition -- Related Work -- Conclusion -- References -- Part IIIAdvanced Applications -- Clouds and Continuous Analytics Enabling Social Networks for Massively Multiplayer Online Games -- Introduction -- Mission: Continuous Analytics for MMOGs -- Goal -- Challenges -- Other Applications -- Related Work -- General Data Collection and Mining -- Data Collection and Mining Using On-Demand Resources -- The CAMEO Architecture -- Overview -- Workflow -- Addressing the Challenges of Continuous MMOG Analytics -- Experimental Setup -- CAMEO Implementation -- MMOG Case Study: RuneScape -- Cloud Infrastructure -- Experimental Results -- Understanding User Community Needs -- Enabling and Using Distributed and Collaborative Technology -- Conclusion and Future Work -- References -- Adaptive Fuzzy Inference Neural Network System for EEG and Stabilometry Signals Classification -- Introduction and Background -- EEG -- Stabilometry -- Objectives and Contributions -- Data Selection and Recording -- EEG -- Stabilometry -- Architecture of AFINN -- Training Procedure for AFINN -- Evaluation -- Evaluation of the Model Generation Method -- Evaluation of AFINN -- Discussion of Results -- Conclusions -- References. , Demand on Computational Intelligence Paradigms Synergy -- Introduction -- Challenges and Current Position of SOA in Mobile World -- Components and Integrated Technology Stack for the Next Generation Mobility Architecture -- The Architecture Planning and Design -- SOA for Mobile Applications - Practical Handling Use Cases -- Mobile SOA Implemented in University e-Learning Environment -- SOA-Based Service "Customer Search" -- "Applications - End-Devices" Connection Models -- First Scenario - Connecting via Servlets -- Second Scenario - SOA-Based -- SOA Approach to Write Mobile Clients Using Remote Services -- Mathematical Model of Logical Architecture for the Mobile Connectivity Services -- Structural Design and Implementation -- General Definitions of Queuing Systems Used -- Conclusions -- References -- Evolutionary Algorithms towards Generating Entertaining Games -- Introduction -- Our Contribution -- Background Work -- Board Based Games -- Video Games -- Theories on Entertainment -- Search Space -- Board Based Games -- Predator/Prey Games -- Structure of the Chromosome -- Board Based Games -- Predator/Prey Games -- Fitness Function -- Board Based Games -- Predator/Prey Games -- Software Agents -- Random Agent -- Agent Using Min-Max with Rule Based Evaluation Function -- Agents for Predator/Prey Games -- Experiments -- Board Based Games -- Predator Prey Games -- Conclusion -- References -- Leveraging Massive User Contributions for Knowledge Extraction -- Introduction -- Related Work -- Tag Clustering and Community Detection -- Temporal Tag Analysis -- Image Analysis Using Collaborative Data -- Tag Clustering through Community Detection in Tag Networks -- Description of MultiSCAN -- Evaluation of Tag Clustering -- Time-Aware Tag/User Co-clustering -- The Proposed Framework -- Evaluation of Time-Aware User/Tag Co-clustering. , Enhancing Image Analysis Using Collaborative Data.