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Transactions on Computational Collective Intelligence XI [electronic resource] / edited by Ngoc Thanh Nguyen.

By: Nguyen, Ngoc Thanh [editor.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8065Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: X, 223 p. 103 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642417764.Subject(s): Computer science | Information systems | Artificial intelligence | Computer simulation | Engineering | Computer Science | Artificial Intelligence (incl. Robotics) | Computational Intelligence | Information Systems and Communication Service | Simulation and Modeling | Computation by Abstract DevicesDDC classification: 006.3 Online resources: Click here to access online
Contents:
Taming Complex Beliefs -- Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN-Its Design and Properties -- A Framework for an Adaptive Grid Scheduling: An Organizational Perspective -- Data Extraction from Online Social Networks Using Application -- Programming Interface in a Multi Agent System Approach -- Cooperatively Searching Objects Based on Mobile Agents -- Agent Based Optimisation of VoIP Communication -- Towards Rule Interoperability: Design of Drools Rule Bases Using the XTT2 Method -- Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles -- Machine Ranking of 2-Uncertain Rules Acquired from Real Data.
In: Springer eBooksSummary: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eleventh issue contains 9 carefully selected and thoroughly revised contributions.
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Taming Complex Beliefs -- Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN-Its Design and Properties -- A Framework for an Adaptive Grid Scheduling: An Organizational Perspective -- Data Extraction from Online Social Networks Using Application -- Programming Interface in a Multi Agent System Approach -- Cooperatively Searching Objects Based on Mobile Agents -- Agent Based Optimisation of VoIP Communication -- Towards Rule Interoperability: Design of Drools Rule Bases Using the XTT2 Method -- Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles -- Machine Ranking of 2-Uncertain Rules Acquired from Real Data.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eleventh issue contains 9 carefully selected and thoroughly revised contributions.

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