Ebook: Transactions on Computational Collective Intelligence IX

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 multiagent 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 ninth issue contains ten carefully selected and thoroughly revised contributions.

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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 multiagent 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 ninth issue contains ten carefully selected and thorougly revised contributions.

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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 multiagent 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 ninth issue contains ten carefully selected and thorougly revised contributions.
Content:
Front Matter....Pages -
Experimental Study of the Population Parameters Settings in Cooperative Multi-agent System Solving Instances of the VRP....Pages 1-28
Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy....Pages 29-54
Model of Rules for IT Organization Evolution....Pages 55-78
Evaluation of Agents Interactions in a Context-Aware System....Pages 79-97
Ontological Modeling of a Class of Linked Economic Crimes....Pages 98-123
Agent-Based and Population-Based Modeling of Trust Dynamics....Pages 124-151
Universal Forgery Features Idea: A Solution for User–Adjusted Threshold in Signature Verification....Pages 152-172
Cognitive Supervision and Control of Robotic Inspection-Intervention System Using Qualitative Spatio-Temporal Representation and Reasoning....Pages 173-191
Differential Evolution as a New Method of Computing Nash Equilibria....Pages 192-216
Simulation of Customers Behaviour as a Method for Explaining Certain Market Characteristic....Pages 217-236
Back Matter....Pages -

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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 multiagent 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 ninth issue contains ten carefully selected and thorougly revised contributions.
Content:
Front Matter....Pages -
Experimental Study of the Population Parameters Settings in Cooperative Multi-agent System Solving Instances of the VRP....Pages 1-28
Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy....Pages 29-54
Model of Rules for IT Organization Evolution....Pages 55-78
Evaluation of Agents Interactions in a Context-Aware System....Pages 79-97
Ontological Modeling of a Class of Linked Economic Crimes....Pages 98-123
Agent-Based and Population-Based Modeling of Trust Dynamics....Pages 124-151
Universal Forgery Features Idea: A Solution for User–Adjusted Threshold in Signature Verification....Pages 152-172
Cognitive Supervision and Control of Robotic Inspection-Intervention System Using Qualitative Spatio-Temporal Representation and Reasoning....Pages 173-191
Differential Evolution as a New Method of Computing Nash Equilibria....Pages 192-216
Simulation of Customers Behaviour as a Method for Explaining Certain Market Characteristic....Pages 217-236
Back Matter....Pages -
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