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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 thoroughly revised contributions.
List of contents
Experimental Study of the Population Parameters Settings in Cooperative Multi-agent System Solving Instances of the VRP.- Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy.- Model of Rules for IT Organization Evolution.- Evaluation of Agents Interactions in a Context-Aware System.- Ontological Modeling of a Class of Linked Economic Crimes.- Agent-Based and Population-Based Modeling of Trust Dynamics.- Universal Forgery Features Idea: A Solution for User-Adjusted Threshold in Signature Verification.- Cognitive Supervision and Control of Robotic Inspection-Intervention System Using Qualitative Spatio-Temporal Representation and Reasoning.- Differential Evolution as a New Method of Computing Nash Equilibria.- Simulation of Customers Behaviour as a Method for Explaining Certain Market Characteristic.
Summary
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.
