Overview

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 eighteenth issue contains 9 carefully selected and revised contributions.

Full Product Details

Author:   Ngoc Thanh Nguyen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. 2015
Volume:   9240
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   3.285kg
ISBN:  

9783662481448

ISBN 10:   3662481448
Pages:   201
Publication Date:   12 August 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Using Semantic Web for Generating Questions: Do Different Populations Perceive Questions Differently?.- Reflection of intelligent e-learning/tutoring - the flexible learning model in LMS Blackboard.- GLIO: A New Method for Grouping Like-Minded Users.- A Preferences based Approach for Better Comprehension of User Information Needs.- Performance Evaluation of the Customer Relationship Management Agent’s in a Cognitive Integrated Management Support System.- Agreements Technologies - Towards Sophisticated Software Agents in Multi-Agent Environments.- Identification of Underestimated and Overestimated Web Pages Using PageRank and Web Usage Mining Methods.- Massive Classification with Support Vector Machines.- On a Multi-Agent Distributed Asynchronous Intelligence-Sharing and Learning Framework.

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