Transactions On Computational Collective Intelligence Ii
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Transactions on Computational Collective Intelligence II
Author: Ngoc Thanh Nguyen
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-11-16
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 second TCCI issue contains a collection of 10 articles selected from high-quality submissions addressing advances in the foundations and applications of computational collective intelligence.
Transactions on Computational Collective Intelligence II
Welcome to the second volume of Transactions on Computational Collective Intel- gence (TCCI), a new journal devoted to research in computer-based methods of c- putational 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 int- ligence technologies such as fuzzy systems, evolutionary computation, neural s- tems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. TCCI is a double-blind refereed and authoritative reference dealing with the wo- ing potential of CCI methodologies and applications, as well as emerging issues of interest to academics and practitioners. This second issue contains a collection of 10 articles selected from high-quality submissions addressing advances in the foun- tions and applications of computational collective intelligence. In “Integration P- posal for Description Logic and Attributive Logic – Towards Semantic Web Rules” G. Nalepa and W. Furmanska propose a transition from attributive logic to description logic in order to improve the design of Semantic Web rules. K. Thorisson et al.
Transactions on Computational Collective Intelligence I
Author: Ngoc-Thanh Nguyen
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-10-21
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 is the first volume of TCCI. It contains a collection of articles selected from regular submissions and invited papers of substantially extended contributions based on the best papers presented at the First International Conference on Computational Collective Intelligence: Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009) during October 5-7 , 2009 in Wroclaw (Poland). The 10 papers in this volume introduce advances in the foundations and applications of computational collective intelligence.