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Transactions on Computational Collective Intelligence I PDF

213 Pages·2010·4.587 MB·English
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About Transactions on Computational Collective Intelligence I

We would like to present, with great pleasure, the first volume of a new journal, Transactions on Computational Collective Intelligence (TCCI). This journal, part of the new journal subline in the Springer series Lecture Notes in Computer Science, is devoted to research in computer-based methods of computational collective intel- gence (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 metho- logical, 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. 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 professionals and academics. This inaugural issue contains a collection of articles selected from regular subm- sions 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). This issue introduces advances in the foundations and applications of CCI and includes 10 papers.

Detailed Information

Author:Giner Alor-Hernandez (auth.), Ngoc Thanh Nguyen, Ryszard Kowalczyk (eds.)
Publication Year:2010
ISBN:9783642150333
Pages:213
Language:English
File Size:4.587
Format:PDF
Price:FREE
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.