LNCS Transactions on Computational Collective Intelligence (ISSN: 2190-9288)

Description

Scope
Transactions on Computational Collective Intelligence (TCCI) strives to cover new methodological, theoretical and practical aspects of computational collective intelligence 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.
Three subfields are given special attention:
Semantic web (as an advanced tool increasing collective intelligence);
Social network analysis (as the field targeted to the emergence of new forms of CCI);
Multiagent systems (as a computational and modeling paradigm especially tailored to capture the nature of CCI emergence in populations of autonomous individuals).
TCCI is a double-blind refereed and authoritative reference dealing with Computational Collective Intelligence tools and applications as well as emerging issues of interest to professionals and academics. Papers on key applications, highlighting methods, time schedules and other relevant subjects are welcome.
Topics
The coverage of TCCI includes, but is not limited to, the following subjects
Group decision making
Consensus computing
Collective action coordination
Inconsistent knowledge processing
Ontology mapping and merging
Collaborative ontology
Ontology development in social networks
Semantic social networks
Collaborative tagging on Web 2.0
Semantic and knowledge grids
Semantic annotation of web data resources
Group web services (service description, discovery, composition)
Automatic metadata generation
Semantic web inference schemes
Reasoning in the semantic web
Knowledge portals
Information discovery and retrieval in the semantic web
Advanced groupware and social networks
Models for social network emergence and growth
Advanced analysis for social networks dynamics
Social networks and semantic communication
Cooperative distributed problem solving
Task and resource allocation
Mechanism design, auctions, and game theory
Modeling other agents and self
Multiagent planning
Negotiation protocols
Multiagent learning
Conflict resolution
Performance, scalability, robustness, and dependability
P2P business
Editorial Board
John Breslin, National University of Ireland, Galway, Ireland
Longbing Cao, University of Technology Sydney, Australia
Shi-Kuo Chang, University of Pittsburgh, USA
Oscar Cordon, European Centre for Soft Computing, Spain
Tzung-Pei Hong, National University of Kaohsiung, Taiwan
Gordan Jezic, University of Zagreb, Croatia
Piotr Jędrzejowicz, Gdynia Maritime University, Poland
Kang-Huyn Jo, University of Ulsan, Korea
Radosław Katarzyniak, Wroclaw University of Technology, Poland
Yiannis Kompatsiaris, Centre for Research and Technology Hellas, Greece
Jozef Korbicz, University of Zielona Gora, Poland
Hoai An Le Thi, Metz University, France
Pierre Lévy, University of Ottawa, Canada
Tokuro Matsuo, Yamagata University, Japan
Kazumi Nakamatsu, University of Hyogo, Japan
Toyoaki Nishida, Kyoto University, Japan
Manuel Núñez, Universidad Complutense de Madrid, Spain
Julian Padget, University of Bath, UK
Witold Pedrycz, University of Alberta, Canada
Debbie Richards, Macquaire University, Australia
Roman Słowiński, Poznan University of Technology, Poland
Edward Szczerbicki, University of Newcastle, Australia
Kristinn R. Thorisson, Reykjavik University, Iceland
Gloria Phillips-Wren, Loyola University Maryland, USA
Sławomir Zadrożny, Institute of Research Systems, PAS, Poland
Submissions
The journal publishes original papers, review papers, technical reports, case studies, conference reports, management reports, book reviews, notes, commentaries, and news. Special Issues devoted to important topics in Computational Collective Intelligence and related subjects are welcome.
Manuscripts should follow the LNCS formatting guidelines available from the LNCS Webpage and should be submitted electronically.