Transactions on Computational Collective Intelligence XI

  • Ngoc Thanh Nguyen

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8065)

Table of contents

  1. Front Matter
  2. Barbara Dunin-Kęplicz, Andrzej Szałas
    Pages 1-21
  3. Inès Thabet, Chihab Hanachi, Khaled Ghédira
    Pages 52-87
  4. Ruqayya Abdulrahman, Daniel Neagu, D. R. W. Holton, Mick Ridley, Yang Lan
    Pages 88-118
  5. Takashi Nagata, Munehiro Takimoto, Yasushi Kambayashi
    Pages 119-136
  6. Drago Žagar, Hrvoje Očevčić
    Pages 137-154
  7. Krzysztof Kaczor, Krzysztof Kluza, Grzegorz J. Nalepa
    Pages 155-175
  8. Beata Jankowska, Magdalena Szymkowiak
    Pages 198-222
  9. Back Matter

About these proceedings

Introduction

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 eleventh issue contains 9 carefully selected and thoroughly revised contributions.

Keywords

knowledge management machine learning mobile agents pattern recognition rule-based systems

Editors and affiliations

  • Ngoc Thanh Nguyen
    • 1
  1. 1.Institute of InformaticsWrocław University of TechnologyWrocławPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-41776-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-41775-7
  • Online ISBN 978-3-642-41776-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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