Advanced Methods for Computational Collective Intelligence

  • Ngoc Thanh Nguyen
  • Bogdan Trawiński
  • Radosław Katarzyniak
  • Geun-Sik Jo
Conference proceedings

DOI: 10.1007/978-3-642-34300-1

Part of the Studies in Computational Intelligence book series (SCI, volume 457)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Semantic Web and Ontologies

    1. Front Matter
      Pages 1-1
    2. Hieu Le Trung, Vu Le Anh, Viet-Hung Dang, Hai Vo Hoang
      Pages 3-12
    3. Stuart Dillon, Florian Stahl, Gottfried Vossen
      Pages 25-34
  3. Social Networks and e-Learning

    1. Front Matter
      Pages 35-35
    2. Radosław Nielek, Aleksander Wawer, Adam Wierzbicki
      Pages 47-58
    3. Artūras Kaklauskas, Edmundas Kazimieras Zavadskas, Mark Seniut, Andrej Vlasenko, Gintaris Kaklauskas, Algirdas Juozapaitis et al.
      Pages 59-69
  4. Agent and Multiagent Systems

  5. Data Mining Methods and Applications

    1. Front Matter
      Pages 145-145
    2. Arkadiusz Lewicki, Krzysztof Pancerz, Ryszard Tadeusiewicz
      Pages 147-156
    3. Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Jason J. Jung
      Pages 157-166

About these proceedings

Introduction

The book consists of 35 extended chapters which have been selected and invited from the submissions to the 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012) held on November 28-30, 2012 in Ho Chi Minh City, Vietnam. The book is organized into six parts, which are semantic web and ontologies, social networks and e-learning, agent and multiagent systems, data mining methods and applications, soft computing, and optimization and control, respectively. All chapters in the book discuss theoretical and practical issues connected with computational collective intelligence and related technologies. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants in courses on Soft Computing, Multiagent Systems, and Data Mining. This book can be also useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases of intelligent collectives. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.

Keywords

Computational Intelligence Computational Intelligence

Editors and affiliations

  • Ngoc Thanh Nguyen
    • 1
  • Bogdan Trawiński
    • 2
  • Radosław Katarzyniak
    • 3
  • Geun-Sik Jo
    • 4
  1. 1.Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  2. 2.Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  3. 3.Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  4. 4., Dept. of Computer Science & EngineeringINHA UniversityInchonKorea, Republic of (South Korea)

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-34299-8
  • Online ISBN 978-3-642-34300-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503