Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

First International Conference, ICCCI 2009, Wrocław, Poland, October 5-7, 2009. Proceedings

  • Ngoc Thanh Nguyen
  • Ryszard Kowalczyk
  • Shyi-Ming Chen

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5796)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5796)

Table of contents

  1. Front Matter
  2. Keynote Speeches

  3. Collective Decision Making

    1. Longo Luca, Barrett Stephen, Dondio Pierpaolo
      Pages 63-74
    2. Krissada Maleewong, Chutiporn Anutariya, Vilas Wuwongse
      Pages 75-86
    3. Szymon Łukasik, Sławomir Żak
      Pages 97-106
    4. Marcin Gorawski, Ewa Płuciennik-Psota
      Pages 107-117
    5. Magdalena Szymkowiak, Beata Jankowska
      Pages 128-139
    6. Tsai-Duan Lin, Chuin-Chieh Hsu, Da-Ren Chen, Sheng-Yung Chiu
      Pages 152-162
    7. Sang-Hwan Ryu, Seung-Hyun Lee, Kyung-Soo Jang, Ho-Jin Shin, Dong-Ryeol Shin
      Pages 183-192
  4. Multiagent Systems

    1. Vedran Podobnik, Ana Petric, Krunoslav Trzec, Vedran Galetic, Gordan Jezic
      Pages 193-204
    2. Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart
      Pages 205-216
    3. Marina Bagić Babac, Marijan Kunštić
      Pages 217-228

About these proceedings

Introduction

Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion 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. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.

Keywords

artificial intelligence collective intelligence consensus theory evolutionary computation fuzzy systems multiagent systems neural systems ontologies semantic web social networks

Editors and affiliations

  • Ngoc Thanh Nguyen
    • 1
  • Ryszard Kowalczyk
    • 2
  • Shyi-Ming Chen
    • 3
  1. 1.Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  2. 2.Centre for Complex Software Systems and ServicesSwinburne University of TechnologyVictoriaAustralia
  3. 3.Department of Computer Science and Information EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan, R.O.C.

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04441-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04440-3
  • Online ISBN 978-3-642-04441-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book