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

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

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Ngoc Thanh Nguyen

    1. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

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  2. Ryszard Kowalczyk

    1. Centre for Complex Software Systems and Services, Swinburne University of Technology, Victoria, Australia

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  3. Shyi-Ming Chen

    1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICCCI 2009.

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Table of contents (74 papers)

  1. Front Matter

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  3. Collective Decision Making

    1. Local Search Algorithms for Core Checking in Hedonic Coalition Games

      • Helena Keinänen
      Pages 51-62

    2. Information Foraging Theory as a Form of Collective Intelligence for Social Search

      • Longo Luca, Barrett Stephen, Dondio Pierpaolo
      Pages 63-74

    3. SAM: Semantic Argumentation Based Model for Collaborative Knowledge Creation and Sharing System

      • Krissada Maleewong, Chutiporn Anutariya, Vilas Wuwongse
      Pages 75-86

    4. A Conception for Modification of Learning Scenario in an Intelligent E-learning System

      • Adrianna Kozierkiewicz-Hetmańska
      Pages 87-96

    5. Firefly Algorithm for Continuous Constrained Optimization Tasks

      • Szymon Łukasik, Sławomir Żak
      Pages 97-106

    6. Distributed Data Mining Methodology with Classification Model Example

      • Marcin Gorawski, Ewa Płuciennik-Psota
      Pages 107-117

    7. A Token-Based Mutual Exclusion Approach to Improve Collaboration in Distributed Environments

      • Mauricio Paletta, Pilar Herrero
      Pages 118-127

    8. Discovering Medical Knowledge from Data in Patients’ Files

      • Magdalena Szymkowiak, Beata Jankowska
      Pages 128-139

    9. Towards an Increase of Collective Intelligence within Organizations Using Trust and Reputation Models

      • Emil Scarlat, Iulia Maries
      Pages 140-151

    10. A New Ant Colony Optimization Algorithm with an Escape Mechanism for Scheduling Problems

      • Tsai-Duan Lin, Chuin-Chieh Hsu, Da-Ren Chen, Sheng-Yung Chiu
      Pages 152-162

    11. Recognizing Team Formations in Multiagent Systems: Applications in Robotic Soccer

      • Huberto Ayanegui-Santiago
      Pages 163-173

    12. Semi-traces and Their Application in Concurrency Control Problem

      • Hoang Chi Thanh
      Pages 174-182

    13. Design of the Directory Facilitator Supporting Fault-Tolerance in Multi-OSGi Agent System

      • Sang-Hwan Ryu, Seung-Hyun Lee, Kyung-Soo Jang, Ho-Jin Shin, Dong-Ryeol Shin
      Pages 183-192

  4. Multiagent Systems

    1. Agent-Based Provisioning of Group-Oriented Non-linear Telecommunication Services

      • Vedran Podobnik, Ana Petric, Krunoslav Trzec, Vedran Galetic, Gordan Jezic
      Pages 193-204

    2. A Multi-agent Model of Deceit and Trust in Intercultural Trade

      • Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart
      Pages 205-216

    3. Implementation of Epistemic Operators for Model Checking Multi-agent Systems

      • Marina Bagić Babac, Marijan Kunštić
      Pages 217-228
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  1. Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

Keywords

About this book

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.

Editors and Affiliations

  • Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  • Centre for Complex Software Systems and Services, Swinburne University of Technology, Victoria, Australia

    Ryszard Kowalczyk

  • Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.

    Shyi-Ming Chen

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