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Technical Committee on Computational Collective Intelligence
Scope
Computational Collective Intelligence (CCI) covers 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 goal of the technique
committee is to provide a forum for exchanging scientific research and technological achievements
accomplished by the international community. It focuses on research and applications of the
computational methods of Collective Intelligence and their applications in a wide range of fields such as
semantic web, social networks and multi-agent systems, group decision making and consensus
computing.
We welcome everyone interested in Computational Collective Intelligence field to join us. The TC allows
us to share and discuss new results in research, development and applications of Computational
Collective Intelligence and promote an exchange of ideas and cooperation. As a member of the TC you
will be invited to participate in organizing the events arranged by us, and to submit papers to the IEEE
System, Man, and Cybernetics Society's publications. If you would like to join, please contact the TC
Chair.
Membership:
TC Chair:
Ngoc Thanh Nguyen, Wroclaw University of Technology, Poland
Members
1. Adel M. Alimi, University of Sfax, Tunisia
2. Ahmad Taher Azar, Modern Science and Arts University, Egypt
3. Piotr Jedrzejowicz, Gdynia Maritime University, Poland
4. Ryszard Kowalczyk, Swinburne University of Technology, Australia
5. Costin Badica, University of Craiova, Romania
6. Punam Bedi, University of Delhi, India
7. Tzu-Fu Chiu, Aletheia University, Taiwan
8. Amine Chohra, Paris-XII University, France
9. Anh Duc Duong, University of Information Technology, Vietnam
10. Tarek M. Hamdani, University of Sfax, Tunisia
11. Mong-Fong Horng, Kaohsiung University of Applied Sciences, Taiwan
12. Gordan Jezic, University of Zagreb, Croatia
13. Jason J. Jung, Yeungnam University, Korea
14. Geun-Sik Jo , Inha University, Korea
15. Radoslaw Katarzyniak, Wroclaw University of Technology, Poland
16. Joanna Kolodziej, Cracow University of Technology, Poland
17. Tokuro Matsuo, Yamagata University, Japan
18. Grzegorz J. Nalepa, AGH University, Poland
19. Linh Anh Nguyen, Warsaw University, Poland
20. Manuel Nunez, Universidad Complutense de Madrid, Spain
21. Julian Padget, University of Bath, UK
22. Ali Selamat, Universiti Teknologi Malaysia, Malaysia
23. Jeng-Shyang Pan, Kaohsiung University of Applied Sciences, Taiwan
24. Edward Szczerbicki, University of Newcastle, Australia
25. Tadeusz Szuba, AGH University, Poland
26. Jerzy Swiatek, Wroclaw University of Technology, Poland
27. Kristinn Thorisson, Reykjavik University, Iceland
28. Jan Treur, Vrije Universiteit Amsterdam, Netherlands
29. Drago Zagar, University of Osijek, Croatia.
30. Constantin-Bala Zamfirescu, University of Sibiu, Romania
TC activities:
1. We have been organizing annual International Conferences on Computational Collective
Intelligence (ICCCI 2009, ICCCI 2010, ICCCI 2011, ICCCI 2012, ICCCI 2013)
2. We have organized a Summer School IIS 2012 in Quang Binh Universitry, Vietnam.
3. We have organized special sessions at SMC 2011, SMC 2012, CYBCONF 2013
4. We have technically supported several IEEE Conferences: AAIA 2013, IEEE IS 2014
5. We are editing Transactions on Computational Collective Intelligence (TCCI) published by
Springer
6. We are editing special issue on CCI in Neurocomputing (Elsevier)
Goals for the next five years
1. Organize annual International Conferences on Computational Collective Intelligence (ICCCI), for
which some have been fixed: ICCCI 2014 in Seoul (Korea), ICCCI 2015 in Madrid (Spain)
2. Attract more people join the TC
3. Organize SMC Conference on Cybernetics (CYBCONF 2015) in Poland.
Three most important papers since the beginning the committee.
1. Maleszka M., Mianowska B., Nguyen N.T. (2013): A Method for Collaborative Recommendation
Using Knowledge Integration Tools and Hierarchical Structure of User Profiles. Knowledge-Based
Systems 47, 1-13.
2. Kern R., Stolarczyk T., Nguyen N.T. (2013): A Formal Framework for Query Decomposition and
Knowledge Integration in Data Warehouse Federations. Expert Systems with Applications 40(7), 2592-
2606.
3. Truong H.B., Duong, T.H., Nguyen N.T. (2013): A Hybrid Method for Fuzzy Ontology Integration.
Cybernetics and Systems 44(2-3), 133-154.