ENGLISH

Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems: First International Conference, ICCCI 2009, Wrocław, Poland, October 5-7, 2009. Proceedings

By Ngoc Thanh Nguyen , Ryszard Kowalczyk , Shyi-Ming Chen (eds.) , Roman Słowiński (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
3642044409, 9783642044403
DOI
10.1007/978-3-642-04441-0
Language
english
Format
PDF
Filesize
19 MB (19552011 bytes)
Series
Lecture Notes in Computer Science 5796 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
860\875
Time added
2011-06-04 13:46:07
Artificial Intelligence (incl. Robotics); Software

Description

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.

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