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New Challenges in Computational Collective Intelligence (Hardcover, 2009 ed.)
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New Challenges in Computational Collective Intelligence (Hardcover, 2009 ed.)
Series: Studies in Computational Intelligence, 244
Expected to ship within 12 - 17 working days
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Collective intelligence has become one of major research issues
studied by today's and future computer science. Computational
collective intelligence is understood as this form of group
intellectual activity that emerges from collaboration and compe-
tion of many artificial individuals. Robotics, artificial
intelligence, artificial cognition and group working try to create
efficient models for collective intelligence in which it emerges
from sets of actions carried out by more or less intelligent
individuals. The major methodological, theoretical and practical
aspects underlying computational collective intelligence are group
decision making, collective action coordination, collective
competition and knowledge description, transfer and integration.
Obviously, the application of multiple computational technologies
such as fuzzy systems, evo- tionary computation, neural systems,
consensus theory, knowledge representation etc. is necessary to
create new forms of computational collective intelligence and
support existing ones. Three subfields of application of
computational technologies to support forms of collective
intelligence are of special attention to us. The first one is
semantic web treated as an advanced tool that increases the
collective intelligence in networking environments. The second one
covers social networks modeling and analysis, where social networks
are this area of in which various forms of computational collective
intelligence emerges in a natural way. The third subfield relates
us to agent and mul- agent systems understood as this computational
and modeling paradigm which is especially tailored to capture the
nature of computational collective intelligence in populations of
autonomous individuals.
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