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These transactions publish research in computer-based methods of
computational collective intelligence (CCI) and their applications
in a wide range of fields such as the semantic web, social
networks, and multi-agent systems. TCCI strives to cover new
methodological, theoretical and practical aspects of CCI understood
as the form of intelligence that emerges from the collaboration 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., aims to support human and other collective
intelligence and to create new forms of CCI in natural and/or
artificial systems. This thirtieth issue is a regular issue with 12
selected papers.
These transactions publish research in computer-based methods of
computational collective intelligence (CCI) and their applications
in a wide range of fields such as the semantic web, social
networks, and multi-agent systems. TCCI strives to cover new
methodological, theoretical and practical aspects of CCI understood
as the form of intelligence that emerges from the collaboration 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., aims to support human and other collective
intelligence and to create new forms of CCI in natural and/or
artificial systems. This thirty-first issue presents 12 selected
papers from the 3rd Seminar on Quantitative Methods of Group
Decision Making which was held in November 2017 at the WSB
University in Wroclaw.
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