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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 performance optimization in IoT,
big data, reliability, privacy, security, service selection, QoS
and machine learning. This 37th issue contains 9 selected papers
which present new findings and innovative methodologies as well as
discuss issues and challenges in the field of collective
intelligence from big data and networking paradigms while
addressing security, privacy, reliability and optimality to achieve
QoS to the benefit of final users.
These transactions publish research in computer-based methods of
computational collective intelligence (CCI) and their applications
in a wide range of fields such as performance optimization in IoT,
big data, reliability, privacy, security, service selection, QoS
and machine learning. This 36th issue contains 7 selected papers
which present new findings and innovative methodologies as well as
discuss issues and challenges in the field of collective
intelligence from big data and networking paradigms while
addressing security, privacy, reliability and optimality to achieve
QoS to the benefit of final usersThis is an open access book.
These transactions publish research in computer-based methods of
computational collective intelligence (CCI) and their applications
in a wide range of fields such as performance optimization in IoT,
big data, reliability, privacy, security, service selection, QoS
and machine learning. This thirty-fifth issue contains 10 selected
papers which present new findings and innovative methodologies as
well as discuss issues and challenges in the field of collective
intelligence from big data and networking paradigms while
addressing security, privacy, reliability and optimality to achieve
QoS to the benefit of final users.
These transactions publish research in computer-based methods of
computational collective intelligence (CCI) and their applications
in a wide range of fields such as performance optimization in IoT,
big data, reliability, privacy, security, service selection, QoS
and machine learning. This thirty-fourth issue contains 12 selected
papers which present new findings and innovative methodologies as
well as discuss issues and challenges in the field of collective
intelligence in group decision making with special emphasize given
to voting theory, power indices and graphs while addressing
elections, social choices, IoT and allocation algorithms.
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.
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 twenty-seventh issue is a special issue
with 13 selected papers from the Second Seminar on Quantitative
Methods of Group Decision Making.
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 twenty-third issue contains 14 carefully
selected and revised contributions.
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