Transactions on Computational Collective Intelligence XXIII
Transactions on Computational Collective Intelligence XXIII
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
- University of South Australia Australia
- WSB University in Wrocław Poland
- Swinburne University of Technology Australia
- Wrocław University of Science and Technology Poland
research, applications, governability, strategic voting, convexity, degrees of manipulability, communication, national interest, conference proceedings, computer science, dictatorship, approval voting, European parliament, fragmentation, informatics, homogeneous representations, cooperation structure, cooperative game
research, applications, governability, strategic voting, convexity, degrees of manipulability, communication, national interest, conference proceedings, computer science, dictatorship, approval voting, European parliament, fragmentation, informatics, homogeneous representations, cooperation structure, cooperative game
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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