A resource allocation framework for collective intelligence system engineering

Authors:
Dimitrios J. Vergados;Ioanna Lykourentzou;Epaminondas Kapetanios
Affiliations:
University of Athens, Athens, Greece;University of Athens, Athens, Greece;University of Westminster, London, UK
Venue:
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Year:
2010

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Abstract

In this paper, we present a framework for engineering collective intelligence systems that will be used by web communities. The proposed framework enables the development of community-driven, self-regulating CI systems, which adapt their functionality to the activity and goals of the web community. The above engineering methodology is applied on the design of a popular web system, namely Wikipedia, to illustrate the way that the functionality of the latter could be improved, in terms of better and more prompt article quality production. The preliminary evaluation results of this application, obtained through simulation modeling are promising.