A resource allocation framework for collective intelligence system engineering

Vergados, DJ; Lykourentzou, I; Kapetanios, E

dc.contributor.author	Vergados, DJ	en
dc.contributor.author	Lykourentzou, I	en
dc.contributor.author	Kapetanios, E	en
dc.date.accessioned	2014-03-01T02:46:39Z
dc.date.available	2014-03-01T02:46:39Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32761
dc.subject	Collective intelligence	en
dc.subject	Model design	en
dc.subject	Resource allocation	en
dc.subject	System engineering	en
dc.subject.other	Collective intelligences	en
dc.subject.other	Engineering methodology	en
dc.subject.other	Evaluation results	en
dc.subject.other	Model design	en
dc.subject.other	Quality production	en
dc.subject.other	Simulation modeling	en
dc.subject.other	System engineering	en
dc.subject.other	Web community	en
dc.subject.other	Web system	en
dc.subject.other	Wikipedia	en
dc.subject.other	Computer simulation	en
dc.subject.other	Ecosystems	en
dc.subject.other	Resource allocation	en
dc.subject.other	Systems engineering	en
dc.subject.other	Websites	en
dc.subject.other	Design	en
dc.title	A resource allocation framework for collective intelligence system engineering	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1936254.1936285	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1936254.1936285	en
heal.publicationDate	2010	en
heal.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 communitydriven, 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. Copyright 2010 ACM.	en
heal.journalName	Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES'10	en
dc.identifier.doi	10.1145/1936254.1936285	en
dc.identifier.spage	182	en
dc.identifier.epage	188	en