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Collective intelligence system engineering
Abstract Collective intelligence (CI) is an emerginCollective intelligence (CI) is an emerging research field which aims at combining human and machine intelligence, to improve community processes usually performed by large groups. CI systems may be collaborative, like Wikipedia, or competitive, like a number of recently established problem-solving companies that attempt to find solutions to difficult R&D or marketing problems drawing on the competition among web users. The benefits that CI systems earn user communities, combined with the fact that they share a number of basic common characteristics, open up the prospect for the design of a general methodology that will allow the efficient development and evaluation of CI. In the present work, an attempt is made to establish the analytical foundations and main challenges for the design and construction of a generic collective intelligence system. First, collective intelligence systems are categorized into active and passive and specific examples of each category are provided. Then, the basic modeling framework of CI systems is described. This includes concepts such as the set of possible user actions, the CI system state and the individual and community objectives. Additional functions, which estimate the expected user actions, the future state of the system, as well as the level of objective fulfillment, are also established. In addition, certain key issues that need to be considered prior to system launch are also described. The proposed framework is expected to promote efficient CI design, so that the benefit gained by the community and the individuals through the use of CI systems, will be maximized. Copyright 2009 ACM.ms, will be maximized. Copyright 2009 ACM.
Abstractsub Collective intelligence (CI) is an emerginCollective intelligence (CI) is an emerging research field which aims at combining human and machine intelligence, to improve community processes usually performed by large groups. CI systems may be collaborative, like Wikipedia, or competitive, like a number of recently established problem-solving companies that attempt to find solutions to difficult R&D or marketing problems drawing on the competition among web users. The benefits that CI systems earn user communities, combined with the fact that they share a number of basic common characteristics, open up the prospect for the design of a general methodology that will allow the efficient development and evaluation of CI. In the present work, an attempt is made to establish the analytical foundations and main challenges for the design and construction of a generic collective intelligence system. First, collective intelligence systems are categorized into active and passive and specific examples of each category are provided. Then, the basic modeling framework of CI systems is described. This includes concepts such as the set of possible user actions, the CI system state and the individual and community objectives. Additional functions, which estimate the expected user actions, the future state of the system, as well as the level of objective fulfillment, are also established. In addition, certain key issues that need to be considered prior to system launch are also described. The proposed framework is expected to promote efficient CI design, so that the benefit gained by the community and the individuals through the use of CI systems, will be maximized. Copyright 2009 ACM.ms, will be maximized. Copyright 2009 ACM.
Bibtextype inproceedings  +
Doi 10.1145/1643823.1643848  +
Has author Ioanna Lykourentzou + , Vergados D.J. + , Vassili Loumos +
Has extra keyword Collective intelligences + , Design and construction + , Key issues + , Large groups + , Machine intelligence + , Modeling frameworks + , Research fields + , System state + , User action + , User communities + , Web users + , Wikipedia + , Systems engineering +
Has keyword Collective intelligence + , System engineering +
Isbn 9781605588292  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 134–140  +
Published in Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09 +
Title Collective intelligence system engineering +
Type conference paper  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 7 November 2014 09:44:39  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 09:44:39  +
DateThis property is a special property in this wiki. 2009  +
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