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Collective Intelligence for Decision-Making in Complex Environments: Literature Review

Abstract : The growing complexity of the environment makes explicit the fact that Human Social Systems must develop mechanisms that allow them to increase agility in decision-making. An alternative to achieve this is found in Collective Intelligence, which has been widely studied in Natural Social Systems, in Artificial Social Systems, and in Human Social Systems. Despite the research carried out in this last field, there is no clarity regarding the aspects that facilitate its understanding and emergency. This document identifies the structural and dynamic features in different Collective Intelligence models selected in the context of Human Social Systems. Finally, the possibility of proposing other features to be considered is discussed from the review of the factors that have explained the emergence of Collective Intelligence in Natural and Artificial Social Systems, and they are assessed in order to design Collective Intelligence models in future research.
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Daniela Rincón, Jhonatan Valdes, Luz Bohórquez. Collective Intelligence for Decision-Making in Complex Environments: Literature Review. 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.471-480, ⟨10.1007/978-3-319-92007-8_40⟩. ⟨hal-01821039⟩

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