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. In this document, are identified which are the structural and dynamic features that are common to different Collective Intelligence models selected in the context of Human Social Systems. Finally, we discuss the possibility of proposing other features to be considered from the review of the factors that have explained the emergence of Collective Intelligence in Natural and Artificial Social Systems, and assess them for the design of Collective Intelligence models in future research.