Individuals fail to reap the collective benefits of diversity because of over-reliance on personal information. Issue 142 (16th May 2018)

• Record Type: Journal Article
• Authors: Novaes Tump, Alan; Wolf, Max; Krause, Jens; Kurvers, Ralf H. J. M.
• Is Part Of: Journal of the Royal Society interface. Volume 15:Issue 142(2018)
• Publication Date: 2018-05-16
• Subjects: collective intelligence -- Condorcet -- correlated votes -- majority rule -- social information -- wisdom of the crowd; Physical sciences -- Research -- Periodicals; Life sciences -- Research -- Periodicals; Interdisciplinary research -- Periodicals; 570.5
• DOI: 10.1098/rsif.2018.0155
• Languages: English
• ISSNs: 1742-5689

Abstract

Abstract : Collective intelligence refers to the ability of groups to outperform individuals in solving cognitive tasks. Although numerous studies have demonstrated this effect, the mechanisms underlying collective intelligence remain poorly understood. Here, we investigate diversity in cue beliefs as a mechanism potentially promoting collective intelligence. In our experimental study, human groups observed a sequence of cartoon characters, and classified each character as a cooperator or defector based on informative and uninformative cues. Participants first made an individual decision. They then received social information consisting of their group members' decisions before making a second decision. Additionally, individuals reported their beliefs about the cues. Our results showed that individuals made better decisions after observing the decisions of others. Interestingly, individuals developed different cue beliefs, including many wrong ones, despite receiving identical information. Diversity in cue beliefs, however, did not predict collective improvement. Using simulations, we found that diverse collectives did provide better social information, but that individuals failed to reap those benefits because they relied too much on personal information. Our results highlight the potential of belief diversity for promoting collective intelligence, but suggest that this potential often remains unexploited because of over-reliance on personal information.