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dc.contributor.authorToyokawa, Wataru
dc.contributor.authorWhalen, Andrew
dc.contributor.authorLaland, Kevin N.
dc.date.accessioned2019-07-20T23:43:40Z
dc.date.available2019-07-20T23:43:40Z
dc.date.issued2019-02-01
dc.identifier257464042
dc.identifier36af7a3d-68a3-4caf-90f0-822983292b1e
dc.identifier85060500845
dc.identifier000458449900016
dc.identifier.citationToyokawa , W , Whalen , A & Laland , K N 2019 , ' Social learning strategies regulate the wisdom and madness of interactive crowds ' , Nature Human Behaviour , vol. 3 , no. 2 , pp. 183-193 . https://doi.org/10.1038/s41562-018-0518-xen
dc.identifier.issn2397-3374
dc.identifier.otherRIS: urn:C545DD965B7000A9745F6350EF55364A
dc.identifier.otherRIS: Toyokawa2019
dc.identifier.otherORCID: /0000-0002-2457-0900/work/60630396
dc.identifier.urihttps://hdl.handle.net/10023/18143
dc.descriptionThis experiment was supported by The John Templeton Foundation (40128 to K.N.L.) and Suntory Foundation research support (2015-311 to W.T.). The computer simulations and computational model analyses were supported by JSPS overseas research fellowships (H27-11 to W.T.). The phenomenological model analyses were supported by JSPS KAKENHI (grant number 17J01559).en
dc.description.abstractWhy groups of individuals sometimes exhibit collective ‘wisdom’ and other times maladaptive ‘herding’ is an enduring conundrum. Here we show that this apparent conflict is regulated by the social learning strategies deployed. We examined the patterns of human social learning through an interactive online experiment with 699 participants, varying both task uncertainty and group size, then used hierarchical Bayesian model fitting to identify the individual learning strategies exhibited by participants. Challenging tasks elicit greater conformity among individuals, with rates of copying increasing with group size, leading to high probabilities of herding among large groups confronted with uncertainty. Conversely, the reduced social learning of small groups, and the greater probability that social information would be accurate for less-challenging tasks, generated ‘wisdom of the crowd’ effects in other circumstances. Our model-based approach provides evidence that the likelihood of collective intelligence versus herding can be predicted, resolving a long-standing puzzle in the literature.
dc.format.extent1304481
dc.language.isoeng
dc.relation.ispartofNature Human Behaviouren
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject.lccQH301en
dc.titleSocial learning strategies regulate the wisdom and madness of interactive crowdsen
dc.typeJournal articleen
dc.contributor.sponsorJohn Templeton Foundationen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.identifier.doi10.1038/s41562-018-0518-x
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-07-21
dc.identifier.grantnumber40128en


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