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dc.contributor.authorvan der Post, Daniel J.
dc.contributor.authorFranz, Mathias
dc.contributor.authorLaland, Kevin Neville
dc.date.accessioned2016-08-29T15:30:10Z
dc.date.available2016-08-29T15:30:10Z
dc.date.issued2016-08-24
dc.identifier245081040
dc.identifier4792176b-9938-4e7f-9af0-d5762d073d47
dc.identifier84983377986
dc.identifier000381814600001
dc.identifier.citationvan der Post , D J , Franz , M & Laland , K N 2016 , ' Skill learning and the evolution of social learning mechanisms ' , BMC Evolutionary Biology , vol. 16 , 166 . https://doi.org/10.1186/s12862-016-0742-9en
dc.identifier.issn1471-2148
dc.identifier.otherORCID: /0000-0002-2457-0900/work/60630426
dc.identifier.urihttps://hdl.handle.net/10023/9395
dc.descriptionThis research was supported by a grant from The John Templeton Foundation.en
dc.description.abstractBackground. Social learning is potentially advantageous, but evolutionary theory predicts that (i) its benefits may be self-limiting because social learning can lead to information parasitism, and (ii) these limitations can be mitigated via forms of selective copying. However, these findings arise from a functional approach in which learning mechanisms are not specified, and which assumes that social learning avoids the costs of asocial learning but does not produce information about the environment. Whether these findings generalize to all kinds of social learning remains to be established. Using a detailed multi-scale evolutionary model, we investigate the payoffs and information production processes of specific social learning mechanisms (including local enhancement, stimulus enhancement and observational learning) and their evolutionary consequences in the context of skill learning in foraging groups. Results. We find that local enhancement does not benefit foraging success, but could evolve as a side-effect of grouping. In contrast, stimulus enhancement and observational learning can be beneficial across a wide range of environmental conditions because they generate opportunities for new learning outcomes. Conclusions. In contrast to much existing theory, we find that the functional outcomes of social learning are mechanism specific. Social learning nearly always produces information about the environment, and does not always avoid the costs of asocial learning or support information parasitism. Our study supports work emphasizing the value of incorporating mechanistic detail in functional analyses.
dc.format.extent19
dc.format.extent2254087
dc.language.isoeng
dc.relation.ispartofBMC Evolutionary Biologyen
dc.subjectMulti-scale approachen
dc.subjectAgent-based modelen
dc.subjectInformation parasitismen
dc.subjectMechanism specificityen
dc.subjectGroup foragersen
dc.subjectSelf-organizationen
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleSkill learning and the evolution of social learning mechanismsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
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.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1186/s12862-016-0742-9
dc.description.statusPeer revieweden


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