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dc.contributor.authorJohnston, Iain George
dc.contributor.authorRøyrvik, Ellen Christine
dc.date.accessioned2021-08-06T09:07:23Z
dc.date.available2021-08-06T09:07:23Z
dc.date.created2020-07-01T13:04:14Z
dc.date.issued2020
dc.identifier.issn2589-0042
dc.identifier.urihttps://hdl.handle.net/11250/2766741
dc.description.abstractTool use is a striking aspect of animal behavior, but it is hard to infer how the capacity for different types of tool use emerged across animal taxa. Here we address this question with HyperTraPS, a statistical approach that uses contemporary observations to infer the likely orderings in which different types of tool use (digging, reaching, and more) were historically acquired. Strikingly, despite differences linked to environment and family, many similarities in these appear across animal taxa, suggesting some universality in the process of tool use acquisition across different animals and environments. Four broad classes of tool use are supported, progressing from simple object manipulations (acquired relatively early) to more complex interactions and abstractions (acquired relatively late or not at all). This data-driven, comparative approach supports existing and suggests new mechanistic hypotheses, predicts future and possible unobserved behaviors, and sheds light on patterns of tool use emergence across animals.en_US
dc.language.isoengen_US
dc.publisherCell Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleData-Driven Inference Reveals Distinct and Conserved Dynamic Pathways of Tool Use Emergence across Animal Taxaen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 The Authorsen_US
dc.source.articlenumber101245en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.isci.2020.101245
dc.identifier.cristin1818091
dc.source.journaliScienceen_US
dc.identifier.citationiScience. 2020, 23 (6), 101245.en_US
dc.source.volume23en_US
dc.source.issue6en_US


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