Show simple item record

Files in this item


Item metadata

dc.contributor.authorRamos-Fernandez, Gabriel
dc.contributor.authorKing, Andrew J.
dc.contributor.authorBeehner, Jacinta C.
dc.contributor.authorBergman, Thore J.
dc.contributor.authorCrofoot, Margaret C.
dc.contributor.authorDi Fiore, Anthony
dc.contributor.authorLehmann, Julia
dc.contributor.authorSchaffner, Colleen M.
dc.contributor.authorSnyder-Mackler, Noah
dc.contributor.authorZuberbühler, Klaus
dc.contributor.authorAureli, Filippo
dc.contributor.authorBoyer, Denis
dc.identifier.citationRamos-Fernandez , G , King , A J , Beehner , J C , Bergman , T J , Crofoot , M C , Di Fiore , A , Lehmann , J , Schaffner , C M , Snyder-Mackler , N , Zuberbühler , K , Aureli , F & Boyer , D 2018 , ' Quantifying uncertainty due to fission–fusion dynamics as a component of social complexity ' , Proceedings of the Royal Society B: Biological Sciences , vol. 285 , no. 1879 , 20180532 .
dc.identifier.otherORCID: /0000-0001-8378-088X/work/64360637
dc.descriptionFunding was provided by CONACYT and Instituto Politécnico Nacional (G.R.F.), Santander Mobility Award/Swansea University (A.J.K.), Wildlife Conservation Society, National Geographic Society, Leakey Foundation, National Science Foundation and the National Institute on Aging (T.J.B., J.C.B. and N.S.M.), National Geographic, CONACYT and Chester Zoo (F.A. and C.S.), UNAM PAPIIT-105015 (D.B.), NSF IOS-1255974, BCS-0715179 (T.B. and J.B.), SBE-1723237 and NIH R00-AG051764 (N.S.M.) (T.B. and J.B.) and NSF III 1514174 and David and Lucile Packard Foundation 2016-65130 (M.C.C.).en
dc.description.abstractGroups of animals (including humans) may showflexible grouping patterns, in which temporary aggregations or subgroups come together and split, changing composition over short temporal scales, (i.e. fission and fusion). A high degree of fission–fusion dynamics may constrain the regulation of social relationships, introducing uncertainty in interactions between group members. Here we use Shannon’s entropy to quantify the predictability of subgroup composition for three species known to differ in the way their subgroups come together and split over time: spider monkeys (Ateles geoffroyi), chimpanzees (Pan troglodytes) and geladas (Theropithecus gelada). We formulate a random expectation of entropy that considers subgroup size variation and sample size, against which the observed entropy in subgroup composition can be compared. Using the theory of set partitioning, we also develop a method to estimate the number of subgroups that the group is likely to be divided into, based on the composition and size of single focal subgroups. Our results indicate that Shannon’s entropy and the estimated number of subgroups present at a given time provide quantitative metrics of uncertainty in the social environment (within which social relationships must be regulated) for groups with different degrees of fission–fusion dynamics. These metrics also represent an indirect quantification of the cognitive challenges posed by socially dynamic environments. Overall, our novel methodological approach provides new insight for understanding the evolution of social complexity and the mechanisms to cope with the uncertainty that results from fission–fusion dynamics.
dc.relation.ispartofProceedings of the Royal Society B: Biological Sciencesen
dc.subjectFission–fusion dynamicsen
dc.subjectShannon’s entropyen
dc.subjectSocial cognitionen
dc.subjectSocial complexityen
dc.subjectSocial intelligenceen
dc.subjectSocial uncertaintyen
dc.subjectQH301 Biologyen
dc.subjectBF Psychologyen
dc.subjectBiochemistry, Genetics and Molecular Biology(all)en
dc.subjectImmunology and Microbiology(all)en
dc.subjectEnvironmental Science(all)en
dc.subjectAgricultural and Biological Sciences(all)en
dc.titleQuantifying uncertainty due to fission–fusion dynamics as a component of social complexityen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
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.description.statusPeer revieweden

This item appears in the following Collection(s)

Show simple item record