Show simple item record

dc.contributor.authorKhan, Imran
dc.contributor.authorLewis, Matthew
dc.contributor.authorCañamero, Lola
dc.contributor.editorBongard, Josh
dc.contributor.editorLovato, Juniper
dc.contributor.editorHebert-Dufrésne, Laurent
dc.contributor.editorDasari, Radhakrishna
dc.contributor.editorSoros, Lisa
dc.date.accessioned2020-07-28T00:02:25Z
dc.date.available2020-07-28T00:02:25Z
dc.date.issued2020-07-14
dc.identifier.citationKhan , I , Lewis , M & Cañamero , L 2020 , Modelling the Social Buffering Hypothesis in an Artificial Life Environment . in J Bongard , J Lovato , L Hebert-Dufrésne , R Dasari & L Soros (eds) , ALIFE 2020 : The 2020 Conference on Artificial Life . vol. 32 , The MIT Press , pp. 393-401 , 2020 Conference on Artificial Life , 13/07/20 . https://doi.org/10.1162/isal_a_00302
dc.identifier.citationconference
dc.identifier.otherPURE: 21897214
dc.identifier.otherPURE UUID: a50e3bad-caf8-4d1d-a065-1b57ab1e2010
dc.identifier.urihttp://hdl.handle.net/2299/23002
dc.description© 2020 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license: https://creativecommons.org/licenses/by/4.0/.
dc.description.abstractIn social species, individuals who form social bonds have been found to live longer, healthier lives. One hypothesised reason for this effect is that social support, mediated by oxytocin, “buffers” responses to stress in a number of ways, and is considered an important process of adaptation that facilitates long-term wellbeing in changing, stressful conditions. Using an artificial life model, we have investigated the role of one hypothesised stress-reducing effect of social support on the survival and social interactions of agents in a small society. We have investigated this effect using different types of social bonds and bond partner combinations across environmentally-challenging conditions. Our results have found that stress reduction through social support benefits the survival of agents with social bonds, and that this effect often extends to the wider society. We have also found that this effect is significantly affected by environmental and social contexts. Our findings suggest that these “social buffering” effects may not be universal, but dependent upon the degree of environmental challenges, the quality of affective relationships and the wider social context.en
dc.format.extent9
dc.language.isoeng
dc.publisherThe MIT Press
dc.relation.ispartofALIFE 2020
dc.titleModelling the Social Buffering Hypothesis in an Artificial Life Environmenten
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1162/isal_a_00302
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record