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dc.contributor.authorBucchiarone, Antonio
dc.contributor.authorD'Angelo, Mirko
dc.contributor.authorPianini, Danilo
dc.contributor.authorCabri, Giacomo
dc.contributor.authorDe Sanctis, Martina
dc.contributor.authorViroli, Mirko
dc.contributor.authorCasadei, Roberto
dc.contributor.authorDobson, Simon
dc.date.accessioned2020-11-24T10:30:02Z
dc.date.available2020-11-24T10:30:02Z
dc.date.issued2020-09-22
dc.identifier.citationBucchiarone , A , D'Angelo , M , Pianini , D , Cabri , G , De Sanctis , M , Viroli , M , Casadei , R & Dobson , S 2020 , ' On the social implications of collective adaptive systems ' , IEEE Technology and Society Magazine , vol. 39 , no. 3 , pp. 36-46 . https://doi.org/10.1109/MTS.2020.3012324en
dc.identifier.issn0278-0097
dc.identifier.otherPURE: 270683852
dc.identifier.otherPURE UUID: 2768bd80-7419-4979-9feb-455f052af81e
dc.identifier.otherWOS: 000572614300001
dc.identifier.otherORCID: /0000-0001-9633-2103/work/82179931
dc.identifier.otherScopus: 85092181524
dc.identifier.urihttps://hdl.handle.net/10023/21051
dc.description.abstractMany Collective Adaptive Systems (CASs) exist in nature: think of ant colonies, where large collectives of ants operate autonomously but interact with other ants and the environment to provide resilient global behaviors that sustain their colony. Following scientific studies that were aimed at understanding and predicting the evolution of these systems, and fueled by technological advances, research has started to investigate CAS engineering: the methods, tools, and techniques for building CASs. This naturally leads to a vision where collectives of humans and computational elements, situated both in the digital and physical worlds, collaborate to give rise to "intelligent" collective behavior supporting novel kinds of applications and services. Humans can be involved in two ways: both as users and as components of the CAS, in the sense that human behaviors and limitations are often integral to the system description. This has significant social implications that need to be considered by CAS researchers: in this paper, we share a discussion that took place between some experts thinking about CAS engineering, focusing on the social implication of CASs and related open research challenges. We hope that this provides a useful context for future research projects, research grant proposals, and research directions.
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofIEEE Technology and Society Magazineen
dc.rightsCopyright © 2020 IEEE. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/MTS.2020.3012324.en
dc.subjectAdaptive systemsen
dc.subjectPrivacyen
dc.subjectArtificial intelligenceen
dc.subjectSoftware engineeringen
dc.subjectDistributed computingen
dc.subjectCyber-physical systemsen
dc.subjectRobustnessen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleOn the social implications of collective adaptive systemsen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1109/MTS.2020.3012324
dc.description.statusPeer revieweden


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