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dc.contributor.authorMediano, Pedro AM
dc.contributor.authorRosas, Fernando E
dc.contributor.authorLuppi, Andrea I
dc.contributor.authorJensen, Henrik J
dc.contributor.authorSeth, Anil K
dc.contributor.authorBarrett, Adam B
dc.contributor.authorCarhart-Harris, Robin L
dc.contributor.authorBor, Daniel
dc.date.accessioned2022-06-29T19:49:19Z
dc.date.available2022-06-29T19:49:19Z
dc.date.issued2022-07-11
dc.identifier.citationPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences, volume 380, issue 2227, page 20210246
dc.identifier.issn1364-503X
dc.identifier.other35599558
dc.identifier.otherPMC9125226
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338584
dc.descriptionFunder: Ad Astra Chandria foundation
dc.descriptionFunder: Gates Cambridge Trust
dc.description.abstractEmergence is a profound subject that straddles many scientific disciplines, including the formation of galaxies and how consciousness arises from the collective activity of neurons. Despite the broad interest that exists on this concept, the study of emergence has suffered from a lack of formalisms that could be used to guide discussions and advance theories. Here, we summarize, elaborate on, and extend a recent formal theory of causal emergence based on information decomposition, which is quantifiable and amenable to empirical testing. This theory relates emergence with information about a system's temporal evolution that cannot be obtained from the parts of the system separately. This article provides an accessible but rigorous introduction to the framework, discussing the merits of the approach in various scenarios of interest. We also discuss several interpretation issues and potential misunderstandings, while highlighting the distinctive benefits of this formalism. This article is part of the theme issue 'Emergent phenomena in complex physical and socio-technical systems: from cells to societies'.
dc.languageeng
dc.publisherThe Royal Society
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 1471-2962
dc.sourcenlmid: 101133385
dc.subjectsynergy
dc.subjectemergence
dc.subjectInformation Decomposition
dc.subjectNeurons
dc.subjectConsciousness
dc.subjectCausality
dc.subjectModels, Theoretical
dc.titleGreater than the parts: a review of the information decomposition approach to causal emergence.
dc.typeArticle
dc.date.updated2022-06-29T19:49:19Z
prism.publicationNamePhilos Trans A Math Phys Eng Sci
dc.identifier.doi10.17863/CAM.85997
rioxxterms.versionofrecord10.1098/rsta.2021.0246
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidRosas, Fernando E [0000-0001-7790-6183]
dc.contributor.orcidLuppi, Andrea I [0000-0002-3461-6431]
dc.contributor.orcidJensen, Henrik J [0000-0002-5398-3288]
dc.contributor.orcidSeth, Anil K [0000-0002-1421-6051]
dc.identifier.eissn1471-2962
pubs.funder-project-idWellcome Trust (210920/Z/18/Z)
cam.issuedOnline2022-05-23


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International