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dc.contributor.authorMediano, Pedro AM
dc.contributor.authorRosas, Fernando E
dc.contributor.authorLuppi, Andrea
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.accessioned2022-05-23T09:00:11Z
dc.date.available2022-05-23T09:00:11Z
dc.date.issued2022-07-11
dc.date.submitted2021-09-15
dc.identifier.issn1364-503X
dc.identifier.otherrsta20210246
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337398
dc.descriptionFunder: Gates Cambridge Trust; Id: http://dx.doi.org/10.13039/501100005370
dc.descriptionFunder: Ad Astra Chandria foundation
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.languageen
dc.publisherThe Royal Society
dc.subjectARTICLES
dc.subjectResearch articles
dc.subjectsynergy
dc.subjectemergence
dc.subjectinformation decomposition
dc.titleGreater than the parts: a review of the information decomposition approach to causal emergence.
dc.typeArticle
dc.date.updated2022-05-23T09:00:10Z
prism.issueIdentifier2227
prism.publicationNamePhilos Trans A Math Phys Eng Sci
prism.volume380
dc.identifier.doi10.17863/CAM.84811
dcterms.dateAccepted2022-02-07
rioxxterms.versionofrecord10.1098/rsta.2021.0246
rioxxterms.versionAO
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidRosas, Fernando E [0000-0001-7790-6183]
dc.contributor.orcidLuppi, Andrea [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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