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Journal article : Review

Greater than the parts: a review of the information decomposition approach to causal emergence

Abstract:
Emergence 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1098/rsta.2021.0246

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0002-3461-6431


More from this funder
Funder identifier:
https://ror.org/0472cxd90
Funding agency for:
Seth, AK
Grant:
101019254
More from this funder
Funder identifier:
https://ror.org/029chgv08
Funding agency for:
Barrett, AB
Mediano, PAM
Grant:
210920/Z/18/Z
More from this funder
Funder identifier:
https://ror.org/033sn5p83
Funding agency for:
Luppi, AI
More from this funder
Funder identifier:
https://ror.org/04wpy7706
Funding agency for:
Seth, AK


Publisher:
The Royal Society
Journal:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences More from this journal
Volume:
380
Issue:
2227
Article number:
20210246
Place of publication:
England
Publication date:
2022-05-23
Acceptance date:
2022-02-07
DOI:
EISSN:
1471-2962
ISSN:
1364-503X
Pmid:
35599558


Language:
English
Keywords:
Subtype:
Review
Pubs id:
1979945
UUID:
uuid_f00998cf-2a60-45de-9b87-778f1ed6d7f5
Local pid:
pubs:1979945
Source identifiers:
W3212572250
Deposit date:
2025-12-19
ARK identifier:

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