Evidence map›Paper›PMID 18319208›Full record

ArticleJournal of the Royal Society, Interface2008

Top-down causation by information control: from a philosophical problem to a scientific research programme.

G Auletta, G F R Ellis, L Jaeger

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Whole-to-parts causation mechanism.Frontiers in psychology · 2026
    Article
  4. How causal is "circular causality"?Frontiers in network physiology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Informational architecture across non-living and living collectives.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Review
  11. Who's who inPeerJ · 2021
    Article
  12. Article
  13. The Cognitive Lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  14. Article
  15. Article
  16. Systems Medicine-Complexity Within, Simplicity Without.Journal of healthcare informatics research · 2017
    Article
  17. Review
  18. New scaling relation for information transfer in biological networks.Journal of the Royal Society, Interface · 2015
    Article
  19. Knowing one's place: a free-energy approach to pattern regulation.Journal of the Royal Society, Interface · 2015
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

G AulettaPontifical Gregorian University, 00187 Rome, Italy.
G F R Ellis
L Jaeger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been claimed that different types of causes must be considered in biological systems, including top-down as well as same-level and bottom-up causation, thus enabling the top levels to be causally efficacious in their own right. To clarify this issue, the important distinctions between information and signs are introduced here and the concepts of information control and functional equivalence classes in those systems are rigorously defined and used to characterize when top-down causation by feedback control happens, in a way that is testable. The causally significant elements we consider are equivalence classes of lower level processes, realized in biological systems through different operations having the same outcome within the context of information control and networks.

Indexed as

Models, TheoreticalDNAFeedbackInformation ManagementRNADNARNA

Identifiers

PMID18319208
PMCPMC3226993

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.