Evidence map›Paper›PMID 37065270›Full record

ArticleInterface focus2023

The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.

Léo Pio-Lopez, Johanna Bischof, Jennifer V LaPalme, Michael Levin

Abstract read
In one paragraph

Article in Interface focus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Léo Pio-LopezAllen Discovery Center, Tufts University, Medford, MA, USA.
Johanna BischofEuro-BioImaging ERIC Bio-Hub, EMBL, Germany.
Jennifer V LaPalmeUniversity of Massachusetts Medical School, MA, USA.
Michael LevinAllen Discovery Center, Tufts University, Medford, MA, USA.ORCID 0000-0001-7292-8084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex living agents consist of cells, which are themselves competent sub-agents navigating physiological and metabolic spaces. Behaviour science, evolutionary developmental biology and the field of machine intelligence all seek to understand the scaling of biological cognition: what enables individual cells to integrate their activities to result in the emergence of a novel, higher-level intelligence with large-scale goals and competencies that belong to it and not to its parts? Here, we report the results of simulations based on the TAME framework, which proposes that evolution pivoted the collective intelligence of cells during morphogenesis of the body into traditional behavioural intelligence by scaling up homeostatic competencies of cells in metabolic space. In this article, we created a minimal

Indexed as

active inferenceartificial embryogenyartificial lifemodellingmorphogenesisteleonomy

Identifiers

PMID37065270
PMCPMC10102734

What OpenQuestion holds

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LicenceCC BY
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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.