Evidence map›Paper›PMID 29531351›Full record

ArticleScientific reports2018

Psychophysical Laws and the Superorganism.

Andreagiovanni Reina, Thomas Bose, Vito Trianni, James A R Marshall

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. The emergence of a collective sensory response threshold in ant colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Biology · 2021
    Article
  9. Weber's Law-based perception and the stability of animal groups.Journal of the Royal Society, Interface · 2019
    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.

Andreagiovanni ReinaDepartment of Computer Science, University of Sheffield, Sheffield, S1 4DP, UK. a.reina@sheffield.ac.uk.
Thomas BoseDepartment of Computer Science, University of Sheffield, Sheffield, S1 4DP, UK.
Vito TrianniISTC, Italian National Research Council, Rome, Italy.ORCID 0000-0002-9114-8486
James A R MarshallDepartment of Computer Science, University of Sheffield, Sheffield, S1 4DP, UK.ORCID 0000-0002-1506-167X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through theoretical analysis, we show how a superorganism may react to stimulus variations according to psychophysical laws observed in humans and other animals. We investigate an empirically-motivated honeybee house-hunting model, which describes a value-sensitive decision process over potential nest-sites, at the level of the colony. In this study, we show how colony decision time increases with the number of available nests, in agreement with the Hick-Hyman law of psychophysics, and decreases with mean nest quality, in agreement with Piéron's law. We also show that colony error rate depends on mean nest quality, and difference in quality, in agreement with Weber's law. Psychophysical laws, particularly Weber's law, have been found in diverse species, including unicellular organisms. Our theoretical results predict that superorganisms may also exhibit such behaviour, suggesting that these laws arise from fundamental mechanisms of information processing and decision-making. Finally, we propose a combined psychophysical law which unifies Hick-Hyman's law and Piéron's law, traditionally studied independently; this unified law makes predictions that can be empirically tested.

Identifiers

PMID29531351
PMCPMC5847525

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Registered trials

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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.