Evidence map›Paper›PMID 42774186›Full record

ArticleFrontiers in psychology2026

Pros and cons of sociality across ecological niches: a swarm robotics approach.

Roman Miletitch, Nicolas Cambier, Antonio Benítez-Burraco, Limor Raviv

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Roman MiletitchLanguage Evolution and Adaptation in Diverse Situations (LEADS) Group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.
Nicolas CambierComputational Intelligence Group, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Antonio Benítez-BurracoDepartment of Spanish, Linguistics and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain.
Limor RavivLanguage Evolution and Adaptation in Diverse Situations (LEADS) Group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of language is closely linked to an increase in human sociality. But when is increased sociality an adaptive strategy? Swarm Robotics, which studies the collective behaviors of large populations of interacting robots with simple embodied cognition, is an ideal testbed for studying the environmental conditions that may favor the evolution of more social behaviors and cooperative language. Here, we introduce the notion of parametrizable sociality to classic swarm robotics models, and test the foraging and communication behaviors of robots with different degrees of sociality under different environmental conditions, which have been previously implicated in eliciting this increase in prosocial behavior in human history. Our results show that in abundant environments with plenty of resources, higher innate sociality is consistently beneficial only in the absence of aggressive competition. Nevertheless, social agents typically outperform aggressive agents in the short-term in both abundant and scarce environments. In scarce environments with fewer resources, this short-term advantage is especially beneficial as it enables agents to forage as much food as possible before depletion. Together, our results suggest that sociality provides an evolutionary advantage in specific conditions, which maps to the potential ecological niches in which early humans have evolved.

Indexed as

collective decision-makingcooperationecological conditionsfitnessforaginglanguage evolutionsocialityswarm robotics

Identifiers

PMID42774186
PMCPMC13593817

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.