Evidence map›Paper›PMID 39880030›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2025

The road forward with swarm systems.

Hussein Abbass, Sanaz Mostaghim

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2025. 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

2 authors.

Hussein AbbassSchool of Systems and Computing, UNSW Canberra, Northcott Drive, Campbell, ACT 2600, Australia.ORCID 0000-0002-8837-0748
Sanaz MostaghimFaculty of Computer Science, Otto von Guericke University Magdeburg, Universitätsplatz, Magdeburg 39106, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in artificial intelligence (AI) and robotics are accelerating progress in swarm systems. Large and bulky autonomous systems are being replaced with many, smaller, cheaper, distributed, decentralized and collectively smarter systems. However, developing these swarm intelligence systems comes with multiple challenges, including technological challenges to engineer smaller and smarter machines, interaction challenges to design novel interfaces and modalities for communication and sociotechnical challenges related to trustworthiness, ethics and legalities. Swarm systems present philosophical and mathematical dilemmas that are worthy of deeper scientific inquiry. This introduction contextualizes the topic in the contemporary literature and shows the current research directions and evolution of swarm systems using 11 carefully selected papers in this special theme. We conclude by discussing the way forward for swarm systems.This article is part of the theme issue 'The road forward with swarm systems'.

Indexed as

artificial intelligencehuman–swarm teamingswarm intelligenceswarm roboticsswarm systems

Identifiers

PMID39880030
PMCPMC11779538

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.