Cited by 889Modular Robots and Swarm IntelligenceDistributed Control Multi-Agent SystemsEvacuation and Crowd Dynamics

The Dynamics of Collective Sorting: Robot-Like Ants and Ant-Like Robots

Open access
Deneubourg, J. L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., Chrétien, L.·1991·From Animals to Animats

Abstract

info:eu-repo/semantics/published

Integrity signals

Registry

Crossref · 10.7551/mitpress/3115.003.0048

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  • The basic McCulloch-Pitts design is common to many other living systems, including gene regulatory networks, immune networks, collective intelligence or some aneural systems, such as quorum-sensing decisions in microbial communities.

    “Interestingly, the basic McCulloch–Pitts design is common to many other living systems, including gene regulatory networks [256–259], immune networks [260–262], collective intelligence [263–267] or some aneural systems, such as quorum-sensing decisions in microbial communities, where an explicit equivalence has been defined [268].”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [263]

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Authors
Deneubourg, J. L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., & Chrétien, L.
Venue
From Animals to Animats
Publisher
The MIT Press
Published
1991-02-04
Pages
356-364
OpenAlex
W1512313081
Cited by
889
References
0
Citations by year
2026: 5 · 2025: 7 · 2024: 6 · 2023: 3 · 2022: 8 · 2021: 8 · 2020: 10 · 2019: 14 · 2018: 20 · 2017: 22 · 2016: 30 · 2015: 43 · 2014: 46 · 2013: 47 · 2012: 49
FWCI
51.06
Type
book chapter
Language
en
Open access
Licence
other-oa
Locations
  • The MIT Press eBooks (publishedVersion)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
  • Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
  • Social Sciences › Safety Research › Evacuation and Crowd Dynamics
Keywords
swarm robotics, collective behavior, biomimetic robots, self-organization

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