Cited by 227Insect and Arachnid Ecology and BehaviorNonlinear Dynamics and Pattern FormationComplex Systems and Dynamics

Spatial patterns in ant colonies

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Theraulaz, Guy, Bonabeau, Eric, Nicolis, Stamatios C., Solé, Ricard V., Fourcassié, Vincent, Blanco, Stéphane, Fournier, Richard, Joly, Jean-Louis +4 more·2002·Proceedings of the National Academy of Sciences

Abstract

The origins of large-scale spatial patterns in biology have been an important source of theoretical speculation since the pioneering work by Turing (1952) on the chemical basis of morphogenesis. Knowing how these patterns emerge and their functional role is important to our understanding of the evolution of biocomplexity and the role played by self organization. However, so far, conclusive evidence for local activation–long-range inhibition mechanisms in real biological systems has been elusive. Here a well-defined experimental and theoretical analysis of the pattern formation dynamics exhibited by clustering behavior in ant colonies is presented. These experiments and a simple mathematical model show that these colonies do indeed use this type of mechanism. All microscopic variables have been measured and provide the first evidence, to our knowledge, for this type of self-organized behavior in complex biological systems, supporting early conjectures about its role in the organization of insect societies.

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Crossref · 10.1073/pnas.152302199

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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 [265]

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Authors
Theraulaz, G., Bonabeau, E., Nicolis, S. C., Solé, R. V., Fourcassié, V., Blanco, S., Fournier, R., Joly, J.-L., Fernández, P., Grimal, A., Dalle, P., & Deneubourg, J.-L.
Affiliations
  • Laboratoire d'Ethologie et Cognition Animale, Centre National de la Recherche Scientifique, Formation de Recherche en Evolution 2382, Equipe Traitement et Compréhension d'Images, IRIT, and Laboratoire d'Energétique, Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cédex 4, France; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501; Eurobios, 9 Rue de Grenelle, 75007 Paris, France; Center for Nonlinear Phenomena and Complex Systems, CP 231, Université Libre de Bruxelles,...
  • Centre National de la Recherche Scientifique (FR)
  • Uppsala University (SE)
Venue
Proceedings of the National Academy of Sciences
Published
2002-07-11
Volume
99
Issue
15
Pages
9645-9649
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2125534966
Cited by
227
References
1
Citations by year
2026: 5 · 2025: 7 · 2024: 10 · 2023: 8 · 2022: 6 · 2021: 9 · 2020: 12 · 2019: 5 · 2018: 6 · 2017: 6 · 2016: 13 · 2015: 9 · 2014: 10 · 2013: 11 · 2012: 11
FWCI
4.97
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Insect and Arachnid Ecology and Behavior
  • Physical Sciences › Computer Science › Computer Networks and Communications › Nonlinear Dynamics and Pattern Formation
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
Keywords
ant colonies, spatial patterns, pattern formation, self-organization, clustering behavior, social insects, morphogenesis, collective behavior
MeSH terms
Animals, Ants, Kinetics, Morphogenesis, Population Density, Social Behavior, Time Factors

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