A locally-blazed ant trail achieves efficient collective navigation despite limited information

  1. Ehud Fonio
  2. Yael Heyman
  3. Lucas Boczkowski
  4. Aviram Gelblum
  5. Adrian Kosowski
  6. Amos Korman  Is a corresponding author
  7. Ofer Feinerman  Is a corresponding author
  1. Department of Physics of complex systems, Israel
  2. Weizmann Institute of Science, Israel
  3. Institut de Recherche en Informatique Fondamentale, CNRS and University Paris Diderot, France
  4. Institut de Recherche en Informatique Fondamentale, INRIA and University Paris Diderot, France

Abstract

Any organism faces sensory and cognitive limitations which may result in maladaptive decisions. Such limitations are prominent in the context of groups where the relevant information at the individual level may not coincide with collective requirements. Here, we study the navigational decisions exhibited by Paratrechina longicornis ants as they cooperatively transport a large food item. These decisions hinge on the perception of individuals which often fails to supply the group with reliable directional information. We find that, to achieve efficient navigation despite partial and even misleading information, these ants employ a locally-blazed trail. This trail significantly deviates from the classical notion of an ant trail: First, instead of systematically marking the full path, ants mark short segments originating at the load. Second, the carrying team constantly loses the guiding trail. We experimentally and theoretically show that the locally-blazed trail optimally and robustly exploits useful knowledge while avoiding the pitfalls of misleading information.

Article and author information

Author details

  1. Ehud Fonio

    The Weizmann Institute of Science, Department of Physics of complex systems, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
  2. Yael Heyman

    Department of Physics of complex systems, Weizmann Institute of Science, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
  3. Lucas Boczkowski

    Institut de Recherche en Informatique Fondamentale, CNRS and University Paris Diderot, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
  4. Aviram Gelblum

    Department of Physics of complex systems, Weizmann Institute of Science, Rehovot, Israel
    Competing interests
    The authors declare that no competing interests exist.
  5. Adrian Kosowski

    Institut de Recherche en Informatique Fondamentale, INRIA and University Paris Diderot, Paris, France
    Competing interests
    The authors declare that no competing interests exist.
  6. Amos Korman

    Institut de Recherche en Informatique Fondamentale, INRIA and University Paris Diderot, Paris, France
    For correspondence
    pandit@liafa.univ-paris-diderot.fr
    Competing interests
    The authors declare that no competing interests exist.
  7. Ofer Feinerman

    Department of Physics of complex systems, Weizmann Institute of Science, Rehovot, Israel
    For correspondence
    ofer.feinerman@weizmann.ac.il
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4145-0238

Funding

European Research Council (DBA-648032)

  • Amos Korman
  • Ofer Feinerman

Israel Science Foundation (833/15)

  • Ofer Feinerman

Narodowe Centrum Nauki (2015/17/B/ST6/01897)

  • Adrian Kosowski

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Russ Fernald, Stanford University, United States

Version history

  1. Received: July 30, 2016
  2. Accepted: November 3, 2016
  3. Accepted Manuscript published: November 5, 2016 (version 1)
  4. Version of Record published: December 7, 2016 (version 2)

Copyright

© 2016, Fonio et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Ehud Fonio
  2. Yael Heyman
  3. Lucas Boczkowski
  4. Aviram Gelblum
  5. Adrian Kosowski
  6. Amos Korman
  7. Ofer Feinerman
(2016)
A locally-blazed ant trail achieves efficient collective navigation despite limited information
eLife 5:e20185.
https://doi.org/10.7554/eLife.20185

Share this article

https://doi.org/10.7554/eLife.20185

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