, Volume 23, Issue 11, pp 1243–1257 | Cite as

How to Design Experiments in Animal Behaviour

3. How Do Ants Find the Shortest Path?
  • Raghavendra GadagkarEmail author
Series Article


In this article, I will describe how a simple, curiosity-based experiment to understand how ants are smart enough to choose the shortest path led the exploration of self-organization and swarm-intelligence and resulted in major applications in computer science and optimization algorithms. The focus will be on curiosity, simplicity, interdisciplinarity, and being unmindful of immediate applications.


Ethology Argentine ants trail pheromone experimental design ant colony optimization 


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Suggested Reading

  1. [1]
    A Flexner, The Usefulness of Useless Knowledge, Harpers, Issue 179, June/November 1939.
  2. [2]
    A Flexner, The Usefulness of Useless Knowledge, With a Companion Essay by Robert Dijkgraaf, Princeton University Press, Princeton and London, 2017.CrossRefGoogle Scholar
  3. [3]
    S Goss, S Aron, J-L Deneubourg, and J M Pasteels, Self-organized Shortcuts in the Argentine Ant, Naturwissenschaften, Vol.76, pp.579–581, 1989.CrossRefGoogle Scholar
  4. [4]
    R Gadagkar, The Making of a Scientist–A LifeWorthy of Admiration and Imitation, A Review of–Naturalist by E OWilson, Island Press/Shearwater Books, Washington D.C. (1994), Resonance - Journal of Science Education, Vol.1, No.4, pp.87–89, 1996.Google Scholar
  5. [5]
    B Hölldobler and E O Wilson, Journey to the Ants: A Story of Scientific Exploration, Harvard University Press, Cambridge, Massachusetts and London, England, 1994.Google Scholar
  6. [6]
    J-L Deneubourg, S Aron, S Goss, and J M Pasteels, The Self-Organizing Exploratory Pattern of the Argentine Ant, Journal of lnsect Behavior, Vol.3, pp.159–168, 1990.CrossRefGoogle Scholar
  7. [7]
    E Bonabeau, M Dorigo, G Theraulaz, Swarm Intelligence: From Natural to Artificial Systems, Sante Fe Institute Studies in the Sciences of Complexity, Oxford University Press, New York and London, 1999.Google Scholar
  8. [8]
    S Camazine, J-L Deneubourg, N R Franks, J Sneyd, G Theraulaz, E Bonabeau, Self-Organization In Biological Systems, Princeton University Press, Princeton and Oxford, 2003.Google Scholar
  9. [9]
    R Beckers, J-L Deneubourg, and S Goss, Modulation of Trail Laying in the Ant Lasius niger (Hymenoptera: Formicidae) and Its Role in the Collective Selection of a Food Source, Journal of lnsect Behavior, Vol.6, pp.751–759, 1993.CrossRefGoogle Scholar
  10. [10]
    M Dorigo and T Stützle, Ant Colony Optimization, The MIT Press, Cambridge, Massachusetts, London, England, Eastern Economy Edition, Prentice Hall India, New Delhi, 2004.Google Scholar
  11. [11]
    E Bonabeau, M Dorigo and G Theraulaz, Inspiration for Optimization from Social Insect Behaviour, Nature, Vol.406, pp.39–42, 2000.CrossRefGoogle Scholar

Copyright information

© Indian Academy of Sciences 2018

Authors and Affiliations

  1. 1.Centre for Ecological SciencesIndian Institute of ScienceBangaloreIndia

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