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A Method for Designing Ant Colony Models and Two Examples of Its Application

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Book cover Advances in Artificial Life (ECAL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3630))

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Abstract

An ant colony shows collective behavior through signal patterns formed by individual ants communicating among themselves. In this paper I devise a method for designing ant colony model and apply the method to design two types of ant colonies, focusing on ant sensitivity to signals. In the first type, I design three foraging models (trail, attraction and desensitization), by modifying a simple foraging model repeatedly, changing ant sensitivity to recruit pheromone to improve foraging by regulating allocation of ants. Out of them, the desensitization model shows the best foraging efficiency as a result of balanced allocation and stable behavior. In the second type, I design a task-allocation model between foraging and mound-piling tasks using independent signals for each task. It shows weak interaction between these tasks.

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References

  1. Nakamura, M., Kurumatani, K.: Formation mechanism of pheromone pattern and control of foraging behavior of an ant colony. In: Langton, C.G., et al. (eds.) Artificial Life V, pp. 64–77. MIT Press, Cambridge (1997)

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  2. Stephens, D.W., Krebs, J.R.: Foraging theory. Princeton University Press, Princeton (1986)

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  3. Gordon, D.M.: Ants at work, pp. 143–147. W. W. Norton Company, New York (2000)

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  4. Deneubourg, J.-L., et al.: Probabilistic Behavior in Ants; A Strategy of Errors? J. Theor. Biol. 105, 259–271 (1983)

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Author information

Authors and Affiliations

  1. Research Institute for Cell Engineering (RICE), National Institute of Advanced Industrial Science and Technology (AIST), 3-11-46 Nakoji Amagasaki, Hyogo, 661-0974, Japan

    Mari Nakamura

  2. Information Technology Research Institute, AIST,  

    Koichi Kurumatani

Authors
  1. Mari Nakamura
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  2. Koichi Kurumatani
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Editor information

Editors and Affiliations

  1. Natural Computation Group, University of Kent, CT2 7NF, Canterbury, UK

    Mathieu S. Capcarrère

  2. Computing Laboratory and Centre for BioMedical Informatics, University of Kent, CT2 7NF, Canterbury, UK

    Alex A. Freitas

  3. Computer Science Department, University College London, London, UK

    Peter J. Bentley

  4. Computing Laboratory, University of Kent, Canterbury, UK

    Colin G. Johnson

  5. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

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© 2005 Springer-Verlag Berlin Heidelberg

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Nakamura, M., Kurumatani, K. (2005). A Method for Designing Ant Colony Models and Two Examples of Its Application. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_54

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  • DOI: https://doi.org/10.1007/11553090_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28848-0

  • Online ISBN: 978-3-540-31816-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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