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Three Foraging Models Comprised of Ants with Different Pheromone Sensitivities

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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Abstract

An ant colony shows collective behavior through signal patterns formed by individual ants communicating among themselves who behave according to local information. First, in this paper I devise a method for designing ant colony models that describes both the formation mechanism of signal patterns and the regulation mechanism of task allocation. Next, using the above method, 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 to subtasks. Out of them, the desensitization model shows the best foraging efficiency as a result of both proper allocation among subtasks and stable behavior.

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References

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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

Authors
  1. Mari Nakamura
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Nakamura, M. (2005). Three Foraging Models Comprised of Ants with Different Pheromone Sensitivities. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_66

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  • DOI: https://doi.org/10.1007/11554028_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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