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Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites

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Advances in Artificial Life (ECAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

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Abstract

When an ant colony needs to find a new nest, scouts are sent out to evaluate the suitability of potential sites, particularly their size. It has been suggested that ant scouts of Leptothorax albipennis use a simple heuristic known as Buffon’s needle to evaluate nest size. They do this in two stages: first laying a pheromone trail in the nest site, then, after a return to the old nest, coming back and wandering within the site assessing frequency of intersection with the pheromone trail (“two-pass” strategy). If a colony is forced to relocate from its current nest due to destruction of that nest, the time required to find a suitable new nest may be crucial. This paper details preliminary results from a computer simulation model of evaluation of nest size. The model aims to study why a “two-pass” strategy is used by ants when a “one-pass” strategy, in which the ant simultaneously lays pheromone and assesses the frequency at which it encounters its own trail, may be more time efficient. Analysis of the results indicates no clear advantage for the “two-pass” strategy, given the assumptions of the model. Possible implications of this result are discussed.

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References

  1. Axtell, R., Axelrod, R., Epstein, J.M., Cohen, M.D.: Aligning Simulation Models: A Case Study and Results. Comput. Math. Organ. Theory 1, 123–141 (1996)

    Article  Google Scholar 

  2. Bonabeau, E., Theraulaz, G., Deneubourg, J.-L.: Quantitative Study of the Fixed Thresh-old Model for the Regulation of Division of Labour in Insect Societies. Proc R. Soc. Lond. B 263, 1565–1569 (1996)

    Article  Google Scholar 

  3. Deneubourg, J.-L., Goss, S., Franks, N.R.: The Blind Leading the Blind: Modelling Chemically Mediated Army Ant Raid Patterns. J. Insect. Behav. 2, 719–725 (1989)

    Article  Google Scholar 

  4. Mallon, E.B., Franks, N.R.: Ants Estimate Area Using Buffon’s Needle. Proc. R. Soc. Lond. B 267, 765–770 (2000)

    Article  Google Scholar 

  5. Mugford, S.T., Mallon, E.B., Franks, N.R.: The Accuracy of Buffon’s Needle: A Rule of Thumb Used by Ants to Estimate Area. Behav. Ecol. 12, 655–658 (2001)

    Article  Google Scholar 

  6. Şahin, E., Franks, N.R.: Simulation of nest assessment behavior by ant scouts. In: Dorigo, M., Di Caro, G.A., Sampels, M. (eds.) Ant Algorithms 2002. LNCS, vol. 2463, pp. 274–281. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  7. Théraulaz, G., Bonabeau, E.: Modelling the Collective Building of Complex Architectures in Social Insects with Lattice Swarms. J. Theor. Biol. 177, 100–381 (1995)

    Article  Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Marshall, J.A.R., Kovacs, T., Dornhaus, A.R., Franks, N.R. (2003). Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_69

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  • DOI: https://doi.org/10.1007/978-3-540-39432-7_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

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