Abstract
Ant foraging is a paradigmatic example of self-organized behavior. We give new experimental evidence for previously unobserved short-term adaptiveness in ant foraging and show that current mathematical foraging models cannot predict this behavior. As a true extension, we develop Itô diffusion models that explain the newly discovered behavior qualitatively and quantitatively. The theoretical analysis is supported by individual-based simulations. Our work shows that randomness is a key factor in allowing self-organizing systems to be adaptive. Implications for technical applications of Swarm Intelligence are discussed.
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References
Beckers, R., Deneubourg, J.L., Goss, S.: Modulation of trail laying in the ant Lasius niger and its role in the collective selection of a food source. Journal of Insect Behaviour 6, 751–759 (1993)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence—From Natural to Artificial Systems. Oxford University Press, Oxford (1999)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Inspiration for optimization from social insect behaviour. Nature 406, 39–42 (2000)
Camazine, S., et al.: Self-Organization in Biological Systems. Princeton University Press, Princeton (2001)
Capasso, V., Bakstein, D.: An Introduction to Continuous-Time Stochastic Processes. Birkhäuser, Basel (2005)
Casella, G., Berger, R.L.: Statistical Inference, 2nd edn. Duxbury (2002)
Deneubourg, J.L., Pasteels, J.M., Verhaeghe, J.C.: Probabilistic behavior in ants: A strategy of errors. Journal of Theoretical Biology 105, 259–271 (1983)
Deneubourg, J.L., et al.: The self-organizing exploratory pattern of the argentine ant. Journal of Insect Behaviour 3, 159–168 (1990)
Devigne, C., Detrain, C.: How does food distance influence foraging in the ant Lasius niger. Insectes Sociaux 53, 46–55 (2006)
Dressler, F.: Self-Organization in Sensor and Actor Networks. John Wiley, Chichester (2008)
Dussutour, A., Deneubourg, J.-L., Fourcassié, V.: Amplification of individual preferences in a social context: the case of wall-following in ants. Proceedings of the Royal Society London B 272, 705–714 (2005)
Gardiner, C.W.: Handbook of Stochastic Methods. Springer, Heidelberg (2004)
Garnier, S., Gautrais, J., Theraulaz, G.: The biological principles of swarm intelligence. Swarm Intelligence 1, 3–31 (2007)
Hölldobler, B., Wilson, E.O.: The Ants. Springer, Heidelberg (1990)
Meyer, B.: On the convergence behaviour of ant colony search. In: Asia-Pacific Conference on Complex Systems, Cairns (December 2004)
Nicolis, G., Prigogine, I.: Exploring Complexity. W.H.Freeman, New York (1989)
Nicolis, S.C., Deneubourg, J.L.: Emerging patterns and food recruitment in ants: an analytical study. Journal of Theoretical Biology 198, 575–592 (1999)
Risken, H.: The Fokker-Planck Equation. Springer, Heidelberg (1989)
Sumpter, D.J.T.: The principles of collective animal behaviour. Philosophical Transactions of the Royal Society B 361(1465), 5–22 (2003)
Weisbuch, G., Stauffer, D.: Hits and flops dynamics. Physica A 287, 563–576 (2000)
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Meyer, B., Beekman, M., Dussutour, A. (2008). Noise-Induced Adaptive Decision-Making in Ant-Foraging. In: Asada, M., Hallam, J.C.T., Meyer, JA., Tani, J. (eds) From Animals to Animats 10. SAB 2008. Lecture Notes in Computer Science(), vol 5040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69134-1_41
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DOI: https://doi.org/10.1007/978-3-540-69134-1_41
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