Abstract
We independently implemented and studied the nest-site selection model described in Passino, K. M., and Seeley, T. D., “Modeling and analysis of nest-site selection by honeybee swarms,” 2006, focusing on the default parameter values they obtained by field calibration. We focus on aspects of the model pertaining both to imitation and social learning and to the model as kind of metaheuristic. Among other things, we find that the model is robust to different parameterizations of social learning, but that at least a modicum of social learning is essential for successful nest-site selection (in the model). Regarding the model as a metaheuristic, we find that it robustly produces good but significantly non-optimal nest-site selections. Instead of a single-criterion metaheuristic, the algorithm is best seen as balancing three objectives: choose the best of the available sites in the neighborhood, make the choice quickly, minimize risk of failing to choose a site.
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Notes
- 1.
Thanks to Tony Kroch for directing our attention to this example; he is, of course, not responsible for our interpretation.
References
Blum, C., & Roli, A. (2003). Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys, 35(3), 268–308.
Bogacz, R., Usher, M., Zhang, J., & McClelland, J. L. (2007). Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1485), 1655–1670.
Boyd, R., & Richerson, P. J. (1988). Culture and the evolutionary process. Chicago: University of Chicago Press.
Cohen, D., Nisbett, R. E., Bowdle, B. F., & Schwarz, N. (1996). Insult, aggression, and the southern culture of honor: an ‘experimental ethnography’. Journal of Personality and Social Psychology, 70(5), 945–960.
Hockett, C. F. (1960). The origin of speech. Scientific American, 203(3), 88–97.
Hoppitt, W., & Laland, K. N. (2013). Social learning: An introduction to mechanisms, methods, and models. Princeton: Princeton University Press.
Kimbrough, S. O. (2012). Agents, games, and evolution: Strategies at work and play. Boca Raton: CRC Press.
Kimbrough, S. O., & Lau, H. C. (2016). Business analytics for decision making. Boca Raton: CRC Press.
Laland, K. N. (2017). Darwin’s unfinished symphony: How culture made the human mind. Princeton: Princeton University Press.
Mesoudi, A. (2011). Cultural evolution: How Darwinian theory can explain human culture & synthesize the social sciences. Chicago: University of Chicago Press.
Nikolaev, A. G., & Jacobson, S. H. (2010). Simulated annealing. In Handbook of metaheuristics, M. Gendreau & J.-Y. Potvin (Eds.). International Series in Operations Research & Management Science (2nd ed., Vol. 146, pp. 1–39). New York: Springer.
Nunn, N., & Wantchekon, L. (2011). The slave trade and the origins of mistrust in Africa. American Economic Review, 101(7), 3221–52.
Passino, K. M., & Seeley, T. D. (2006). Modeling and analysis of nest-site selection by honeybee swarms. Behavioral Ecology and Sociobiology, 59(3), 427–442.
Rendell, L., Boyd, R., Cownden, D., Enquist, M., Eriksson, K., Feldman, M. W., et al. (2010). Why copy others? Insights from the social learning strategies tournament. Science, 328, 208–213.
Ribeiro, C., & Hansen, P. (Eds.) (2001). Essays and surveys in metaheuristics. Boston: Kluwer.
Richerson, P. J., & Boyd, R. (2005). Not by genes alone: How culture transformed human evolution. Chicago: The University of Chicago Press.
Seeley, T. (2010). Honeybee democracy. Princeton: Princeton University Press.
Usher, M., & McClelland, J. L. (2001). The time course of perceptual choice: The leaky, competing accumulator model. Psychological Review, 108(3), 550–592.
Voß, S. (2001). Metaheuristics: The state of the art. In Local search for planning and scheduling, A. Nareyek (Ed.). Lecture Notes in Computer Science (Vol. 2148, pp. 1–23). Heidelberg: Springer.
Voudouris, C., & Tsang, E. (2003). Guided local search. In Handbook of metaheuristics, F. Glover & G. Kochengerger, (Eds.) (pp. 185–218). Boston: Kluwer.
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Clark, R., Kimbrough, S.O. (2020). What Can Honeybees Tell Us About Social Learning?. In: Carmichael, T., Yang, Z. (eds) Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas. CSSSA 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-35902-7_12
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